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Claude-Compatible Milvus MCP Server

@TerrysPOV

代码仓库

基本信息

分类

数据库

传输方式

stdio

作者

TerrysPOV

关于 Claude-Compatible Milvus MCP Server

暂无概览

#milvus#mcp#server#claude#vector-database

Claude-Compatible Milvus MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Claude-Compatible Milvus MCP Server 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

1

What does this server do?

It enables Claude Desktop to interact with a Milvus vector database through MCP tools.

2

What are the prerequisites?

Docker, uv (Python package manager), and a Claude Desktop installation.

3

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.

4

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.

5

What next steps are planned?

Adding more tools (delete_collection, upsert), test scripts, and GitHub Actions validation.

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