mcp-mongo-server

MCP.Pizza Chef: kiliczsh

The mcp-mongo-server is a Model Context Protocol server designed to integrate MongoDB databases with large language models (LLMs). It allows LLMs to inspect collection schemas and perform MongoDB operations through a standardized, protocol-driven interface. Key features include intelligent ObjectId handling with configurable modes to automatically convert string IDs to MongoDB ObjectIds, enhancing seamless interaction. This server supports flexible querying and database manipulation, making it ideal for AI-powered applications requiring real-time, structured access to MongoDB data. It facilitates secure, observable, and scoped model interactions with MongoDB, compatible with various LLM providers like OpenAI, Claude, and Gemini.

Use This MCP server To

Query MongoDB collections via LLMs Inspect MongoDB collection schemas dynamically Execute CRUD operations on MongoDB through AI Convert string IDs to ObjectId automatically Integrate MongoDB data into AI workflows Enable real-time MongoDB data access for agents Support AI-driven database management tasks

README

MCP MongoDB Server


NPM Version NPM Downloads NPM License smithery badge

A Model Context Protocol server that enables LLMs to interact with MongoDB databases. This server provides capabilities for inspecting collection schemas and executing MongoDB operations through a standardized interface.

Demo

MCP MongoDB Server Demo | Claude Desktop

Key Features

Smart ObjectId Handling

  • Intelligent conversion between string IDs and MongoDB ObjectId
  • Configurable with objectIdMode parameter:
    • "auto": Convert based on field names (default)
    • "none": No conversion
    • "force": Force all string ID fields to ObjectId

Flexible Configuration

  • Environment Variables:
    • MCP_MONGODB_URI: MongoDB connection URI
    • MCP_MONGODB_READONLY: Enable read-only mode when set to "true"
  • Command-line Options:
    • --read-only or -r: Connect in read-only mode

Read-Only Mode

  • Protection against write operations (update, insert, createIndex)
  • Uses MongoDB's secondary read preference for optimal performance
  • Ideal for safely connecting to production databases

MongoDB Operations

  • Read Operations:
    • Query documents with optional execution plan analysis
    • Execute aggregation pipelines
    • Count documents matching criteria
    • Get collection schema information
  • Write Operations (when not in read-only mode):
    • Update documents
    • Insert new documents
    • Create indexes

LLM Integration

  • Collection completions for enhanced LLM interaction
  • Schema inference for improved context understanding
  • Collection analysis for data insights

Installation

Global Installation

npm install -g mcp-mongo-server

For Development

# Clone repository
git clone https://github.com/kiliczsh/mcp-mongo-server.git
cd mcp-mongo-server

# Install dependencies
npm install

# Build
npm run build

# Development with auto-rebuild
npm run watch

Usage

Basic Usage

# Start server with MongoDB URI
npx -y mcp-mongo-server mongodb://muhammed:kilic@localhost:27017/database

# Connect in read-only mode
npx -y mcp-mongo-server mongodb://muhammed:kilic@localhost:27017/database --read-only

Environment Variables

You can configure the server using environment variables, which is particularly useful for CI/CD pipelines, Docker containers, or when you don't want to expose connection details in command arguments:

# Set MongoDB connection URI
export MCP_MONGODB_URI="mongodb://muhammed:kilic@localhost:27017/database"

# Enable read-only mode
export MCP_MONGODB_READONLY="true"

# Run server (will use environment variables if no URI is provided)
npx -y mcp-mongo-server

Using environment variables in Claude Desktop configuration:

{
  "mcpServers": {
    "mongodb-env": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-mongo-server"
      ],
      "env": {
        "MCP_MONGODB_URI": "mongodb://muhammed:kilic@localhost:27017/database",
        "MCP_MONGODB_READONLY": "true"
      }
    }
  }
}

Using environment variables with Docker:

# Build
docker build -t mcp-mongo-server .

# Run
docker run -it -d -e MCP_MONGODB_URI="mongodb://muhammed:kilic@localhost:27017/database" -e MCP_MONGODB_READONLY="true" mcp-mongo-server

# or edit docker-compose.yml and run
docker-compose up -d

Integration with Claude Desktop

Manual Configuration

Add the server configuration to Claude Desktop's config file:

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

Command-line Arguments Approach:

{
  "mcpServers": {
    "mongodb": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-mongo-server",
        "mongodb://muhammed:kilic@localhost:27017/database"
      ]
    },
    "mongodb-readonly": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-mongo-server",
        "mongodb://muhammed:kilic@localhost:27017/database",
        "--read-only"
      ]
    }
  }
}

Environment Variables Approach:

{
  "mcpServers": {
    "mongodb": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-mongo-server"
      ],
      "env": {
        "MCP_MONGODB_URI": "mongodb://muhammed:kilic@localhost:27017/database"
      }
    },
    "mongodb-readonly": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-mongo-server"
      ],
      "env": {
        "MCP_MONGODB_URI": "mongodb://muhammed:kilic@localhost:27017/database",
        "MCP_MONGODB_READONLY": "true"
      }
    }
  }
}

GitHub Package Usage:

{
  "mcpServers": {
    "mongodb": {
      "command": "npx",
      "args": [
        "-y",
        "github:kiliczsh/mcp-mongo-server",
        "mongodb://muhammed:kilic@localhost:27017/database"
      ]
    },
    "mongodb-readonly": {
      "command": "npx",
      "args": [
        "-y",
        "github:kiliczsh/mcp-mongo-server",
        "mongodb://muhammed:kilic@localhost:27017/database",
        "--read-only"
      ]
    }
  }
}

Integration with Windsurf and Cursor

The MCP MongoDB Server can be used with Windsurf and Cursor in a similar way to Claude Desktop.

Windsurf Configuration

Add the server to your Windsurf configuration:

{
  "mcpServers": {
    "mongodb": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-mongo-server",
        "mongodb://muhammed:kilic@localhost:27017/database"
      ]
    }
  }
}

Cursor Configuration

For Cursor, add the server configuration to your settings:

{
  "mcpServers": {
    "mongodb": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-mongo-server",
        "mongodb://muhammed:kilic@localhost:27017/database"
      ]
    }
  }
}

You can also use the environment variables approach with both Windsurf and Cursor, following the same pattern shown in the Claude Desktop configuration.

Automated Installation

Using Smithery:

npx -y @smithery/cli install mcp-mongo-server --client claude

Using mcp-get:

npx @michaellatman/mcp-get@latest install mcp-mongo-server

Available Tools

Query Operations

  • query: Execute MongoDB queries

    {
      collection: "users",
      filter: { age: { $gt: 30 } },
      projection: { name: 1, email: 1 },
      limit: 20,
      explain: "executionStats"  // Optional
    }
  • aggregate: Run aggregation pipelines

    {
      collection: "orders",
      pipeline: [
        { $match: { status: "completed" } },
        { $group: { _id: "$customerId", total: { $sum: "$amount" } } }
      ],
      explain: "queryPlanner"  // Optional
    }
  • count: Count matching documents

    {
      collection: "products",
      query: { category: "electronics" }
    }

Write Operations

  • update: Modify documents

    {
      collection: "posts",
      filter: { _id: "60d21b4667d0d8992e610c85" },
      update: { $set: { title: "Updated Title" } },
      upsert: false,
      multi: false
    }
  • insert: Add new documents

    {
      collection: "comments",
      documents: [
        { author: "user123", text: "Great post!" },
        { author: "user456", text: "Thanks for sharing" }
      ]
    }
  • createIndex: Create collection indexes

    {
      collection: "users",
      indexes: [
        {
          key: { email: 1 },
          unique: true,
          name: "email_unique_idx"
        }
      ]
    }

System Operations

  • serverInfo: Get MongoDB server details
    {
      includeDebugInfo: true  // Optional
    }

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. Use the MCP Inspector for better visibility:

npm run inspector

This will provide a URL to access the debugging tools in your browser.

Running evals

The evals package loads an mcp client that then runs the index.ts file, so there is no need to rebuild between tests. You can load environment variables by prefixing the npx command. Full documentation can be found here.

OPENAI_API_KEY=your-key  npx mcp-eval src/evals/evals.ts src/schemas/tools.ts

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

mcp-mongo-server FAQ

How does mcp-mongo-server handle MongoDB ObjectIds?
It offers configurable ObjectId handling modes—auto, none, and force—to intelligently convert string IDs to ObjectIds based on field names or force conversion.
Can mcp-mongo-server inspect MongoDB collection schemas?
Yes, it provides schema inspection capabilities to help LLMs understand the structure of collections before querying or updating data.
Is mcp-mongo-server compatible with multiple LLM providers?
Yes, it works with OpenAI, Claude, Gemini, and other LLMs supporting the Model Context Protocol.
How do I configure the objectIdMode parameter?
You can set objectIdMode to 'auto' for automatic conversion, 'none' to disable conversion, or 'force' to convert all string ID fields to ObjectId.
Does mcp-mongo-server support secure and scoped interactions?
Yes, it follows MCP principles to ensure secure, scoped, and observable interactions between LLMs and MongoDB.
Can I use mcp-mongo-server for real-time MongoDB data access?
Absolutely, it enables real-time querying and manipulation of MongoDB data within AI workflows.
What MongoDB operations can mcp-mongo-server perform?
It supports standard CRUD operations, allowing LLMs to create, read, update, and delete documents in MongoDB collections.
How do I get started with mcp-mongo-server?
You can install it via npm and configure it to connect to your MongoDB instance, then integrate it with your MCP client and LLM environment.