Bump version: 1.1.17 → 1.1.18

Author: Knucklessg1

.bumpversion.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 1.1.17
+current_version = 1.1.18
 commit = True
 tag = True
 

Dockerfile

@@ -54,6 +54,6 @@ ENV HOST=${HOST} \
 RUN apt-get update \
     && apt-get install -y curl nano libpq-dev \
     && curl -LsSf https://astral.sh/uv/install.sh | sh \
-    && uv pip install --system --upgrade --verbose --no-cache --break-system-packages --prerelease=allow vector-mcp[postgres,chromadb,couchbase,qdrant,mongodb,a2a]>=1.1.17
+    && uv pip install --system --upgrade --verbose --no-cache --break-system-packages --prerelease=allow vector-mcp[postgres,chromadb,couchbase,qdrant,mongodb,a2a]>=1.1.18
 
 CMD ["vector-mcp"]

README.md

@@ -21,7 +21,7 @@
 ![PyPI - Wheel](https://img.shields.io/pypi/wheel/vector-mcp)
 ![PyPI - Implementation](https://img.shields.io/pypi/implementation/vector-mcp)
 
-*Version: 1.1.17*
+*Version: 1.1.18*
 
 ## Overview
 

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "vector-mcp"
-version = "1.1.17"
+version = "1.1.18"
 description = "Integrate RAG into AI Agents via MCP Server. Supports multiple Vector database technologies."
 readme = "README.md"
 authors = [{ name = "Audel Rouhi", email = "knucklessg1@gmail.com" }]

vector_mcp/vector_agent.py

@@ -41,7 +41,7 @@ class AgentState(BaseModel):
 from pydantic_ai.ui import SSE_CONTENT_TYPE
 from pydantic_ai.ui.ag_ui import AGUIAdapter
 
-__version__ = "1.1.17"
+__version__ = "1.1.18"
 
 logging.basicConfig(
     level=logging.INFO,
@@ -89,6 +89,12 @@ class AgentState(BaseModel):
     "CRITICAL RULE: \n"
     "1. List all available collections using`list_collections` to discover which knowledge base collections exist.\n"
     "2. Select the most relevant collection (or collections) from the list.\n"
+    "   - `decisions`: For storing key decisions made.\n"
+    "   - `user`: For storing user preferences and information.\n"
+    "   - `myself`: For storing agent's self-reflection, identity, or learnings.\n"
+    "   - `knowledge`: For general knowledge base.\n"
+    "   - `tasks`: For tracking tasks and project status.\n"
+    "   - `patterns`: For reusable patterns and coding standards.\n"
     "- If no specific collection is mentioned in the question, default to the memory collection.\n"
     '- If the question implies a domain (e.g., "ag-ui", "pydantic", "debug"), infer the most relevant collection from the context.\n'
     "3. Perform a hybrid search using the `search` tool with the selected collection(s) to retrieve relevant information.\n"

vector_mcp/vector_mcp.py

@@ -26,7 +26,7 @@
 from vector_mcp.utils import to_integer, to_boolean
 from vector_mcp.middlewares import UserTokenMiddleware, JWTClaimsLoggingMiddleware
 
-__version__ = "1.1.17"
+__version__ = "1.1.18"
 
 logging.basicConfig(
     level=logging.DEBUG, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
@@ -52,6 +52,7 @@
 DEFAULT_TRANSPORT = os.environ.get("TRANSPORT", "stdio")
 DEFAULT_HOST = os.environ.get("HOST", "0.0.0.0")
 DEFAULT_PORT = to_integer(os.environ.get("PORT", "8000"))
+DEFAULT_SSL_VERIFY = to_boolean(os.environ.get("SSL_VERIFY", "False"))
 DEFAULT_DB_HOST = os.environ.get("DB_HOST", None)
 DEFAULT_DB_PORT = os.environ.get("DB_PORT", None)
 DEFAULT_DATABASE_TYPE = os.environ.get("DATABASE_TYPE", "chromadb").lower()
@@ -77,6 +78,43 @@
 logger.info(f"Global chunk size set to: {chunk_size}")
 
 
+DEFAULT_COLLECTIONS = [
+    "decisions",
+    "user",
+    "myself",
+    "knowledge",
+    "tasks",
+    "patterns",
+]
+
+
+def create_default_collections(
+    db_type: str = DEFAULT_DATABASE_TYPE,
+    db_path: str = DEFAULT_DATABASE_PATH,
+    host: Optional[str] = DEFAULT_DB_HOST,
+    port: Optional[str] = DEFAULT_DB_PORT,
+    db_name: Optional[str] = DEFAULT_DBNAME,
+    username: Optional[str] = DEFAULT_USERNAME,
+    password: Optional[str] = DEFAULT_PASSWORD,
+):
+    for collection in DEFAULT_COLLECTIONS:
+        try:
+            initialize_retriever(
+                db_type=db_type,
+                db_path=db_path,
+                host=host,
+                port=port,
+                db_name=db_name,
+                username=username,
+                password=password,
+                collection_name=collection,
+                ensure_collection_exists=True,
+            )
+            logger.info(f"Ensured default collection exists: {collection}")
+        except Exception as e:
+            logger.error(f"Failed to create default collection {collection}: {e}")
+
+
 def initialize_retriever(
     db_type: str = DEFAULT_DATABASE_TYPE,
     db_path: str = DEFAULT_DATABASE_PATH,
@@ -1453,6 +1491,8 @@ def vector_mcp():
     for mw in middlewares:
         mcp.add_middleware(mw)
 
+    create_default_collections()
+
     print("\nStarting Vector MCP Server")
     print(f"  Transport: {args.transport.upper()}")
     print(f"  Auth: {args.auth_type}")