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Bump version: 1.1.28 → 1.1.29
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-27
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-27
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.bumpversion.cfg

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[bumpversion]
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current_version = 1.1.28
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current_version = 1.1.29
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commit = True
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tag = True
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Dockerfile

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@@ -54,6 +54,6 @@ ENV HOST=${HOST} \
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RUN apt-get update \
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&& apt-get install -y ripgrep tree fd-find curl nano libpq-dev \
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&& curl -LsSf https://astral.sh/uv/install.sh | sh \
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&& uv pip install --system --upgrade --verbose --no-cache --break-system-packages --prerelease=allow vector-mcp[postgres,chromadb,couchbase,qdrant,mongodb,huggingface,agent]>=1.1.28
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&& uv pip install --system --upgrade --verbose --no-cache --break-system-packages --prerelease=allow vector-mcp[postgres,chromadb,couchbase,qdrant,mongodb,huggingface,agent]>=1.1.29
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CMD ["vector-mcp"]

README.md

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@@ -21,7 +21,7 @@
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![PyPI - Wheel](https://img.shields.io/pypi/wheel/vector-mcp)
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![PyPI - Implementation](https://img.shields.io/pypi/implementation/vector-mcp)
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*Version: 1.1.28*
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*Version: 1.1.29*
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## Overview
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pyproject.toml

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@@ -4,15 +4,15 @@ build-backend = "setuptools.build_meta"
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[project]
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name = "vector-mcp"
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version = "1.1.28"
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version = "1.1.29"
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description = "Integrate RAG into AI Agents via MCP Server. Supports multiple Vector database technologies."
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readme = "README.md"
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authors = [{ name = "Audel Rouhi", email = "knucklessg1@gmail.com" }]
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license = { text = "MIT" }
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classifiers = [ "Development Status :: 5 - Production/Stable", "License :: Public Domain", "Environment :: Console", "Operating System :: POSIX :: Linux", "Programming Language :: Python :: 3",]
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requires-python = ">=3.10"
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dependencies = [
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"agent-utilities[embeddings-openai,mcp]>=0.2.10",
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"agent-utilities[embeddings-openai,mcp]>=0.2.11",
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"chromadb>=1.5.1",
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"markdownify>=1.2.2",
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"beautifulsoup4>=4.14.3",
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"sentence_transformers>=5.2.2",
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]
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agent = [
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"agent-utilities[agent,logfire]>=0.2.10",
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"agent-utilities[agent,logfire]>=0.2.11",
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]
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all = [
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"vector-mcp[postgres,chromadb,couchbase,qdrant,mongodb,huggingface,agent]>=1.1.28"
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"vector-mcp[postgres,chromadb,couchbase,qdrant,mongodb,huggingface,agent]>=1.1.29"
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]
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[project.scripts]

vector_mcp/agent.py

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@@ -5,16 +5,14 @@
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import logging
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from agent_utilities import (
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build_system_prompt_from_workspace,
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create_agent_parser,
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create_agent_server,
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initialize_workspace,
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load_identity,
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build_system_prompt_from_workspace,
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)
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from agent_utilities.agent_utilities import create_agent_parser
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from agent_utilities.base_utilities import to_integer, to_boolean
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from agent_utilities.agent_utilities import get_mcp_config_path
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__version__ = "1.1.28"
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__version__ = "1.1.29"
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logging.basicConfig(
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level=logging.INFO,
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"AGENT_SYSTEM_PROMPT", meta.get("content") or build_system_prompt_from_workspace()
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)
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DEFAULT_HOST = os.getenv("HOST", "0.0.0.0")
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DEFAULT_PORT = to_integer(os.getenv("PORT", "9000"))
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DEFAULT_DEBUG = to_boolean(os.getenv("DEBUG", "False"))
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DEFAULT_PROVIDER = os.getenv("PROVIDER", "openai")
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DEFAULT_MODEL_ID = os.getenv("MODEL_ID", "qwen/qwen3-coder-next")
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DEFAULT_LLM_BASE_URL = os.getenv("LLM_BASE_URL", "http://host.docker.internal:1234/v1")
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DEFAULT_LLM_API_KEY = os.getenv("LLM_API_KEY", "ollama")
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DEFAULT_MCP_URL = os.getenv("MCP_URL", None)
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DEFAULT_MCP_CONFIG = os.getenv("MCP_CONFIG", get_mcp_config_path())
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DEFAULT_CUSTOM_SKILLS_DIRECTORY = os.getenv("CUSTOM_SKILLS_DIRECTORY", None)
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DEFAULT_ENABLE_WEB_UI = to_boolean(os.getenv("ENABLE_WEB_UI", "False"))
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DEFAULT_ENABLE_OTEL = to_boolean(os.getenv("ENABLE_OTEL", "False"))
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DEFAULT_SSL_VERIFY = to_boolean(os.getenv("SSL_VERIFY", "True"))
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def agent_server():
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print(f"{DEFAULT_AGENT_NAME} v{__version__}")
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name=DEFAULT_AGENT_NAME,
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system_prompt=DEFAULT_AGENT_SYSTEM_PROMPT,
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enable_otel=args.otel,
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otel_endpoint=args.otel_endpoint,
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otel_headers=args.otel_headers,
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otel_public_key=args.otel_public_key,
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otel_secret_key=args.otel_secret_key,
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otel_protocol=args.otel_protocol,
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)
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vector_mcp/mcp.py

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)
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from vector_mcp.retriever.retriever import RAGRetriever
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__version__ = "1.1.28"
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__version__ = "1.1.29"
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logging.basicConfig(
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level=logging.DEBUG, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"

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