@QuantGeekDev/mongo-mcp: MongoDB MCP Server for LLMs
MongoDB MCP Server for LLMs enables large language models to interact directly with MongoDB databases. It supports querying, schema inspection, document operations, and index management via natural language commands.
Author
QuantGeekDev
README
🗄️ MongoDB MCP Server for LLMS
A Model Context Protocol (MCP) server that enables LLMs to interact directly with MongoDB databases. Query collections, inspect schemas, and manage data seamlessly through natural language.
✨ Features
- 🔍 Collection schema inspection
- 📊 Document querying and filtering
- 📈 Index management
- 📝 Document operations (insert, update, delete)
Demo Video
https://github.com/user-attachments/assets/2389bf23-a10d-49f9-bca9-2b39a1ebe654
🚀 Quick Start
To get started, find your mongodb connection url and add this configuration to your Claude Desktop config file:
MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json
json{ "mcpServers": { "mongodb": { "command": "npx", "args": [ "mongo-mcp", "mongodb://<username>:<password>@<host>:<port>/<database>?authSource=admin" ] } } }
Installing via Smithery
To install MongoDB MCP Server for Claude Desktop automatically via Smithery:
bashnpx -y @smithery/cli install mongo-mcp --client claude
Prerequisites
- Node.js 18+
- npx
- Docker and Docker Compose (for local sandbox testing only)
- MCP Client (Claude Desktop App for example)
Test Sandbox Setup
If you don't have a mongo db server to connect to and want to create a sample sandbox, follow these steps
- Start MongoDB using Docker Compose:
bashdocker-compose up -d
- Seed the database with test data:
bashnpm run seed
Configure Claude Desktop
Add this configuration to your Claude Desktop config file:
MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json
Local Development Mode:
json{ "mcpServers": { "mongodb": { "command": "node", "args": [ "dist/index.js", "mongodb://root:example@localhost:27017/test?authSource=admin" ] } } }
Test Sandbox Data Structure
The seed script creates three collections with sample data:
Users
- Personal info (name, email, age)
- Nested address with coordinates
- Arrays of interests
- Membership dates
Products
- Product details (name, SKU, category)
- Nested specifications
- Price and inventory info
- Tags and ratings
Orders
- Order details with items
- User references
- Shipping and payment info
- Status tracking
🎯 Example Prompts
Try these prompts with Claude to explore the functionality:
Basic Operations
plaintext"What collections are available in the database?" "Show me the schema for the users collection" "Find all users in San Francisco"
Advanced Queries
plaintext"Find all electronics products that are in stock and cost less than $1000" "Show me all orders from the user john@example.com" "List the products with ratings above 4.5"
Index Management
plaintext"What indexes exist on the users collection?" "Create an index on the products collection for the 'category' field" "List all indexes across all collections"
Document Operations
plaintext"Insert a new product with name 'Gaming Laptop' in the products collection" "Update the status of order with ID X to 'shipped'" "Find and delete all products that are out of stock"
📝 Available Tools
The server provides these tools for database interaction:
Query Tools
find
: Query documents with filtering and projectionlistCollections
: List available collectionsinsertOne
: Insert a single documentupdateOne
: Update a single documentdeleteOne
: Delete a single document
Index Tools
createIndex
: Create a new indexdropIndex
: Remove an indexindexes
: List indexes for a collection
📜 License
This project is licensed under the MIT License - see the LICENSE file for details.