mcp-server-milvus
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The MCP Server for Milvus enables seamless integration between LLM applications and the Milvus vector database, providing a standardized way to connect LLMs with the context they need.
The Model Context Protocol (MCP) Server for Milvus is designed to facilitate the integration of large language models (LLMs) with the Milvus vector database. This server acts as a bridge, allowing LLM applications to access and manipulate data stored in Milvus, a popular open-source vector database. The server supports various operations such as vector similarity search, hybrid search, and collection management, making it a versatile tool for applications that require advanced data retrieval capabilities. It supports two communication modes: stdio and Server-Sent Events (SSE), catering to different application needs. The server can be easily integrated with applications like Claude Desktop and Cursor, which support the MCP protocol, enabling developers to build AI-powered applications with enhanced data access and manipulation capabilities.
Features
- Supports stdio and SSE communication modes for flexible integration.
- Provides tools for vector similarity search, hybrid search, and collection management.
- Easily integrates with LLM applications like Claude Desktop and Cursor.
- Allows configuration via environment variables or command line arguments.
- Supports debugging and inspection through the MCP Inspector tool.
Tools
milvus_text_search
Find documents using full text search
milvus_vector_search
Perform vector similarity search
milvus_query
Query collections using filter expressions
milvus_list_collections
List all collections
milvus_create_collection
Create a new collection
milvus_load_collection
Loading the collection into memory
milvus_release_collection
Free collection from memory
milvus_insert_data
Insert data into collection
milvus_delete_entities
Delete entity according to filter expression
