Database · Developer Tools

MCP Server Milvus logo

MCP Server Milvus

stephen37/mcp-server-milvus

The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.

Install

Client configuration

{
  "mcpServers": {
    "milvus": {
      "command": "/PATH/TO/uv",
      "args": [
        "--directory",
        "/path/to/mcp-server-milvus/src/mcp_server_milvus",
        "run",
        "server.py",
        "--milvus-uri",
        "http://localhost:19530"
      ]
    }
  }
}
GitHub stars
6
Category
Database, Developer Tools
Updated
Oct 6, 2026

About MCP Server Milvus

This repository contains a MCP server that provides access to Milvus vector database functionality.

Tools (20)

  • milvus-text-search

    Search for documents using full text search

  • milvus-vector-search

    Perform vector similarity search on a collection

  • milvus-hybrid-search

    Perform hybrid search combining vector similarity and attribute filtering

  • milvus-multi-vector-search

    Perform vector similarity search with multiple query vectors

  • milvus-query

    Query collection using filter expressions

  • milvus-count

    Count entities in a collection

  • milvus-collection-info

    Get detailed information about a collection

  • milvus-get-collection-stats

    Get statistics about a collection

  • milvus-create-collection

    Create a new collection with specified schema

  • milvus-load-collection

    Load a collection into memory for search and query

  • milvus-release-collection

    Release a collection from memory

  • milvus-get-query-segment-info

    Get information about query segments

  • milvus-get-collection-loading-progress

    Get the loading progress of a collection

  • milvus-insert-data

    Insert data into a collection

  • milvus-bulk-insert

    Insert data in batches for better performance

  • milvus-upsert-data

    Upsert data into a collection (insert or update if exists)

  • milvus-delete-entities

    Delete entities from a collection based on filter expression

  • milvus-create-dynamic-field

    Add a dynamic field to an existing collection

  • milvus-create-index

    Create an index on a vector field

  • milvus-get-index-info

    Get information about indexes in a collection

Details on this page are taken from the project's README. Open README

Supported clients

Clients mentioned in this server's README:

View all
Claude Desktop logo

Claude Desktop

Desktop · Freemium · Proprietary

Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.

WindowsMacOS
Cursor logo

Cursor

Desktop · Freemium · Proprietary

The first agentic IDE. The Cursor editor truly merges how developers and AI work together, delivering a magical coding experience.

WindowsMacOSLinux

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