Milvus MCP Server
Milvus vector database functionality integration for your AI workflows.
Data last scanned today · Reviewed today
Overview
The Milvus MCP Server provides a bridge between Model Context Protocol-enabled applications and your Milvus vector database instances. It allows AI assistants to interact with vector data directly, facilitating more context-aware responses by integrating your existing database infrastructure. The server supports both stdio and Server-Sent Events (SSE) communication modes, making it flexible for local integrations or web-based deployments. Users can configure connections via environment variables or command-line arguments to suit local or remote Milvus environments.
Our verdict
With a security score of 45/100, this server is classified as high risk. The rating reflects that the authentication methods and read-only mode support have not yet been reviewed, and the project is community-maintained rather than supported by the official vendor. Because of these unverified security boundaries, it is recommended for use in controlled development or testing environments only, rather than production systems where data access security is critical.
- Supports stdio and SSE transport modes.
- Zero direct dependencies reduce supply-chain surface area.
- Utilizes Apache-2.0 open-source licensing.
- Authentication mechanism has not been editorially reviewed.
- Read-only mode capability remains unverified.
- Operated by the community instead of the official vendor.
Tools
| Tool | Description | Risk |
|---|---|---|
| milvus_text_search | Search for documents using full text search | low |
| milvus_vector_search | Perform vector similarity search on a collection | low |
| milvus_hybrid_search | Perform hybrid search on a collection | low |
| milvus_text_similarity_search | Perform text similarity search on a collection | low |
| milvus_query | Query collection using filter expressions | low |
| milvus_list_collections | List all collections in the database | low |
| milvus_create_collection | Create a new collection with quick setup or customized schema | medium |
| milvus_load_collection | Load a collection into memory for search and query | medium |
| milvus_release_collection | Release a collection from memory | medium |
| milvus_get_collection_info | Lists detailed information like schema, properties, collection ID, and other metadata of a specific collection. | low |
Compatibility
| Client | Local | Docker | Remote | Read-only |
|---|---|---|---|---|
| ChatGPT | ||||
| Claude Desktop | ||||
| Cursor | ||||
| VS Code | ||||
| Windsurf |
Frequently asked questions
›What are the primary system requirements for this server?
You must have Python 3.10 or higher installed, a running Milvus instance available locally or remotely, and the uv package manager.
›Does the server prioritize environment variables or command-line arguments?
The .env file located in the src/mcp_server_milvus/ directory has a higher priority than arguments provided via the command line.
›What transport modes does the server support?
The server supports three communication modes: stdio (the default), Server-Sent Events (SSE) for web applications, and streamable HTTP for production deployments.
›How can I test the server while using SSE mode?
You can use the MCP Inspector by running the command 'mcp dev src/mcp_server_milvus/server.py' after starting your SSE service.
›What is the difference between standard streamable HTTP and stateless mode?
Stateless mode is an optional configuration for streamable HTTP that ensures no session persistence is maintained during operation.
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