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Bump version: 1.1.16 → 1.1.17
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.bumpversion.cfg

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[bumpversion]
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current_version = 1.1.16
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current_version = 1.1.17
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commit = True
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tag = True
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Dockerfile

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RUN apt-get update \
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&& apt-get install -y 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,a2a]>=1.1.16
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&& uv pip install --system --upgrade --verbose --no-cache --break-system-packages --prerelease=allow vector-mcp[postgres,chromadb,couchbase,qdrant,mongodb,a2a]>=1.1.17
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CMD ["vector-mcp"]

README.md

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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: 1.1.16*
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*Version: 1.1.17*
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## Overview
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pyproject.toml

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[project]
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name = "vector-mcp"
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version = "1.1.16"
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version = "1.1.17"
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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" }]

vector_mcp/vector_agent.py

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from pydantic_ai.ui import SSE_CONTENT_TYPE
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from pydantic_ai.ui.ag_ui import AGUIAdapter
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__version__ = "1.1.16"
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__version__ = "1.1.17"
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logging.basicConfig(
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level=logging.INFO,

vector_mcp/vector_mcp.py

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from vector_mcp.utils import to_integer, to_boolean
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from vector_mcp.middlewares import UserTokenMiddleware, JWTClaimsLoggingMiddleware
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__version__ = "1.1.16"
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__version__ = "1.1.17"
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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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