mcp-server-milvus
Server Information
This webpage provides information about the Model Context Protocol (MCP) server designed for Milvus, a vector database. It details how to use the server, its prerequisites, supported applications (such as Claude Desktop and Cursor), configuration instructions for different running modes, available tools, troubleshooting tips, and environment variables. The MCP server facilitates integration between LLM applications and Milvus, enabling AI-powered functionalities within IDEs, chat interfaces, and custom AI workflows.
ā Key Points:
* The MCP server enables integration between LLM applications and Milvus.
* It supports two running modes: stdio (default) and SSE (Server-Sent Events).
* Supported applications include Claude Desktop and Cursor.
* Configuration details vary based on the chosen running mode.
* The server provides tools for search and query operations, collection management, and data operations.
* Environment variables include MILVUSURI, MILVUSTOKEN, and MILVUS_DB.
š Main Findings:
* The MCP server allows LLMs to access Milvus vector database functionality.
* Configuration for Claude Desktop and Cursor is explained for both stdio and SSE modes.
* Two distinct running modes are available, each with its configuration process.
* The server offers a suite of tools for managing and querying data within Milvus.
š Details:
* Prerequisites: Python 3.10+, a running Milvus instance, and uv.
* Running Modes:
* Stdio: Communicates via standard input/output.
* SSE: Utilizes HTTP Server-Sent Events, suitable for web apps.
* Configuration involves modifying the application's configuration file (e.g., claudedesktopconfig.json).
* Available tools span search and query operations, collection management, and data operations.
šÆ Conclusion:
The MCP server is a crucial component for enabling LLM applications to leverage Milvus' capabilities. The documentation provides comprehensive instructions for setup, configuration, and troubleshooting, catering to different use cases and supported applications.
Server Features
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 on a collection
milvus_query
Query collection using filter expressions
milvus_list_collections
List all collections in the database
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_collection_info
Lists detailed information like schema, properties, collection ID, and other metadata of a specific collection.
milvus_insert_data
Insert data into a collection
milvus_delete_entities
Delete entities from a collection based on filter expression
Provider Information
zilliztech
cloud Provider