MCP Server For Milvus
M

MCP Server For Milvus

This project is a server - side implementation based on the Model Context Protocol (MCP), providing seamless integration with the Milvus vector database and enabling multiple LLM applications such as Claude Desktop and Cursor to access database functions through a standardized protocol.
3 points
8.8K

What is the MCP Server (Milvus Version)?

The MCP Server (Milvus Version) is an open - source tool that connects large language model applications with the Milvus vector database through the Model Context Protocol. It allows you to easily add vector search and text retrieval capabilities to your applications.

How to use the MCP Server (Milvus Version)?

Simply install Python and the Milvus database, and run the server to start using it. It supports various application scenarios, such as code editors, chatbots, and custom workflows.

Applicable Scenarios

Suitable for scenarios that require efficient vector search and text retrieval, such as intelligent question - answering systems, knowledge graph construction, and multimodal data analysis.

Main Features

Vector Similarity Search
Achieve efficient similarity matching through vector embeddings, suitable for image, audio, and text data.
Full - Text Search
Support fast and accurate full - text search on text fields to meet complex query requirements.
Collection Management
Create, load, release, and delete Milvus collections to facilitate user data management and maintenance.
Data Insertion and Deletion
Support batch data insertion and conditional filtering deletion operations.
Advantages
Seamlessly integrate into existing LLM applications
High - performance vector calculation and retrieval
Support clients in multiple programming languages
Easy to deploy and scale
Limitations
Dependent on an external Milvus database instance
Require certain system resources to run the service
Some advanced features may require additional configuration

How to Use

Install Dependencies
Ensure that Python 3.10 or a higher version and the Milvus database are installed.
Start the Server
Run the MCP server and specify the Milvus database address.
Configure the Client
Configure the MCP server address according to the application you are using (such as Claude Desktop or Cursor).

Usage Examples

Case Title: List Collections
Query all collections in the current Milvus database.
Case Title: Text Search
Search for documents containing specific keywords in a collection.

Frequently Asked Questions

How to check if the MCP server is working properly?
What should I do if I encounter a connection failure?
What types of queries are supported?

Related Resources

Official Documentation
Get more detailed information about the MCP server.
Milvus Official Website
Learn the basics of the Milvus vector database.
Zilliz Community Discord
Join the community discussion and get technical support.

Installation

Copy the following command to your Client for 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"
      ]
    }
  }
}

{
     "mcpServers": {
       "milvus": {
         "command": "/PATH/TO/uv",
         "args": [
           "--directory",
           "/path/to/mcp-server-milvus/src/mcp_server_milvus",
           "run",
           "server.py",
           "--milvus-uri",
           "http://127.0.0.1:19530"
         ]
       }
     }
   }
Note: Your key is sensitive information, do not share it with anyone.

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