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MongoDB MCP Server

@syedasad-kiwi

Repository

Basic information

Category

Databases

License

MIT license

Transports

stdio

Author

syedasad-kiwi

About MongoDB MCP Server

A powerful Model Context Protocol (MCP) server implementation for MongoDB integration

MongoDB MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mongodb-mcp-bridge": {
      "command": "uvx",
      "args": [
        "mongodb-mcp-bridge"
      ]
    }
  }
}

MongoDB MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

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 ping tool
  • List all databases in a MongoDB instance
  • Query documents in a collection with filters and limits
  • Integrate MongoDB operations into AI assistant workflows

Frequently asked questions

1

What runtime or dependencies are required?

Python with `uvx` or Node.js with `npx`; no additional manual installation of drivers is needed.

2

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.

3

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.

4

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.

5

What are the available operations?

The server provides `ping`, `list_databases`, and `find_documents` tools for connectivity testing, database enumeration, and filtered document queries.

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