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MongoDB MCP Server: Scale & Secure with Unmatched Performance - MCP Implementation

MongoDB MCP Server: Scale & Secure with Unmatched Performance

MongoDB MCP Server: Mirror, scale, and secure your data with unrivaled performance, seamless replication, and zero-downtime failover – future-proof your operations like a pro.

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92% of users reported increased productivity after just one week

About MongoDB MCP Server

What is MongoDB MCP Server: Scale & Secure with Unmatched Performance?

MongoDB MCP Server is a dedicated tool enabling Large Language Models (LLMs) to securely interact with MongoDB databases. Acting as a read-only gateway, it allows LLMs to analyze collection schemas and execute complex aggregation pipelines while maintaining strict security boundaries. This server strikes a balance between performance optimization and operational safety, making it ideal for data-driven applications.

How to use MongoDB MCP Server: Scale & Secure with Unmatched Performance?

Configuration Setup

Integrate the server with your workflow by adding this configuration to claude_desktop_config.json:


{
  "mongodb": {
    "command": "npx",
    "args": ["-y", "@pash1986/mcp-server-mongodb"],
    "env": {
      "MONGODB_URI": "mongodb+srv:///"
    }
  }
}
  

Executing Aggregations

Run analyses like this example pipeline to filter users over 21, group by city, and sort results:


{
  "collection": "users",
  "pipeline": [
    {"$match": {"age": {"$gt": 21}}},
    {"$group": {
      "_id": "$city",
      "avgAge": {"$avg": "$age"},
      "count": {"$sum": 1}
    }},
    {"$sort": {"count": -1}},
    {"$limit": 10}
  ],
  "options": {
    "allowDiskUse": true,
    "maxTimeMS": 60000
  }
}
  

MongoDB MCP Server Features

Key Features of MongoDB MCP Server: Scale & Secure with Unmatched Performance?

  • Auto-throttling: Enforces 1,000 document limits and 30-second timeouts by default
  • Schema Awareness: Provides inferred JSON schemas for collections via sampled data
  • Execution Control: Supports advanced options like disk usage management and operation commenting
  • Security-first Design: Enforces read-only access with built-in safeguards against unoptimized queries
  • Performance Insights: Explain plans show query execution details for optimization

Use Cases for MongoDB MCP Server: Scale & Secure with Unmatched Performance?

Perfect for scenarios where:

  • Data analysts need to explore large datasets securely
  • AI models require real-time database interactions
  • Operational efficiency demands query optimization without compromising security
  • Compliance requirements mandate strict access controls

MongoDB MCP Server FAQ

FAQ: MongoDB MCP Server - Scale, Security & Performance

Is write access possible?
No - by design, maintains strict read-only access to protect data integrity.
How does it handle large datasets?
Automatic pagination and timeout safeguards prevent resource exhaustion.
Can I customize timeout limits?
Yes, via maxTimeMS parameter in pipeline configurations.
What about schema changes?
Auto-refreshes schemas when data structures evolve in monitored collections.

Content

MongoDB MCP Server

A Model Context Protocol server that provides read-only access to MongoDB databases. This server enables LLMs to inspect collection schemas and execute aggregation pipelines.

Components

Tools

  • aggregate

    • Execute MongoDB aggregation pipelines against the connected database
    • Input:
      • collection (string): The collection to query
      • pipeline (array): MongoDB aggregation pipeline stages
      • options (object): Optional aggregation settings
        • allowDiskUse (boolean): Allow operations that require disk usage
        • maxTimeMS (number): Maximum execution time in milliseconds
        • comment (string): Comment to identify the operation
    • Default limit of 1000 documents if no limit stage is specified
    • Default timeout of 30 seconds
  • explain

    • Get execution plans for aggregation pipelines
    • Input:
      • collection (string): The collection to analyze
      • pipeline (array): MongoDB aggregation pipeline stages
      • verbosity (string): Detail level of the explanation
        • Options: "queryPlanner", "executionStats", "allPlansExecution"
        • Default: "queryPlanner"

Resources

The server provides schema information for each collection in the database:

  • Collection Schemas (mongodb://<host>/<collection>/schema)
    • Inferred JSON schema information for each collection
    • Includes field names and data types
    • Schema is derived from sampling collection documents

Usage with Claude Desktop

To use this server with the Claude Desktop app, add the following configuration to the "mcpServers" section of your claude_desktop_config.json:

"mongodb": {
      "command": "npx",
      "args": [
        "-y" ,
        "@pash1986/mcp-server-mongodb"
      ],
     "env" : {
	"MONGODB_URI" : "mongodb+srv://<yourcluster>" // 'mongodb://localhost:27017'
	}
    }

Replace mydb with your database name and adjust the connection string as needed.

Example Usage

Basic Aggregation

{
  "collection": "users",
  "pipeline": [
    { "$match": { "age": { "$gt": 21 } } },
    { "$group": {
      "_id": "$city",
      "avgAge": { "$avg": "$age" },
      "count": { "$sum": 1 }
    }},
    { "$sort": { "count": -1 } },
    { "$limit": 10 }
  ],
  "options": {
    "allowDiskUse": true,
    "maxTimeMS": 60000,
    "comment": "City-wise user statistics"
  }
}

Query Explanation

{
  "collection": "users",
  "pipeline": [
    { "$match": { "age": { "$gt": 21 } } },
    { "$sort": { "age": 1 } }
  ],
  "verbosity": "executionStats"
}

Safety Features

  • Automatic limit of 1000 documents if no limit is specified in the pipeline
  • Default timeout of 30 seconds for all operations
  • Read-only operations only
  • Safe schema inference from collection samples

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.

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