Shyamkadiwar/MongoDB-MCP-Server

MongoDB MCP Server

A Model Context Protocol (MCP) server that provides MongoDB database operations through a standardized interface. This server allows AI assistants and other MCP clients to interact with MongoDB databases using natural language commands.

What is MCP?

The Model Context Protocol (MCP) is a standardized way for AI assistants to interact with external tools and data sources. This MongoDB MCP server acts as a bridge between AI models and MongoDB databases, enabling secure and controlled database operations.

Features

• Document Operations: Find, insert, update, and delete documents
• Aggregation Pipeline: Run complex MongoDB aggregation queries
• Collection Management: List collections and get collection statistics
• Document Counting: Count documents with optional filtering
• Flexible Querying: Support for filters, sorting, and limiting results

Available Tools

1. find_documents

Find documents in a MongoDB collection with optional filtering, sorting, and limiting.

Parameters:

• collection (required): Collection name
• filter (optional): MongoDB filter query (default: {})
• limit (optional): Maximum number of documents to return (default: 10)
• sort (optional): Sort criteria (default: {})

2. count_documents

Count documents in a collection with optional filtering.

Parameters:

• collection (required): Collection name
• filter (optional): MongoDB filter query (default: {})

3. insert_document

Insert a single document into a collection.

Parameters:

• collection (required): Collection name
• document (required): Document to insert

4. update_documents

Update multiple documents in a collection.

Parameters:

• collection (required): Collection name
• filter (required): MongoDB filter query
• update (required): Update operations
• upsert (optional): Create document if not found (default: false)

5. delete_documents

Delete multiple documents from a collection.

Parameters:

• collection (required): Collection name
• filter (required): MongoDB filter query

6. aggregate

Run aggregation pipeline on a collection.

Parameters:

• collection (required): Collection name
• pipeline (required): Array of aggregation pipeline stages

7. list_collections

List all collections in the database.

Parameters: None

8. get_collection_stats

Get statistics for a specific collection.

Parameters:

• collection (required): Collection name