furey/mongodb-lens
by Various
ππ MongoDB Lens: Full Featured MCP Server for MongoDB Databases
MCP
furey/mongodb-lens
Added 1 June 2026
Overview
An open-source MCP server written in JavaScript that provides a full-featured interface for AI assistants to interact with MongoDB databases. It enables natural language queries, schema inspection, and data manipulation through the Model Context Protocol.
Best for
Best for
Developers and data analysts who want to interact with MongoDB using conversational AI assistants
Use cases
- Query MongoDB collections using natural language from an MCP-compatible AI tool
- Explore database schemas and document structures without writing raw MongoDB queries
- Perform CRUD operations on MongoDB through an AI assistant's chat interface
Notes
An open-source MCP server written in JavaScript that provides a full-featured interface for AI assistants to interact with MongoDB databases. It enables natural language queries, schema inspection, and data manipulation through the Model Context Protocol.
203 stars on GitHub. Last updated 2025-04-23. Licensed MIT.
Use cases
- Query MongoDB collections using natural language from an MCP-compatible AI tool
- Explore database schemas and document structures without writing raw MongoDB queries
- Perform CRUD operations on MongoDB through an AI assistantβs chat interface
Pros
- Simplifies MongoDB interaction for non-expert users by abstracting query syntax
- Open-source with active community (203 stars) and clear documentation
- Supports a wide range of MongoDB features including find, aggregate, insert, update, and delete
Cons
- Requires an MCP-compatible AI client (e.g., Claude Desktop) to function
- Limited to MongoDB databases; not usable with other NoSQL or SQL systems
- Performance depends on network latency and server setup due to its client-server architecture
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Simplifies MongoDB interaction for non-expert users by abstracting query syntax
- Open-source with active community (203 stars) and clear documentation
- Supports a wide range of MongoDB features including find, aggregate, insert, update, and delete
Cons
- Requires an MCP-compatible AI client (e.g., Claude Desktop) to function
- Limited to MongoDB databases; not usable with other NoSQL or SQL systems
- Performance depends on network latency and server setup due to its client-server architecture
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