diff --git a/pyproject.toml b/pyproject.toml
index 934ef7f0..55a347f8 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -35,6 +35,10 @@ dependencies = [
 ]
 
 [project.optional-dependencies]
+mcp = [
+    "fastmcp>=2.0.0 ; python_version >= '3.10'",
+    "pydantic-settings>=2.0",
+]
 mistralai = ["mistralai>=1.0.0"]
 openai = ["openai>=1.1.0"]
 nltk = ["nltk>=3.8.1,<4"]
diff --git a/redisvl/mcp/__init__.py b/redisvl/mcp/__init__.py
new file mode 100644
index 00000000..f86933e6
--- /dev/null
+++ b/redisvl/mcp/__init__.py
@@ -0,0 +1,14 @@
+from redisvl.mcp.config import MCPConfig, load_mcp_config
+from redisvl.mcp.errors import MCPErrorCode, RedisVLMCPError, map_exception
+from redisvl.mcp.server import RedisVLMCPServer
+from redisvl.mcp.settings import MCPSettings
+
+__all__ = [
+    "MCPConfig",
+    "MCPErrorCode",
+    "MCPSettings",
+    "RedisVLMCPError",
+    "RedisVLMCPServer",
+    "load_mcp_config",
+    "map_exception",
+]
diff --git a/redisvl/mcp/config.py b/redisvl/mcp/config.py
new file mode 100644
index 00000000..939c7c6d
--- /dev/null
+++ b/redisvl/mcp/config.py
@@ -0,0 +1,297 @@
+import os
+import re
+from copy import deepcopy
+from pathlib import Path
+from typing import Any, Dict, Optional
+
+import yaml
+from pydantic import BaseModel, ConfigDict, Field, model_validator
+
+from redisvl.schema.fields import BaseField
+from redisvl.schema.schema import IndexSchema
+
+_ENV_PATTERN = re.compile(r"\$\{([^}:]+)(?::-([^}]*))?\}")
+
+
+class MCPRuntimeConfig(BaseModel):
+    """Runtime limits and validated field mappings for MCP requests."""
+
+    text_field_name: str = Field(..., min_length=1)
+    vector_field_name: str = Field(..., min_length=1)
+    default_embed_text_field: str = Field(..., min_length=1)
+    default_limit: int = 10
+    max_limit: int = 100
+    max_upsert_records: int = 64
+    skip_embedding_if_present: bool = True
+    startup_timeout_seconds: int = 30
+    request_timeout_seconds: int = 60
+    max_concurrency: int = 16
+
+    @model_validator(mode="after")
+    def _validate_limits(self) -> "MCPRuntimeConfig":
+        """Validate runtime bounds during config load."""
+        if self.default_limit <= 0:
+            raise ValueError("runtime.default_limit must be greater than 0")
+        if self.max_limit < self.default_limit:
+            raise ValueError(
+                "runtime.max_limit must be greater than or equal to runtime.default_limit"
+            )
+        if self.max_upsert_records <= 0:
+            raise ValueError("runtime.max_upsert_records must be greater than 0")
+        if self.startup_timeout_seconds <= 0:
+            raise ValueError("runtime.startup_timeout_seconds must be greater than 0")
+        if self.request_timeout_seconds <= 0:
+            raise ValueError("runtime.request_timeout_seconds must be greater than 0")
+        if self.max_concurrency <= 0:
+            raise ValueError("runtime.max_concurrency must be greater than 0")
+        return self
+
+
+class MCPVectorizerConfig(BaseModel):
+    """Vectorizer constructor contract loaded from YAML."""
+
+    model_config = ConfigDict(populate_by_name=True, extra="allow")
+
+    class_name: str = Field(alias="class", min_length=1)
+    model: str = Field(..., min_length=1)
+
+    @property
+    def extra_kwargs(self) -> Dict[str, Any]:
+        """Return vectorizer kwargs other than the normalized `class` and `model`."""
+        return dict(self.model_extra or {})
+
+    def to_init_kwargs(self) -> Dict[str, Any]:
+        """Build kwargs suitable for directly instantiating the vectorizer."""
+        return {"model": self.model, **self.extra_kwargs}
+
+
+class MCPServerConfig(BaseModel):
+    """Server-level bootstrap configuration."""
+
+    redis_url: str = Field(..., min_length=1)
+
+
+class MCPSchemaOverrideField(BaseModel):
+    """Allowed schema override fragment for one already-discovered field."""
+
+    name: str = Field(..., min_length=1)
+    type: str = Field(..., min_length=1)
+    path: Optional[str] = None
+    attrs: Dict[str, Any] = Field(default_factory=dict)
+
+
+class MCPSchemaOverrides(BaseModel):
+    """Optional field-level schema patches used to fill inspection gaps."""
+
+    fields: list[MCPSchemaOverrideField] = Field(default_factory=list)
+
+
+class MCPIndexBindingConfig(BaseModel):
+    """The sole configured v1 index binding."""
+
+    redis_name: str = Field(..., min_length=1)
+    vectorizer: MCPVectorizerConfig
+    runtime: MCPRuntimeConfig
+    schema_overrides: MCPSchemaOverrides = Field(default_factory=MCPSchemaOverrides)
+
+
+class MCPConfig(BaseModel):
+    """Validated MCP server configuration loaded from YAML."""
+
+    server: MCPServerConfig
+    indexes: Dict[str, MCPIndexBindingConfig]
+
+    @model_validator(mode="after")
+    def _validate_bindings(self) -> "MCPConfig":
+        """Validate that there is exactly one configured logical binding."""
+        if len(self.indexes) != 1:
+            raise ValueError(
+                "indexes must contain exactly one configured index binding"
+            )
+
+        binding_id = next(iter(self.indexes))
+        if not binding_id.strip():
+            raise ValueError("indexes binding id must be non-blank")
+        return self
+
+    @property
+    def binding_id(self) -> str:
+        """Return the single logical binding identifier configured for v1."""
+        return next(iter(self.indexes))
+
+    @property
+    def binding(self) -> MCPIndexBindingConfig:
+        """Return the sole configured binding."""
+        return self.indexes[self.binding_id]
+
+    @property
+    def runtime(self) -> MCPRuntimeConfig:
+        """Expose the sole binding's runtime config for phase 1."""
+        return self.binding.runtime
+
+    @property
+    def vectorizer(self) -> MCPVectorizerConfig:
+        """Expose the sole binding's vectorizer config for phase 1."""
+        return self.binding.vectorizer
+
+    @property
+    def redis_name(self) -> str:
+        """Return the existing Redis index name that must be inspected at startup."""
+        return self.binding.redis_name
+
+    def inspected_schema_from_index_info(
+        self, index_info: Dict[str, Any]
+    ) -> Dict[str, Any]:
+        """Build a schema dict from FT.INFO while preserving discovered field identity.
+
+        RedisVL's generic FT.INFO conversion omits vector fields when their attrs are
+        incomplete on older Redis versions. MCP needs those field identities to survive
+        so schema overrides can patch the missing attrs during startup.
+        """
+        from redisvl.redis.connection import convert_index_info_to_schema
+
+        schema_dict = convert_index_info_to_schema(index_info)
+        discovered_fields = {
+            field["name"]: field
+            for field in schema_dict.get("fields", [])
+            if isinstance(field, dict) and "name" in field
+        }
+
+        storage_type = index_info["index_definition"][1].lower()
+        for raw_field in index_info.get("attributes", []):
+            name = raw_field[1] if storage_type == "hash" else raw_field[3]
+            if name in discovered_fields:
+                continue
+
+            field = {
+                "name": name,
+                "type": str(raw_field[5]).lower(),
+            }
+            if storage_type == "json":
+                field["path"] = raw_field[1]
+
+            # Keep discovered field identity even when FT.INFO omitted attrs.
+            schema_dict.setdefault("fields", []).append(field)
+
+        return schema_dict
+
+    def merge_schema_overrides(
+        self, inspected_schema: Dict[str, Any]
+    ) -> Dict[str, Any]:
+        """Apply validated schema overrides without allowing identity changes."""
+        merged_schema = deepcopy(inspected_schema)
+        merged_fields = merged_schema.setdefault("fields", [])
+        discovered_fields = {
+            field["name"]: field
+            for field in merged_fields
+            if isinstance(field, dict) and "name" in field
+        }
+
+        for override in self.binding.schema_overrides.fields:
+            discovered = discovered_fields.get(override.name)
+            if discovered is None:
+                raise ValueError(
+                    f"schema_overrides.fields '{override.name}' not found in inspected schema"
+                )
+
+            discovered_type = str(discovered.get("type", "")).lower()
+            override_type = override.type.lower()
+            if discovered_type != override_type:
+                raise ValueError(
+                    f"schema_overrides.fields '{override.name}' cannot change discovered field type"
+                )
+
+            discovered_path = discovered.get("path")
+            if override.path is not None and override.path != discovered_path:
+                raise ValueError(
+                    f"schema_overrides.fields '{override.name}' cannot change discovered field path"
+                )
+
+            if override.attrs:
+                merged_attrs = dict(discovered.get("attrs", {}))
+                merged_attrs.update(override.attrs)
+                discovered["attrs"] = merged_attrs
+
+        return merged_schema
+
+    def validate_runtime_mapping(self, schema: IndexSchema) -> None:
+        """Ensure runtime mappings point at explicit fields in the effective schema."""
+        field_names = set(schema.field_names)
+
+        if self.runtime.text_field_name not in field_names:
+            raise ValueError(
+                f"runtime.text_field_name '{self.runtime.text_field_name}' not found in schema"
+            )
+
+        if self.runtime.default_embed_text_field not in field_names:
+            raise ValueError(
+                "runtime.default_embed_text_field "
+                f"'{self.runtime.default_embed_text_field}' not found in schema"
+            )
+
+        vector_field = schema.fields.get(self.runtime.vector_field_name)
+        if vector_field is None:
+            raise ValueError(
+                f"runtime.vector_field_name '{self.runtime.vector_field_name}' not found in schema"
+            )
+        if vector_field.type != "vector":
+            raise ValueError(
+                f"runtime.vector_field_name '{self.runtime.vector_field_name}' must reference a vector field"
+            )
+
+    def to_index_schema(self, inspected_schema: Dict[str, Any]) -> IndexSchema:
+        """Apply overrides to an inspected schema and validate the effective result."""
+        merged_schema = self.merge_schema_overrides(inspected_schema)
+        schema = IndexSchema.model_validate(merged_schema)
+        self.validate_runtime_mapping(schema)
+        return schema
+
+    def get_vector_field(self, schema: IndexSchema) -> BaseField:
+        """Return the effective vector field from a validated schema."""
+        return schema.fields[self.runtime.vector_field_name]
+
+    def get_vector_field_dims(self, schema: IndexSchema) -> Optional[int]:
+        """Return the effective vector dimensions when the field exposes them."""
+        attrs = self.get_vector_field(schema).attrs
+        return getattr(attrs, "dims", None)
+
+
+def _substitute_env(value: Any) -> Any:
+    """Recursively resolve `${VAR}` and `${VAR:-default}` placeholders."""
+    if isinstance(value, dict):
+        return {key: _substitute_env(item) for key, item in value.items()}
+    if isinstance(value, list):
+        return [_substitute_env(item) for item in value]
+    if not isinstance(value, str):
+        return value
+
+    def replace(match: re.Match[str]) -> str:
+        name = match.group(1)
+        default = match.group(2)
+        env_value = os.environ.get(name)
+        if env_value is not None:
+            return env_value
+        if default is not None:
+            return default
+        raise ValueError(f"Missing required environment variable: {name}")
+
+    return _ENV_PATTERN.sub(replace, value)
+
+
+def load_mcp_config(path: str) -> MCPConfig:
+    """Load, substitute, and validate the MCP YAML configuration file."""
+    config_path = Path(path).expanduser()
+    if not config_path.exists():
+        raise FileNotFoundError(f"MCP config file {path} does not exist")
+
+    try:
+        with config_path.open("r", encoding="utf-8") as file:
+            raw_data = yaml.safe_load(file)
+    except yaml.YAMLError as exc:
+        raise ValueError(f"Invalid MCP config YAML: {exc}") from exc
+
+    if not isinstance(raw_data, dict):
+        raise ValueError("Invalid MCP config YAML: root document must be a mapping")
+
+    substituted = _substitute_env(raw_data)
+    return MCPConfig.model_validate(substituted)
diff --git a/redisvl/mcp/errors.py b/redisvl/mcp/errors.py
new file mode 100644
index 00000000..54fb59bc
--- /dev/null
+++ b/redisvl/mcp/errors.py
@@ -0,0 +1,69 @@
+import asyncio
+from enum import Enum
+from typing import Any, Dict, Optional
+
+from pydantic import ValidationError
+from redis.exceptions import RedisError
+
+from redisvl.exceptions import RedisSearchError
+
+
+class MCPErrorCode(str, Enum):
+    """Stable internal error codes exposed by the MCP framework."""
+
+    INVALID_REQUEST = "invalid_request"
+    DEPENDENCY_MISSING = "dependency_missing"
+    BACKEND_UNAVAILABLE = "backend_unavailable"
+    INTERNAL_ERROR = "internal_error"
+
+
+class RedisVLMCPError(Exception):
+    """Framework-facing exception carrying a stable MCP error contract."""
+
+    def __init__(
+        self,
+        message: str,
+        *,
+        code: MCPErrorCode,
+        retryable: bool,
+        metadata: Optional[Dict[str, Any]] = None,
+    ) -> None:
+        super().__init__(message)
+        self.code = code
+        self.retryable = retryable
+        self.metadata = metadata or {}
+
+
+def map_exception(exc: Exception) -> RedisVLMCPError:
+    """Map framework exceptions into deterministic MCP-facing exceptions."""
+    if isinstance(exc, RedisVLMCPError):
+        return exc
+
+    if isinstance(exc, (ValidationError, ValueError, FileNotFoundError)):
+        return RedisVLMCPError(
+            str(exc),
+            code=MCPErrorCode.INVALID_REQUEST,
+            retryable=False,
+        )
+
+    if isinstance(exc, ImportError):
+        return RedisVLMCPError(
+            str(exc),
+            code=MCPErrorCode.DEPENDENCY_MISSING,
+            retryable=False,
+        )
+
+    if isinstance(
+        exc, (TimeoutError, asyncio.TimeoutError, RedisSearchError, RedisError)
+    ):
+        return RedisVLMCPError(
+            str(exc),
+            code=MCPErrorCode.BACKEND_UNAVAILABLE,
+            retryable=True,
+        )
+
+    return RedisVLMCPError(
+        str(exc),
+        code=MCPErrorCode.INTERNAL_ERROR,
+        retryable=False,
+    )
diff --git a/redisvl/mcp/server.py b/redisvl/mcp/server.py
new file mode 100644
index 00000000..12e1d6db
--- /dev/null
+++ b/redisvl/mcp/server.py
@@ -0,0 +1,162 @@
+import asyncio
+from importlib import import_module
+from typing import Any, Awaitable, Optional, Type
+
+from redisvl.exceptions import RedisSearchError
+from redisvl.index import AsyncSearchIndex
+from redisvl.mcp.config import MCPConfig, load_mcp_config
+from redisvl.mcp.settings import MCPSettings
+from redisvl.redis.connection import RedisConnectionFactory
+from redisvl.schema import IndexSchema
+
+try:
+    from fastmcp import FastMCP
+except ImportError:
+
+    class FastMCP:  # type: ignore[no-redef]
+        """Import-safe stand-in used when the optional MCP SDK is unavailable."""
+
+        def __init__(self, *args, **kwargs):
+            self.args = args
+            self.kwargs = kwargs
+
+
+def resolve_vectorizer_class(class_name: str) -> Type[Any]:
+    """Resolve a vectorizer class from the public RedisVL vectorizer module."""
+    vectorize_module = import_module("redisvl.utils.vectorize")
+    try:
+        return getattr(vectorize_module, class_name)
+    except AttributeError as exc:
+        raise ValueError(f"Unknown vectorizer class: {class_name}") from exc
+
+
+class RedisVLMCPServer(FastMCP):
+    """MCP server exposing RedisVL capabilities for one existing Redis index."""
+
+    def __init__(self, settings: MCPSettings):
+        """Create a server shell with lazy config, index, and vectorizer state."""
+        super().__init__("redisvl")
+        self.mcp_settings = settings
+        self.config: Optional[MCPConfig] = None
+        self._index: Optional[AsyncSearchIndex] = None
+        self._vectorizer: Optional[Any] = None
+        self._semaphore: Optional[asyncio.Semaphore] = None
+
+    async def startup(self) -> None:
+        """Load config, inspect the configured index, and initialize dependencies."""
+        self.config = load_mcp_config(self.mcp_settings.config)
+        self._semaphore = asyncio.Semaphore(self.config.runtime.max_concurrency)
+        timeout = self.config.runtime.startup_timeout_seconds
+        client = None
+
+        try:
+            client = await asyncio.wait_for(
+                RedisConnectionFactory._get_aredis_connection(
+                    redis_url=self.config.server.redis_url
+                ),
+                timeout=timeout,
+            )
+            await asyncio.wait_for(client.info("server"), timeout=timeout)
+
+            try:
+                index_info = await asyncio.wait_for(
+                    AsyncSearchIndex._info(self.config.redis_name, client),
+                    timeout=timeout,
+                )
+            except RedisSearchError as exc:
+                if self._is_missing_index_error(exc):
+                    raise ValueError(
+                        f"Configured Redis index '{self.config.redis_name}' does not exist"
+                    ) from exc
+                raise
+
+            inspected_schema = self.config.inspected_schema_from_index_info(index_info)
+            effective_schema = self.config.to_index_schema(inspected_schema)
+            self._index = AsyncSearchIndex(schema=effective_schema, redis_client=client)
+            # The server acquired this client explicitly during startup, so hand
+            # ownership to the index for a single shutdown path.
+            self._index._owns_redis_client = True
+
+            self._vectorizer = await asyncio.wait_for(
+                asyncio.to_thread(self._build_vectorizer),
+                timeout=timeout,
+            )
+            self._validate_vectorizer_dims(effective_schema)
+        except Exception:
+            if self._index is not None:
+                await self.shutdown()
+            elif client is not None:
+                await client.aclose()
+            raise
+
+    async def shutdown(self) -> None:
+        """Release owned vectorizer and Redis resources."""
+        vectorizer = self._vectorizer
+        self._vectorizer = None
+        try:
+            if vectorizer is not None:
+                aclose = getattr(vectorizer, "aclose", None)
+                close = getattr(vectorizer, "close", None)
+                if callable(aclose):
+                    await aclose()
+                elif callable(close):
+                    close()
+        finally:
+            if self._index is not None:
+                index = self._index
+                self._index = None
+                await index.disconnect()
+
+    async def get_index(self) -> AsyncSearchIndex:
+        """Return the initialized async index or fail if startup has not run."""
+        if self._index is None:
+            raise RuntimeError("MCP server has not been started")
+        return self._index
+
+    async def get_vectorizer(self) -> Any:
+        """Return the initialized vectorizer or fail if startup has not run."""
+        if self._vectorizer is None:
+            raise RuntimeError("MCP server has not been started")
+        return self._vectorizer
+
+    async def run_guarded(self, operation_name: str, awaitable: Awaitable[Any]) -> Any:
+        """Run a coroutine under the configured concurrency and timeout limits."""
+        del operation_name
+        if self.config is None or self._semaphore is None:
+            raise RuntimeError("MCP server has not been started")
+
+        async with self._semaphore:
+            return await asyncio.wait_for(
+                awaitable,
+                timeout=self.config.runtime.request_timeout_seconds,
+            )
+
+    def _build_vectorizer(self) -> Any:
+        """Instantiate the configured vectorizer class from validated config."""
+        if self.config is None:
+            raise RuntimeError("MCP server config not loaded")
+
+        vectorizer_class = resolve_vectorizer_class(self.config.vectorizer.class_name)
+        return vectorizer_class(**self.config.vectorizer.to_init_kwargs())
+
+    def _validate_vectorizer_dims(self, schema: IndexSchema) -> None:
+        """Fail startup when vectorizer dimensions disagree with schema dimensions."""
+        if self.config is None or self._vectorizer is None:
+            return
+
+        configured_dims = self.config.get_vector_field_dims(schema)
+        actual_dims = getattr(self._vectorizer, "dims", None)
+        if (
+            configured_dims is not None
+            and actual_dims is not None
+            and configured_dims != actual_dims
+        ):
+            raise ValueError(
+                f"Vectorizer dims {actual_dims} do not match configured vector field dims {configured_dims}"
+            )
+
+    @staticmethod
+    def _is_missing_index_error(exc: RedisSearchError) -> bool:
+        """Detect the Redis search errors that mean the configured index is absent."""
+        message = str(exc).lower()
+        return "unknown index name" in message or "no such index" in message
diff --git a/redisvl/mcp/settings.py b/redisvl/mcp/settings.py
new file mode 100644
index 00000000..14aca88d
--- /dev/null
+++ b/redisvl/mcp/settings.py
@@ -0,0 +1,41 @@
+from typing import Any, Optional, cast
+
+from pydantic import Field
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+
+class MCPSettings(BaseSettings):
+    """Environment-backed settings for bootstrapping the MCP server."""
+
+    model_config = SettingsConfigDict(
+        env_prefix="REDISVL_MCP_",
+        extra="ignore",
+    )
+
+    config: str = Field(..., min_length=1)
+    read_only: bool = False
+    tool_search_description: Optional[str] = None
+    tool_upsert_description: Optional[str] = None
+
+    @classmethod
+    def from_env(
+        cls,
+        *,
+        config: Optional[str] = None,
+        read_only: Optional[bool] = None,
+        tool_search_description: Optional[str] = None,
+        tool_upsert_description: Optional[str] = None,
+    ) -> "MCPSettings":
+        """Build settings from explicit overrides plus `REDISVL_MCP_*` env vars."""
+        overrides: dict[str, object] = {}
+        if config is not None:
+            overrides["config"] = config
+        if read_only is not None:
+            overrides["read_only"] = read_only
+        if tool_search_description is not None:
+            overrides["tool_search_description"] = tool_search_description
+        if tool_upsert_description is not None:
+            overrides["tool_upsert_description"] = tool_upsert_description
+
+        # `BaseSettings` fills any missing fields from the configured env prefix.
+        return cls(**cast(dict[str, Any], overrides))
diff --git a/tests/integration/test_mcp/test_server_startup.py b/tests/integration/test_mcp/test_server_startup.py
new file mode 100644
index 00000000..8709202a
--- /dev/null
+++ b/tests/integration/test_mcp/test_server_startup.py
@@ -0,0 +1,354 @@
+from pathlib import Path
+from typing import Optional
+
+import pytest
+import yaml
+
+from redisvl.index import AsyncSearchIndex
+from redisvl.mcp.server import RedisVLMCPServer
+from redisvl.mcp.settings import MCPSettings
+from redisvl.schema import IndexSchema
+
+
+class FakeVectorizer:
+    def __init__(self, model: str, dims: int = 3, **kwargs):
+        self.model = model
+        self.dims = dims
+        self.kwargs = kwargs
+
+
+class FailingAsyncCloseVectorizer(FakeVectorizer):
+    async def aclose(self):
+        raise RuntimeError("vectorizer close failed")
+
+
+@pytest.fixture
+async def existing_index(async_client, worker_id):
+    created_indexes = []
+
+    async def factory(
+        *,
+        index_name: str,
+        storage_type: str = "hash",
+        vector_path: Optional[str] = None,
+    ) -> AsyncSearchIndex:
+        fields = [{"name": "content", "type": "text"}]
+        vector_field = {
+            "name": "embedding",
+            "type": "vector",
+            "attrs": {
+                "algorithm": "flat",
+                "dims": 3,
+                "distance_metric": "cosine",
+                "datatype": "float32",
+            },
+        }
+        if storage_type == "json":
+            fields[0]["path"] = "$.content"
+            vector_field["path"] = vector_path or "$.embedding"
+
+        fields.append(vector_field)
+        schema = IndexSchema.from_dict(
+            {
+                "index": {
+                    "name": f"{index_name}-{worker_id}",
+                    "prefix": f"{index_name}:{worker_id}",
+                    "storage_type": storage_type,
+                },
+                "fields": fields,
+            }
+        )
+        index = AsyncSearchIndex(schema=schema, redis_client=async_client)
+        await index.create(overwrite=True, drop=True)
+        created_indexes.append(index)
+        return index
+
+    yield factory
+
+    for index in created_indexes:
+        try:
+            await index.delete(drop=True)
+        except Exception:
+            pass
+
+
+@pytest.fixture
+def mcp_config_path(tmp_path: Path, redis_url: str):
+    def factory(
+        *,
+        redis_name: str,
+        vector_dims: int = 3,
+        schema_overrides: Optional[dict] = None,
+        runtime_overrides: Optional[dict] = None,
+    ) -> str:
+        runtime = {
+            "text_field_name": "content",
+            "vector_field_name": "embedding",
+            "default_embed_text_field": "content",
+        }
+        if runtime_overrides:
+            runtime.update(runtime_overrides)
+
+        config = {
+            "server": {"redis_url": redis_url},
+            "indexes": {
+                "knowledge": {
+                    "redis_name": redis_name,
+                    "vectorizer": {
+                        "class": "FakeVectorizer",
+                        "model": "fake-model",
+                        "dims": vector_dims,
+                    },
+                    "runtime": runtime,
+                }
+            },
+        }
+        if schema_overrides is not None:
+            config["indexes"]["knowledge"]["schema_overrides"] = schema_overrides
+
+        config_path = tmp_path / f"{redis_name}.yaml"
+        config_path.write_text(yaml.safe_dump(config), encoding="utf-8")
+        return str(config_path)
+
+    return factory
+
+
+@pytest.mark.asyncio
+async def test_server_startup_success(monkeypatch, existing_index, mcp_config_path):
+    index = await existing_index(index_name="mcp-startup")
+    monkeypatch.setattr(
+        "redisvl.mcp.server.resolve_vectorizer_class",
+        lambda class_name: FakeVectorizer,
+    )
+    server = RedisVLMCPServer(
+        MCPSettings(config=mcp_config_path(redis_name=index.name))
+    )
+
+    await server.startup()
+
+    started_index = await server.get_index()
+    vectorizer = await server.get_vectorizer()
+
+    assert await started_index.exists() is True
+    assert started_index.schema.index.name == index.name
+    assert vectorizer.dims == 3
+
+    await server.shutdown()
+
+
+@pytest.mark.asyncio
+async def test_server_fails_when_configured_index_is_missing(
+    monkeypatch, mcp_config_path, worker_id
+):
+    monkeypatch.setattr(
+        "redisvl.mcp.server.resolve_vectorizer_class",
+        lambda class_name: FakeVectorizer,
+    )
+    server = RedisVLMCPServer(
+        MCPSettings(config=mcp_config_path(redis_name=f"missing-{worker_id}"))
+    )
+
+    with pytest.raises(ValueError, match="does not exist"):
+        await server.startup()
+
+
+@pytest.mark.asyncio
+async def test_server_uses_schema_overrides_when_inspection_is_incomplete(
+    monkeypatch, existing_index, mcp_config_path
+):
+    index = await existing_index(index_name="mcp-overrides")
+    monkeypatch.setattr(
+        "redisvl.mcp.server.resolve_vectorizer_class",
+        lambda class_name: FakeVectorizer,
+    )
+    original_info = AsyncSearchIndex._info
+
+    async def incomplete_info(name, redis_client):
+        info = await original_info(name, redis_client)
+        for field in info["attributes"]:
+            if "VECTOR" in field:
+                del field[6:]
+        return info
+
+    monkeypatch.setattr(
+        "redisvl.mcp.server.AsyncSearchIndex._info",
+        staticmethod(incomplete_info),
+    )
+    server = RedisVLMCPServer(
+        MCPSettings(
+            config=mcp_config_path(
+                redis_name=index.name,
+                schema_overrides={
+                    "fields": [
+                        {
+                            "name": "embedding",
+                            "type": "vector",
+                            "attrs": {
+                                "algorithm": "flat",
+                                "dims": 3,
+                                "datatype": "float32",
+                                "distance_metric": "cosine",
+                            },
+                        }
+                    ]
+                },
+            )
+        )
+    )
+
+    await server.startup()
+
+    started_index = await server.get_index()
+    assert started_index.schema.fields["embedding"].attrs.dims == 3
+
+    await server.shutdown()
+
+
+@pytest.mark.asyncio
+async def test_server_fails_on_conflicting_schema_override(
+    monkeypatch, existing_index, mcp_config_path
+):
+    index = await existing_index(
+        index_name="mcp-conflict",
+        storage_type="json",
+        vector_path="$.embedding",
+    )
+    monkeypatch.setattr(
+        "redisvl.mcp.server.resolve_vectorizer_class",
+        lambda class_name: FakeVectorizer,
+    )
+    server = RedisVLMCPServer(
+        MCPSettings(
+            config=mcp_config_path(
+                redis_name=index.name,
+                schema_overrides={
+                    "fields": [
+                        {
+                            "name": "embedding",
+                            "type": "vector",
+                            "path": "$.other_embedding",
+                        }
+                    ]
+                },
+            )
+        )
+    )
+
+    with pytest.raises(ValueError, match="cannot change discovered field path"):
+        await server.startup()
+
+
+@pytest.mark.asyncio
+async def test_server_fails_fast_on_vector_dimension_mismatch(
+    monkeypatch, existing_index, mcp_config_path
+):
+    index = await existing_index(index_name="mcp-dims")
+    monkeypatch.setattr(
+        "redisvl.mcp.server.resolve_vectorizer_class",
+        lambda class_name: FakeVectorizer,
+    )
+    server = RedisVLMCPServer(
+        MCPSettings(config=mcp_config_path(redis_name=index.name, vector_dims=8))
+    )
+
+    with pytest.raises(ValueError, match="Vectorizer dims"):
+        await server.startup()
+
+
+@pytest.mark.asyncio
+async def test_server_startup_failure_disconnects_index(
+    monkeypatch, existing_index, mcp_config_path
+):
+    index = await existing_index(index_name="mcp-startup-failure")
+    monkeypatch.setattr(
+        "redisvl.mcp.server.resolve_vectorizer_class",
+        lambda class_name: FakeVectorizer,
+    )
+    original_disconnect = AsyncSearchIndex.disconnect
+    disconnect_called = False
+
+    async def tracked_disconnect(self):
+        nonlocal disconnect_called
+        disconnect_called = True
+        await original_disconnect(self)
+
+    monkeypatch.setattr(
+        "redisvl.mcp.server.AsyncSearchIndex.disconnect",
+        tracked_disconnect,
+    )
+    server = RedisVLMCPServer(
+        MCPSettings(config=mcp_config_path(redis_name=index.name, vector_dims=8))
+    )
+
+    with pytest.raises(ValueError, match="Vectorizer dims"):
+        await server.startup()
+
+    assert disconnect_called is True
+
+
+@pytest.mark.asyncio
+async def test_server_shutdown_disconnects_owned_client(
+    monkeypatch, existing_index, mcp_config_path
+):
+    index = await existing_index(index_name="mcp-shutdown")
+    monkeypatch.setattr(
+        "redisvl.mcp.server.resolve_vectorizer_class",
+        lambda class_name: FakeVectorizer,
+    )
+    server = RedisVLMCPServer(
+        MCPSettings(config=mcp_config_path(redis_name=index.name))
+    )
+
+    await server.startup()
+    started_index = await server.get_index()
+
+    assert started_index.client is not None
+
+    await server.shutdown()
+
+    assert started_index.client is None
+
+
+@pytest.mark.asyncio
+async def test_server_get_index_fails_after_shutdown(
+    monkeypatch, existing_index, mcp_config_path
+):
+    index = await existing_index(index_name="mcp-get-index-after-shutdown")
+    monkeypatch.setattr(
+        "redisvl.mcp.server.resolve_vectorizer_class",
+        lambda class_name: FakeVectorizer,
+    )
+    server = RedisVLMCPServer(
+        MCPSettings(config=mcp_config_path(redis_name=index.name))
+    )
+
+    await server.startup()
+    await server.shutdown()
+
+    with pytest.raises(RuntimeError, match="has not been started"):
+        await server.get_index()
+
+
+@pytest.mark.asyncio
+async def test_server_shutdown_disconnects_index_when_vectorizer_close_fails(
+    monkeypatch, existing_index, mcp_config_path
+):
+    index = await existing_index(index_name="mcp-shutdown-failure")
+    monkeypatch.setattr(
+        "redisvl.mcp.server.resolve_vectorizer_class",
+        lambda class_name: FailingAsyncCloseVectorizer,
+    )
+    server = RedisVLMCPServer(
+        MCPSettings(config=mcp_config_path(redis_name=index.name))
+    )
+
+    await server.startup()
+    started_index = await server.get_index()
+
+    with pytest.raises(RuntimeError, match="vectorizer close failed"):
+        await server.shutdown()
+
+    assert started_index.client is None
+
+    with pytest.raises(RuntimeError, match="has not been started"):
+        await server.get_vectorizer()
diff --git a/tests/test_imports.py b/tests/test_imports.py
index 4e3aa9b7..b8a0a90a 100644
--- a/tests/test_imports.py
+++ b/tests/test_imports.py
@@ -16,6 +16,10 @@
 import traceback
 from typing import Iterable
 
+# The MCP package depends on optional MCP extras, so import-sanity runs without
+# those extras should skip it rather than fail noisily.
+EXCLUDED_MODULE_PREFIXES = ("redisvl.mcp",)
+
 
 def iter_modules(package_name: str) -> Iterable[str]:
     """Iterate over all modules in a package, including subpackages."""
@@ -34,6 +38,9 @@ def sanity_check_imports(package_name: str) -> int:
     failures = []
 
     for fullname in iter_modules(package_name):
+        if fullname.startswith(EXCLUDED_MODULE_PREFIXES):
+            print(f"[SKIP] {fullname}")
+            continue
         try:
             importlib.import_module(fullname)
             print(f"[ OK ] {fullname}")
diff --git a/tests/unit/test_mcp/conftest.py b/tests/unit/test_mcp/conftest.py
new file mode 100644
index 00000000..f5d7e2bc
--- /dev/null
+++ b/tests/unit/test_mcp/conftest.py
@@ -0,0 +1,8 @@
+import pytest
+
+
+@pytest.fixture(scope="session", autouse=True)
+def redis_container():
+    # Shadow the repo-wide autouse Redis container fixture so MCP unit tests stay
+    # pure-unit and do not require Docker; Redis coverage lives in integration tests.
+    yield None
diff --git a/tests/unit/test_mcp/test_config.py b/tests/unit/test_mcp/test_config.py
new file mode 100644
index 00000000..4a0520f0
--- /dev/null
+++ b/tests/unit/test_mcp/test_config.py
@@ -0,0 +1,277 @@
+from copy import deepcopy
+from pathlib import Path
+
+import pytest
+import yaml
+
+from redisvl.mcp.config import MCPConfig, load_mcp_config
+from redisvl.schema import IndexSchema
+
+
+def _valid_config() -> dict:
+    return {
+        "server": {"redis_url": "redis://localhost:6379"},
+        "indexes": {
+            "knowledge": {
+                "redis_name": "docs-index",
+                "vectorizer": {"class": "FakeVectorizer", "model": "test-model"},
+                "runtime": {
+                    "text_field_name": "content",
+                    "vector_field_name": "embedding",
+                    "default_embed_text_field": "content",
+                },
+            }
+        },
+    }
+
+
+def _inspected_schema() -> dict:
+    return {
+        "index": {
+            "name": "docs-index",
+            "prefix": "doc",
+            "storage_type": "hash",
+        },
+        "fields": [
+            {"name": "content", "type": "text"},
+            {
+                "name": "embedding",
+                "type": "vector",
+                "attrs": {
+                    "algorithm": "flat",
+                    "dims": 3,
+                    "distance_metric": "cosine",
+                    "datatype": "float32",
+                },
+            },
+        ],
+    }
+
+
+def test_load_mcp_config_file_not_found():
+    with pytest.raises(FileNotFoundError):
+        load_mcp_config("/tmp/does-not-exist.yaml")
+
+
+def test_load_mcp_config_invalid_yaml(tmp_path: Path):
+    config_path = tmp_path / "mcp.yaml"
+    config_path.write_text("server: [", encoding="utf-8")
+
+    with pytest.raises(ValueError, match="Invalid MCP config YAML"):
+        load_mcp_config(str(config_path))
+
+
+def test_load_mcp_config_env_substitution(tmp_path: Path, monkeypatch):
+    config_path = tmp_path / "mcp.yaml"
+    config_path.write_text(
+        """
+server:
+  redis_url: ${REDIS_URL:-redis://localhost:6379}
+indexes:
+  knowledge:
+    redis_name: docs-index
+    vectorizer:
+      class: FakeVectorizer
+      model: ${VECTOR_MODEL:-test-model}
+      api_config:
+        api_key: ${OPENAI_API_KEY}
+    runtime:
+      text_field_name: content
+      vector_field_name: embedding
+      default_embed_text_field: content
+""".strip(),
+        encoding="utf-8",
+    )
+    monkeypatch.setenv("OPENAI_API_KEY", "secret")
+
+    config = load_mcp_config(str(config_path))
+
+    assert config.server.redis_url == "redis://localhost:6379"
+    assert config.binding_id == "knowledge"
+    assert config.redis_name == "docs-index"
+    assert config.vectorizer.class_name == "FakeVectorizer"
+    assert config.vectorizer.model == "test-model"
+    assert config.vectorizer.extra_kwargs == {"api_config": {"api_key": "secret"}}
+
+
+def test_load_mcp_config_required_env_missing(tmp_path: Path, monkeypatch):
+    config_path = tmp_path / "mcp.yaml"
+    config_path.write_text(
+        """
+server:
+  redis_url: redis://localhost:6379
+indexes:
+  knowledge:
+    redis_name: docs-index
+    vectorizer:
+      class: FakeVectorizer
+      model: ${VECTOR_MODEL}
+    runtime:
+      text_field_name: content
+      vector_field_name: embedding
+      default_embed_text_field: content
+""".strip(),
+        encoding="utf-8",
+    )
+    monkeypatch.delenv("VECTOR_MODEL", raising=False)
+
+    with pytest.raises(ValueError, match="Missing required environment variable"):
+        load_mcp_config(str(config_path))
+
+
+def test_mcp_config_requires_server_redis_url():
+    config = _valid_config()
+    config["server"]["redis_url"] = ""
+
+    with pytest.raises(ValueError, match="redis_url"):
+        MCPConfig.model_validate(config)
+
+
+@pytest.mark.parametrize(
+    "indexes",
+    [
+        {},
+        {
+            "knowledge": deepcopy(_valid_config()["indexes"]["knowledge"]),
+            "other": deepcopy(_valid_config()["indexes"]["knowledge"]),
+        },
+    ],
+)
+def test_mcp_config_validates_index_count(indexes):
+    config = _valid_config()
+    config["indexes"] = indexes
+
+    with pytest.raises(ValueError, match="exactly one configured index binding"):
+        MCPConfig.model_validate(config)
+
+
+def test_mcp_config_rejects_blank_binding_id():
+    config = _valid_config()
+    config["indexes"] = {"": deepcopy(config["indexes"]["knowledge"])}
+
+    with pytest.raises(ValueError, match="binding id"):
+        MCPConfig.model_validate(config)
+
+
+def test_mcp_config_rejects_blank_redis_name():
+    config = _valid_config()
+    config["indexes"]["knowledge"]["redis_name"] = ""
+
+    with pytest.raises(ValueError, match="redis_name"):
+        MCPConfig.model_validate(config)
+
+
+def test_mcp_config_binding_helpers():
+    config = MCPConfig.model_validate(_valid_config())
+
+    assert config.binding_id == "knowledge"
+    assert config.binding.redis_name == "docs-index"
+    assert config.runtime.default_embed_text_field == "content"
+    assert config.vectorizer.class_name == "FakeVectorizer"
+    assert config.redis_name == "docs-index"
+
+
+def test_mcp_config_merges_schema_overrides_into_inspection_result():
+    config_dict = _valid_config()
+    config_dict["indexes"]["knowledge"]["schema_overrides"] = {
+        "fields": [
+            {
+                "name": "embedding",
+                "type": "vector",
+                "attrs": {
+                    "dims": 1536,
+                    "datatype": "float32",
+                    "distance_metric": "cosine",
+                },
+            }
+        ]
+    }
+    inspected = _inspected_schema()
+    inspected["fields"][1]["attrs"] = {"algorithm": "flat"}
+    config = MCPConfig.model_validate(config_dict)
+
+    schema = config.to_index_schema(inspected)
+
+    assert isinstance(schema, IndexSchema)
+    assert schema.index.name == "docs-index"
+    assert schema.fields["embedding"].attrs.dims == 1536
+    assert str(schema.fields["embedding"].attrs.algorithm).lower().endswith("flat")
+
+
+def test_mcp_config_rejects_override_for_unknown_field():
+    config_dict = _valid_config()
+    config_dict["indexes"]["knowledge"]["schema_overrides"] = {
+        "fields": [{"name": "missing", "type": "text"}]
+    }
+    config = MCPConfig.model_validate(config_dict)
+
+    with pytest.raises(ValueError, match="schema_overrides.fields.*missing"):
+        config.to_index_schema(_inspected_schema())
+
+
+def test_mcp_config_rejects_override_type_conflict():
+    config_dict = _valid_config()
+    config_dict["indexes"]["knowledge"]["schema_overrides"] = {
+        "fields": [{"name": "embedding", "type": "text"}]
+    }
+    config = MCPConfig.model_validate(config_dict)
+
+    with pytest.raises(ValueError, match="cannot change discovered field type"):
+        config.to_index_schema(_inspected_schema())
+
+
+def test_mcp_config_rejects_override_path_conflict():
+    config_dict = _valid_config()
+    config_dict["indexes"]["knowledge"]["schema_overrides"] = {
+        "fields": [{"name": "content", "type": "text", "path": "$.body"}]
+    }
+    inspected = {
+        "index": {
+            "name": "docs-index",
+            "prefix": "doc",
+            "storage_type": "json",
+        },
+        "fields": [
+            {"name": "content", "type": "text", "path": "$.content"},
+            {
+                "name": "embedding",
+                "type": "vector",
+                "path": "$.embedding",
+                "attrs": {
+                    "algorithm": "flat",
+                    "dims": 3,
+                    "distance_metric": "cosine",
+                    "datatype": "float32",
+                },
+            },
+        ],
+    }
+    config = MCPConfig.model_validate(config_dict)
+
+    with pytest.raises(ValueError, match="cannot change discovered field path"):
+        config.to_index_schema(inspected)
+
+
+def test_mcp_config_validates_runtime_mapping_against_effective_schema():
+    config_dict = _valid_config()
+    config_dict["indexes"]["knowledge"]["runtime"]["vector_field_name"] = "content"
+    config = MCPConfig.model_validate(config_dict)
+
+    with pytest.raises(ValueError, match="runtime.vector_field_name"):
+        config.to_index_schema(_inspected_schema())
+
+
+def test_load_mcp_config_requires_exactly_one_binding(tmp_path: Path):
+    config_path = tmp_path / "mcp.yaml"
+    config_path.write_text(
+        yaml.safe_dump(
+            {
+                "server": {"redis_url": "redis://localhost:6379"},
+                "indexes": {},
+            }
+        ),
+        encoding="utf-8",
+    )
+
+    with pytest.raises(ValueError, match="exactly one configured index binding"):
+        load_mcp_config(str(config_path))
diff --git a/tests/unit/test_mcp/test_errors.py b/tests/unit/test_mcp/test_errors.py
new file mode 100644
index 00000000..066e3173
--- /dev/null
+++ b/tests/unit/test_mcp/test_errors.py
@@ -0,0 +1,66 @@
+from pydantic import BaseModel, ValidationError
+from redis.exceptions import ConnectionError as RedisConnectionError
+
+from redisvl.exceptions import RedisSearchError
+from redisvl.mcp.errors import MCPErrorCode, RedisVLMCPError, map_exception
+
+
+class SampleModel(BaseModel):
+    value: int
+
+
+def test_validation_errors_map_to_invalid_request():
+    try:
+        SampleModel.model_validate({"value": "bad"})
+    except ValidationError as exc:
+        mapped = map_exception(exc)
+
+    assert mapped.code == MCPErrorCode.INVALID_REQUEST
+    assert mapped.retryable is False
+
+
+def test_import_error_maps_to_dependency_missing():
+    mapped = map_exception(ImportError("missing package"))
+
+    assert mapped.code == MCPErrorCode.DEPENDENCY_MISSING
+    assert mapped.retryable is False
+
+
+def test_redis_errors_map_to_backend_unavailable():
+    mapped = map_exception(RedisSearchError("redis unavailable"))
+
+    assert mapped.code == MCPErrorCode.BACKEND_UNAVAILABLE
+    assert mapped.retryable is True
+
+
+def test_redis_connection_errors_map_to_backend_unavailable():
+    mapped = map_exception(RedisConnectionError("boom"))
+
+    assert mapped.code == MCPErrorCode.BACKEND_UNAVAILABLE
+    assert mapped.retryable is True
+
+
+def test_timeout_error_maps_to_backend_unavailable():
+    mapped = map_exception(TimeoutError("timed out"))
+
+    assert mapped.code == MCPErrorCode.BACKEND_UNAVAILABLE
+    assert mapped.retryable is True
+
+
+def test_unknown_errors_map_to_internal_error():
+    mapped = map_exception(RuntimeError("unexpected"))
+
+    assert mapped.code == MCPErrorCode.INTERNAL_ERROR
+    assert mapped.retryable is False
+
+
+def test_existing_framework_error_is_preserved():
+    original = RedisVLMCPError(
+        "already mapped",
+        code=MCPErrorCode.INVALID_REQUEST,
+        retryable=False,
+    )
+
+    mapped = map_exception(original)
+
+    assert mapped is original
diff --git a/tests/unit/test_mcp/test_settings.py b/tests/unit/test_mcp/test_settings.py
new file mode 100644
index 00000000..cf4b8800
--- /dev/null
+++ b/tests/unit/test_mcp/test_settings.py
@@ -0,0 +1,45 @@
+from pydantic_settings import BaseSettings
+
+from redisvl.mcp.settings import MCPSettings
+
+
+def test_settings_reads_env_defaults(monkeypatch):
+    monkeypatch.setenv("REDISVL_MCP_CONFIG", "/tmp/mcp.yaml")
+    monkeypatch.setenv("REDISVL_MCP_READ_ONLY", "true")
+    monkeypatch.setenv("REDISVL_MCP_TOOL_SEARCH_DESCRIPTION", "search docs")
+    monkeypatch.setenv("REDISVL_MCP_TOOL_UPSERT_DESCRIPTION", "upsert docs")
+
+    settings = MCPSettings()
+
+    assert settings.config == "/tmp/mcp.yaml"
+    assert settings.read_only is True
+    assert settings.tool_search_description == "search docs"
+    assert settings.tool_upsert_description == "upsert docs"
+
+
+def test_settings_explicit_values_override_env(monkeypatch):
+    monkeypatch.setenv("REDISVL_MCP_CONFIG", "/tmp/from-env.yaml")
+    monkeypatch.setenv("REDISVL_MCP_READ_ONLY", "true")
+
+    settings = MCPSettings.from_env(
+        config="/tmp/from-arg.yaml",
+        read_only=False,
+    )
+
+    assert settings.config == "/tmp/from-arg.yaml"
+    assert settings.read_only is False
+
+
+def test_settings_defaults_optional_descriptions(monkeypatch):
+    monkeypatch.delenv("REDISVL_MCP_TOOL_SEARCH_DESCRIPTION", raising=False)
+    monkeypatch.delenv("REDISVL_MCP_TOOL_UPSERT_DESCRIPTION", raising=False)
+    monkeypatch.setenv("REDISVL_MCP_CONFIG", "/tmp/mcp.yaml")
+
+    settings = MCPSettings.from_env()
+
+    assert settings.tool_search_description is None
+    assert settings.tool_upsert_description is None
+
+
+def test_settings_uses_pydantic_base_settings():
+    assert issubclass(MCPSettings, BaseSettings)
diff --git a/uv.lock b/uv.lock
index d7ff8293..8b3cc650 100644
--- a/uv.lock
+++ b/uv.lock
@@ -22,6 +22,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/8d/3f/95338030883d8c8b91223b4e21744b04d11b161a3ef117295d8241f50ab4/accessible_pygments-0.0.5-py3-none-any.whl", hash = "sha256:88ae3211e68a1d0b011504b2ffc1691feafce124b845bd072ab6f9f66f34d4b7", size = 1395903, upload-time = "2024-05-10T11:23:08.421Z" },
 ]
 
+[[package]]
+name = "aiofile"
+version = "3.9.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "caio", marker = "python_full_version >= '3.10'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/67/e2/d7cb819de8df6b5c1968a2756c3cb4122d4fa2b8fc768b53b7c9e5edb646/aiofile-3.9.0.tar.gz", hash = "sha256:e5ad718bb148b265b6df1b3752c4d1d83024b93da9bd599df74b9d9ffcf7919b", size = 17943, upload-time = "2024-10-08T10:39:35.846Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/50/25/da1f0b4dd970e52bf5a36c204c107e11a0c6d3ed195eba0bfbc664c312b2/aiofile-3.9.0-py3-none-any.whl", hash = "sha256:ce2f6c1571538cbdfa0143b04e16b208ecb0e9cb4148e528af8a640ed51cc8aa", size = 19539, upload-time = "2024-10-08T10:39:32.955Z" },
+]
+
 [[package]]
 name = "aiohappyeyeballs"
 version = "2.6.1"
@@ -271,6 +283,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/3a/2a/7cc015f5b9f5db42b7d48157e23356022889fc354a2813c15934b7cb5c0e/attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373", size = 67615, upload-time = "2025-10-06T13:54:43.17Z" },
 ]
 
+[[package]]
+name = "authlib"
+version = "1.6.9"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cryptography", marker = "python_full_version >= '3.10'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/af/98/00d3dd826d46959ad8e32af2dbb2398868fd9fd0683c26e56d0789bd0e68/authlib-1.6.9.tar.gz", hash = "sha256:d8f2421e7e5980cc1ddb4e32d3f5fa659cfaf60d8eaf3281ebed192e4ab74f04", size = 165134, upload-time = "2026-03-02T07:44:01.998Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/53/23/b65f568ed0c22f1efacb744d2db1a33c8068f384b8c9b482b52ebdbc3ef6/authlib-1.6.9-py2.py3-none-any.whl", hash = "sha256:f08b4c14e08f0861dc18a32357b33fbcfd2ea86cfe3fe149484b4d764c4a0ac3", size = 244197, upload-time = "2026-03-02T07:44:00.307Z" },
+]
+
 [[package]]
 name = "babel"
 version = "2.17.0"
@@ -280,6 +304,24 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/b7/b8/3fe70c75fe32afc4bb507f75563d39bc5642255d1d94f1f23604725780bf/babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2", size = 10182537, upload-time = "2025-02-01T15:17:37.39Z" },
 ]
 
+[[package]]
+name = "backports-tarfile"
+version = "1.2.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/86/72/cd9b395f25e290e633655a100af28cb253e4393396264a98bd5f5951d50f/backports_tarfile-1.2.0.tar.gz", hash = "sha256:d75e02c268746e1b8144c278978b6e98e85de6ad16f8e4b0844a154557eca991", size = 86406, upload-time = "2024-05-28T17:01:54.731Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b9/fa/123043af240e49752f1c4bd24da5053b6bd00cad78c2be53c0d1e8b975bc/backports.tarfile-1.2.0-py3-none-any.whl", hash = "sha256:77e284d754527b01fb1e6fa8a1afe577858ebe4e9dad8919e34c862cb399bc34", size = 30181, upload-time = "2024-05-28T17:01:53.112Z" },
+]
+
+[[package]]
+name = "beartype"
+version = "0.22.9"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/c7/94/1009e248bbfbab11397abca7193bea6626806be9a327d399810d523a07cb/beartype-0.22.9.tar.gz", hash = "sha256:8f82b54aa723a2848a56008d18875f91c1db02c32ef6a62319a002e3e25a975f", size = 1608866, upload-time = "2025-12-13T06:50:30.72Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/71/cc/18245721fa7747065ab478316c7fea7c74777d07f37ae60db2e84f8172e8/beartype-0.22.9-py3-none-any.whl", hash = "sha256:d16c9bbc61ea14637596c5f6fbff2ee99cbe3573e46a716401734ef50c3060c2", size = 1333658, upload-time = "2025-12-13T06:50:28.266Z" },
+]
+
 [[package]]
 name = "beautifulsoup4"
 version = "4.14.2"
@@ -389,6 +431,35 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/96/c5/1e741d26306c42e2bf6ab740b2202872727e0f606033c9dd713f8b93f5a8/cachetools-6.2.1-py3-none-any.whl", hash = "sha256:09868944b6dde876dfd44e1d47e18484541eaf12f26f29b7af91b26cc892d701", size = 11280, upload-time = "2025-10-12T14:55:28.382Z" },
 ]
 
+[[package]]
+name = "caio"
+version = "0.9.25"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/92/88/b8527e1b00c1811db339a1df8bd1ae49d146fcea9d6a5c40e3a80aaeb38d/caio-0.9.25.tar.gz", hash = "sha256:16498e7f81d1d0f5a4c0ad3f2540e65fe25691376e0a5bd367f558067113ed10", size = 26781, upload-time = "2025-12-26T15:21:36.501Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/6a/80/ea4ead0c5d52a9828692e7df20f0eafe8d26e671ce4883a0a146bb91049e/caio-0.9.25-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ca6c8ecda611478b6016cb94d23fd3eb7124852b985bdec7ecaad9f3116b9619", size = 36836, upload-time = "2025-12-26T15:22:04.662Z" },
+    { url = "https://files.pythonhosted.org/packages/17/b9/36715c97c873649d1029001578f901b50250916295e3dddf20c865438865/caio-0.9.25-cp310-cp310-manylinux2010_x86_64.manylinux2014_x86_64.manylinux_2_12_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:db9b5681e4af8176159f0d6598e73b2279bb661e718c7ac23342c550bd78c241", size = 79695, upload-time = "2025-12-26T15:22:18.818Z" },
+    { url = "https://files.pythonhosted.org/packages/0b/ab/07080ecb1adb55a02cbd8ec0126aa8e43af343ffabb6a71125b42670e9a1/caio-0.9.25-cp310-cp310-manylinux_2_34_aarch64.whl", hash = "sha256:bf61d7d0c4fd10ffdd98ca47f7e8db4d7408e74649ffaf4bef40b029ada3c21b", size = 79457, upload-time = "2026-03-04T22:08:16.024Z" },
+    { url = "https://files.pythonhosted.org/packages/88/95/dd55757bb671eb4c376e006c04e83beb413486821f517792ea603ef216e9/caio-0.9.25-cp310-cp310-manylinux_2_34_x86_64.whl", hash = "sha256:ab52e5b643f8bbd64a0605d9412796cd3464cb8ca88593b13e95a0f0b10508ae", size = 77705, upload-time = "2026-03-04T22:08:17.202Z" },
+    { url = "https://files.pythonhosted.org/packages/ec/90/543f556fcfcfa270713eef906b6352ab048e1e557afec12925c991dc93c2/caio-0.9.25-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:d6956d9e4a27021c8bd6c9677f3a59eb1d820cc32d0343cea7961a03b1371965", size = 36839, upload-time = "2025-12-26T15:21:40.267Z" },
+    { url = "https://files.pythonhosted.org/packages/51/3b/36f3e8ec38dafe8de4831decd2e44c69303d2a3892d16ceda42afed44e1b/caio-0.9.25-cp311-cp311-manylinux2010_x86_64.manylinux2014_x86_64.manylinux_2_12_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:bf84bfa039f25ad91f4f52944452a5f6f405e8afab4d445450978cd6241d1478", size = 80255, upload-time = "2025-12-26T15:22:20.271Z" },
+    { url = "https://files.pythonhosted.org/packages/df/ce/65e64867d928e6aff1b4f0e12dba0ef6d5bf412c240dc1df9d421ac10573/caio-0.9.25-cp311-cp311-manylinux_2_34_aarch64.whl", hash = "sha256:ae3d62587332bce600f861a8de6256b1014d6485cfd25d68c15caf1611dd1f7c", size = 80052, upload-time = "2026-03-04T22:08:20.402Z" },
+    { url = "https://files.pythonhosted.org/packages/46/90/e278863c47e14ec58309aa2e38a45882fbe67b4cc29ec9bc8f65852d3e45/caio-0.9.25-cp311-cp311-manylinux_2_34_x86_64.whl", hash = "sha256:fc220b8533dcf0f238a6b1a4a937f92024c71e7b10b5a2dfc1c73604a25709bc", size = 78273, upload-time = "2026-03-04T22:08:21.368Z" },
+    { url = "https://files.pythonhosted.org/packages/d3/25/79c98ebe12df31548ba4eaf44db11b7cad6b3e7b4203718335620939083c/caio-0.9.25-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:fb7ff95af4c31ad3f03179149aab61097a71fd85e05f89b4786de0359dffd044", size = 36983, upload-time = "2025-12-26T15:21:36.075Z" },
+    { url = "https://files.pythonhosted.org/packages/a3/2b/21288691f16d479945968a0a4f2856818c1c5be56881d51d4dac9b255d26/caio-0.9.25-cp312-cp312-manylinux2010_x86_64.manylinux2014_x86_64.manylinux_2_12_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:97084e4e30dfa598449d874c4d8e0c8d5ea17d2f752ef5e48e150ff9d240cd64", size = 82012, upload-time = "2025-12-26T15:22:20.983Z" },
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+    { url = "https://files.pythonhosted.org/packages/d1/1c/0fe770b8ffc8362c48134d1592d653a81a3d8748d764bec33864db36319d/caio-0.9.25-cp312-cp312-manylinux_2_34_x86_64.whl", hash = "sha256:6bebf6f079f1341d19f7386db9b8b1f07e8cc15ae13bfdaff573371ba0575d69", size = 80200, upload-time = "2026-03-04T22:08:23.382Z" },
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+    { url = "https://files.pythonhosted.org/packages/69/ca/a08fdc7efdcc24e6a6131a93c85be1f204d41c58f474c42b0670af8c016b/caio-0.9.25-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:fab6078b9348e883c80a5e14b382e6ad6aabbc4429ca034e76e730cf464269db", size = 36978, upload-time = "2025-12-26T15:21:41.055Z" },
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+    { url = "https://files.pythonhosted.org/packages/87/a4/e534cf7d2d0e8d880e25dd61e8d921ffcfe15bd696734589826f5a2df727/caio-0.9.25-cp314-cp314-manylinux_2_34_aarch64.whl", hash = "sha256:628a630eb7fb22381dd8e3c8ab7f59e854b9c806639811fc3f4310c6bd711d79", size = 81565, upload-time = "2026-03-04T22:08:27.483Z" },
+    { url = "https://files.pythonhosted.org/packages/3f/ed/bf81aeac1d290017e5e5ac3e880fd56ee15e50a6d0353986799d1bc5cfd5/caio-0.9.25-cp314-cp314-manylinux_2_34_x86_64.whl", hash = "sha256:0ba16aa605ccb174665357fc729cf500679c2d94d5f1458a6f0d5ca48f2060a7", size = 80071, upload-time = "2026-03-04T22:08:28.751Z" },
+    { url = "https://files.pythonhosted.org/packages/86/93/1f76c8d1bafe3b0614e06b2195784a3765bbf7b0a067661af9e2dd47fc33/caio-0.9.25-py3-none-any.whl", hash = "sha256:06c0bb02d6b929119b1cfbe1ca403c768b2013a369e2db46bfa2a5761cf82e40", size = 19087, upload-time = "2025-12-26T15:22:00.221Z" },
+]
+
 [[package]]
 name = "certifi"
 version = "2025.10.5"
@@ -973,6 +1044,23 @@ wheels = [
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 ]
 
+[[package]]
+name = "cyclopts"
+version = "4.10.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "attrs", marker = "python_full_version >= '3.10'" },
+    { name = "docstring-parser", marker = "python_full_version >= '3.10'" },
+    { name = "rich", marker = "python_full_version >= '3.10'" },
+    { name = "rich-rst", marker = "python_full_version >= '3.10'" },
+    { name = "tomli", marker = "python_full_version == '3.10.*'" },
+    { name = "typing-extensions", marker = "python_full_version == '3.10.*'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/6c/c4/2ce2ca1451487dc7d59f09334c3fa1182c46cfcf0a2d5f19f9b26d53ac74/cyclopts-4.10.1.tar.gz", hash = "sha256:ad4e4bb90576412d32276b14a76f55d43353753d16217f2c3cd5bdceba7f15a0", size = 166623, upload-time = "2026-03-23T14:43:01.098Z" }
+wheels = [
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+]
+
 [[package]]
 name = "debugpy"
 version = "1.8.17"
@@ -1051,6 +1139,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/12/b3/231ffd4ab1fc9d679809f356cebee130ac7daa00d6d6f3206dd4fd137e9e/distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2", size = 20277, upload-time = "2023-12-24T09:54:30.421Z" },
 ]
 
+[[package]]
+name = "dnspython"
+version = "2.8.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/8c/8b/57666417c0f90f08bcafa776861060426765fdb422eb10212086fb811d26/dnspython-2.8.0.tar.gz", hash = "sha256:181d3c6996452cb1189c4046c61599b84a5a86e099562ffde77d26984ff26d0f", size = 368251, upload-time = "2025-09-07T18:58:00.022Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ba/5a/18ad964b0086c6e62e2e7500f7edc89e3faa45033c71c1893d34eed2b2de/dnspython-2.8.0-py3-none-any.whl", hash = "sha256:01d9bbc4a2d76bf0db7c1f729812ded6d912bd318d3b1cf81d30c0f845dbf3af", size = 331094, upload-time = "2025-09-07T18:57:58.071Z" },
+]
+
 [[package]]
 name = "docker"
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