Claude-Compatible Milvus MCP Server
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About Claude-Compatible Milvus MCP Server
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Config
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Overview
What is Claude-Compatible Milvus MCP Server?
It connects Anthropic's Claude (via Claude Desktop) to a Milvus vector database using the Model Context Protocol (MCP). Includes a FastMCP server, Milvus Docker setup, and a shell script for launching the server for Claude.
How to use Claude-Compatible Milvus MCP Server?
Clone the repo, start Milvus via Docker Compose in milvus-standalone/, install uv, sync Python environment in fastmcp/, test the server, then update Claude’s config (claude_desktop_config.json) with the path to run_milvus_server.sh. Restart Claude and ask it to call Milvus tools.
Key features of Claude-Compatible Milvus MCP Server
- Fully MCP-compatible FastMCP server for Milvus
- Milvus setup via Docker Compose
- Shell script to launch the server correctly for Claude
- Official Milvus tool names for Claude compatibility
- Uses OpenAI embeddings (text-embedding-ada-002)
Use cases of Claude-Compatible Milvus MCP Server
- List all collections in a Milvus database via Claude
- Create a new collection using natural language
- Search vector data with Claude’s assistance
FAQ from Claude-Compatible Milvus MCP Server
What does this server do?
It enables Claude Desktop to interact with a Milvus vector database through MCP tools.
What are the prerequisites?
Docker, uv (Python package manager), and a Claude Desktop installation.
How do I ensure tool names work?
Tools must exactly match Milvus naming conventions (e.g., create_collection, list_collections) and be case-sensitive. Do not rename.
How can I test the server?
Run the server script directly (uv run python milvus-server/server.py) or use the provided test scripts or Claude Desktop interface.
What next steps are planned?
Adding more tools (delete_collection, upsert), test scripts, and GitHub Actions validation.
Frequently asked questions
What does this server do?
It enables Claude Desktop to interact with a Milvus vector database through MCP tools.
What are the prerequisites?
Docker, uv (Python package manager), and a Claude Desktop installation.
How do I ensure tool names work?
Tools must exactly match Milvus naming conventions (e.g., `create_collection`, `list_collections`) and be case-sensitive. Do not rename.
How can I test the server?
Run the server script directly (`uv run python milvus-server/server.py`) or use the provided test scripts or Claude Desktop interface.
What next steps are planned?
Adding more tools (delete_collection, upsert), test scripts, and GitHub Actions validation.
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