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MCP Server for Milvus

@stephen37

Repository Homepage

Basic information

Category

Databases

Transports

stdio

Author

stephen37

About MCP Server for Milvus

Model Context Protocol Servers for Milvus

#mcp-server #milvus #llm-integration

MCP Server for Milvus config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-milvus-stephen37": {
      "command": "uv",
      "args": [
        "run",
        "src/mcp_server_milvus/server.py",
        "--milvus-uri",
        "http://localhost:19530"
      ]
    }
  }
}

MCP Server for Milvus tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Milvus?

MCP Server for Milvus provides access to the Milvus vector database through the Model Context Protocol. It enables LLM applications like Claude Desktop and Cursor to search, manage, and query vector data using natural language or programmed instructions.

How to use Milvus?

Run the server directly with uv via uv run src/mcp_server_milvus/server.py --milvus-uri http://localhost:19530. Configure it as an MCP server in Claude Desktop or Cursor by specifying the command and arguments. Alternatively, set environment variables MILVUS_URI, MILVUS_TOKEN, and MILVUS_DB.

Key features of Milvus

Full-text search on collections with drop ratio control
Vector similarity search (COSINE, L2, IP metrics)
Hybrid search combining vector and attribute filtering
Collection management: create, load, release, list, info
Data operations: insert, bulk insert, upsert, delete
Index creation and index info retrieval

Use cases of Milvus

Searching documents in a collection using natural language via Claude Desktop
Performing vector similarity searches for recommendation or retrieval systems
Managing Milvus collections and schemas directly from Cursor Composer
Inserting and updating data in Milvus through an AI assistant

Frequently asked questions

1

What are the prerequisites for using this server?

Python 3.10 or higher, a running Milvus instance, and `uv` installed.

2

How do I connect to a remote Milvus instance?

Pass the URI via the `--milvus-uri` argument or set the `MILVUS_URI` environment variable.

3

What if the MCP tools do not appear in Claude Desktop or Cursor?

Restart the application after configuring the MCP server; also try pressing the refresh button in Cursor’s MCP settings.

4

How do I handle authentication with Milvus?

Set the `MILVUS_TOKEN` environment variable with your authentication token.

5

What transport does the server use?

It uses stdio transport, as shown in the Cursor configuration with “Type: stdio”.

Comments

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