mongodb
Overview
The mongodb MCP server is a Model Context Protocol (MCP) server that enables AI assistants and agents to interact directly with MongoDB databases through a structured, AI-friendly interface. It allows AI-driven workflows to inspect collections, query documents, and reason about schema-less data without switching tools or embedding MongoDB-specific drivers in the client.
This server is especially useful for application development, data exploration, debugging, and analytics workflows where MongoDB is the primary data store.
Transport
stdio
Tools
Key Capabilities
- Document-based data access — Work with flexible, schema-less JSON-style documents.
- Powerful querying and aggregation — Execute filters, projections, and aggregation pipelines.
- Schema inspection — Reason about collection structure and field usage despite flexible schemas.
- Operational insight — Support AI-assisted debugging and data validation workflows.
- Developer productivity — Enable assistants to answer questions like “what data is stored here?” or “how is this collection used?”
How It Works
The mongodb MCP server runs as a local or containerized MCP service and connects to MongoDB using standard connection details such as URI, database name, and authentication credentials. AI clients communicate with the server over the MCP protocol to request data context or perform database operations as part of broader reasoning workflows.
The server mediates access to MongoDB’s query and aggregation APIs, handling authentication, request execution, and response normalization. Results are returned in structured formats that AI assistants can reason over directly, without requiring the client to manage MongoDB drivers or connection logic.
By exposing MongoDB through MCP, the server enables AI-driven workflows such as data exploration, troubleshooting, and application-aware reasoning — bringing document database context into the same AI-assisted environment used for code, APIs, and infrastructure.