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Milvus MCP ServerUnclaimed
Lets LLM apps search and query a Milvus vector database
- MCP Servers
- Open source
- MCP server
Overview
MCP Server for Milvus is an open source Model Context Protocol server that gives LLM applications access to a Milvus vector database. The Model Context Protocol is an open standard for connecting LLM applications to external data sources and tools, and this server exposes Milvus functionality through that standard.
The server provides tools for full text search, vector similarity search, hybrid search, text similarity search and filtered queries, along with collection management tools such as listing collections. Clients can connect to it in several ways: stdio mode, which is the default, SSE mode for multiple HTTP clients, and Streamable HTTP mode, which the page describes as suited to production deployments, with an optional stateless setting.
The page describes setup for Claude Desktop and Cursor. Each client is configured with a JSON file that points either to the server command run through uv, or to a URL where the server is running. Connection settings can be set with command line arguments or in a .env file, and the .env file takes priority over the command line.
Prerequisites are Python 3.10 or higher, a running Milvus instance, local or remote, and uv, which the page recommends for running the server. The code is licensed under Apache-2.0.
The server is aimed at developers building AI tools, IDE integrations, chat interfaces or custom AI workflows that need to retrieve context from a Milvus vector database.
- The problem it solves
- Connecting an LLM application to a Milvus vector database without writing custom integration code
- Who it's for
- Businesses (B2B)
Used for
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Pricing
- Model
- Open source
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