MCP Server for Milvus
@zilliztech
About MCP Server for Milvus
Model Context Protocol Servers for Milvus
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-milvus": {
"command": "uv",
"args": [
"run",
"src/mcp_server_milvus/server.py",
"--milvus-uri",
"http://localhost:19530"
]
}
}
}Tools
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Overview
What is MCP Server for Milvus?
The MCP Server for Milvus is a Model Context Protocol (MCP) server that provides access to Milvus vector database functionality. It enables LLM applications like Claude Desktop, Cursor, and custom MCP clients to interact with Milvus for vector search, text search, and collection management.
How to use MCP Server for Milvus?
Run the server with uv and a running Milvus instance: uv run src/mcp_server_milvus/server.py --milvus-uri http://localhost:19530. Alternatively, set environment variables in a .env file in src/mcp_server_milvus/. The server supports three communication modes: stdio (default), SSE, and Streamable HTTP, selectable via command-line flags.
Key features of MCP Server for Milvus
- Provides full-text, vector, hybrid, and similarity search tools
- Allows querying collections with filter expressions
- Supports creating collections with quick or custom schema
- Lists all collections in the database
- Works with Claude Desktop and Cursor via MCP
- Offers stdio, SSE, and Streamable HTTP transport modes
Use cases of MCP Server for Milvus
- AI-powered code editors performing semantic code search in a vector database
- Chat interfaces retrieving relevant documents via hybrid search
- Custom AI workflows that query and manage vector collections
- Automated collection creation and schema setup for new projects
FAQ from MCP Server for Milvus
What are the transport modes and how do they differ?
Stdio mode communicates over standard input/output (default). SSE mode uses HTTP Server-Sent Events for multiple clients. Streamable HTTP mode provides HTTP with streaming support, recommended for production, and optionally supports stateless operation.
What prerequisites are required to run this server?
Python 3.10 or higher, a running Milvus instance (local or remote), and uv (recommended) installed. No additional server dependencies are required beyond those.
What Milvus version is required?
The server works with any standard Milvus instance. Note that the milvus_text_similarity_search tool requires Milvus 2.6.0 or above and an embedding function configured on the server.
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