概览
What is MongoDB MCP Server?
A Model Context Protocol (MCP) server implementation for MongoDB integration, providing standardized interaction with MongoDB databases. It supports operations on databases, collections, and documents with async/await patterns and error handling, and is built for use with AI assistants and MCP-compatible IDEs.
How to use MongoDB MCP Server?
Run with uvx mongodb-mcp-bridge (Python) or npx mongodb-mcp-bridge (Node.js); add --transport=sse for remote connections. Set the required MONGODB_URI environment variable and optionally MONGODB_DB and MCP_PORT. Docker support is available via docker build and docker run. Configure in VS Code, Cursor, or Windsurf using the provided JSON snippets.
Key features of MongoDB MCP Server
- Full MongoDB CRUD operations support
- Secure connection handling with MongoDB Atlas
- Async/await patterns for optimal performance
- Comprehensive error handling
- Docker support for easy deployment
- Query execution with proper type hints
Use cases of MongoDB MCP Server
- Quick connectivity test via the
pingtool - List all databases in a MongoDB instance
- Query documents in a collection with filters and limits
- Integrate MongoDB operations into AI assistant workflows
FAQ from MongoDB MCP Server
What runtime or dependencies are required?
Python with uvx or Node.js with npx; no additional manual installation of drivers is needed.
How does it connect and authenticate to MongoDB?
Authentication is handled via the MONGODB_URI environment variable, which contains the MongoDB connection string including credentials.
What transport does the server use?
By default it uses standard MCP transport; the --transport=sse flag enables SSE (Server-Sent Events) transport for remote connections.
Where does my data live?
All data remains in the connected MongoDB database. The server only executes queries and returns results; it does not store data locally.
What are the available operations?
The server provides ping, list_databases, and find_documents tools for connectivity testing, database enumeration, and filtered document queries.