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MongoDB MCP Server

MongoDB MCP Server

Local
github.com/jonfreelandDatabases9Updated 51w ago

About MongoDB MCP Server

MongoDB MCP Server provides read-only tools and resources for AI assistants to explore and analyze MongoDB databases. It combines querying, aggregation, schema discovery, and data inspection while preventing write operations.

Key features

  1. 01List databases and collections
  2. 02Infer schemas from sample documents
  3. 03Filter, sort, and project query results
  4. 04Run validated read-only aggregation pipelines
  5. 05Search text and geospatial data
  6. 06Inspect statistics, indexes, and query plans

Use cases

  1. 01Explore database structure and collection fields
  2. 02Analyze data with queries and aggregations
  3. 03Inspect query plans and collection performance

MCP support

The MCP server exposes read-only MongoDB operations as standardized tools and resources for MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MongoDB MCP Server

A Model Context Protocol server that provides read-only access to MongoDB databases through standardized MCP tools and resources.

MongoDB Server MCP server

Overview

This MongoDB MCP server enables AI assistants to directly query and analyze MongoDB databases without write access, maintaining data safety while providing powerful data exploration capabilities.

Features

MongoDB Operations
  • Database Exploration: List databases and collections
  • Schema Discovery: Infer collection schemas from sample documents
  • Querying: Execute MongoDB queries with filtering, projection, sorting, and limiting
  • Aggregation: Run read-only aggregation pipelines with safety validation
  • Text Search: Perform full-text search on collections with text indexes
  • Geospatial Queries: Find locations near points, within polygons, or intersecting geometries
  • Document Operations: Count documents, sample random documents, find documents by IDs
  • Data Analysis: Get collection statistics, index information, and query execution plans
  • Performance Insights: Examine query execution plans to optimize performance
  • Data Exploration: Get distinct values, field distributions, and data samples
  • Format Conversion: Export query results as JSON or CSV formats
Enhanced Capabilities
  • Schema Inference: Automatically detect data types and structure from documents
  • Visualization Hints: Intelligent suggestions for data visualization based on result content
  • Safety Validation: Prevents write operations in aggregation pipelines
  • Example-Rich Documentation: Each tool includes detailed examples in its description

Requirements

Environment Variables
  • MONGODB_URI (required): MongoDB connection string with authentication if needed
  • MONGODB_DEFAULT_DATABASE (optional): Default database name when not specified in queries
Prerequisites
  • Network access to MongoDB server
  • Authentication credentials if required by MongoDB instance
  • Appropriate read permissions on target databases

Installation

Building from Source

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch
Integration with Claude Desktop

To use with Claude Desktop, add the server configuration:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "mongodb": {
      "command": "/path/to/mongodb-server/build/index.js",
      "env": {
        "MONGODB_URI": "mongodb://username:password@hostname:port/database",
        "MONGODB_DEFAULT_DATABASE": "your_default_db"
      }
    }
  }
}
Integration with Claude Web

For Claude Web via the MCP Chrome extension, add configuration to Cline MCP settings:

{
  "mcpServers": {
    "mongodb": {
      "command": "node",
      "args": ["/path/to/mongodb-server/build/index.js"],
      "env": {
        "MONGODB_URI": "mongodb://username:password@hostname:port/database",
        "MONGODB_DEFAULT_DATABASE": "your_default_db"
      }
    }
  }
}
Integration with Claude Code

To use with Claude Code, use the following commands:

cd /path/to/my/project
claude mcp add mongo-server /path/to/mongodb-mcp/build/index.js -e "MONGODB_URI=mongodb://user@password:27017/dbname?authSource=authDbName" -e MONGO_DEFAULT_DATABASE=dbname 

Make sure to replace the placeholders with your actual MongoDB connection string and default database name.

If configured correctly, you should see the following when you run claude:

╭───────────────────────────────────────────────────────╮
│ ✻ Welcome to Claude Code research preview!            │
│                                                       │
│   /help for help                                      │
│                                                       │
│   cwd: <path-to-project-directory>                    │
│                                                       │
│   ─────────────────────────────────────────────────── │
│                                                       │
│   MCP Servers:                                        │
│                                                       │
│   • mongo-server                            connected │
╰───────────────────────────────────────────────────────╯

If you run into issues, see the Claude Code documentation.

Security Considerations

  • This server provides read-only access by design
  • Connection strings may contain sensitive authentication information
  • Store connection strings securely in environment variables
  • Use a MongoDB user with read-only permissions

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. Use the MCP Inspector, which is available as a package script:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.