MongoDB MCP Server
Officialby MongoDB
Ask Claude to query your MongoDB collections, build aggregation pipelines, and manage Atlas clusters -- all from a single prompt. The MongoDB MCP Server turns your AI assistant into a full-fledged database operator that reads, writes, and analyzes your data without you ever opening mongosh or Compass. The server exposes over 20 database tools covering the complete MongoDB workflow: run find and aggregate queries, insert and update documents, create and drop collections, manage indexes, and inspect collection schemas and statistics. On the Atlas side, it handles cluster provisioning, database user management, IP access list configuration, and performance advisor recommendations. Need to figure out why a query is slow? Ask Claude to pull the performance advisor data and suggest index optimizations -- it has direct access. A built-in read-only mode makes this safe for production databases. Lock it down with a single flag and let Claude analyze your data without any risk of accidental writes or deletes. The server also includes a MongoDB documentation knowledge base, so Claude can reference official docs when answering questions about query syntax or schema design patterns. Setup takes under 60 seconds: run npx mongodb-mcp-server with your connection string, point your MCP client at it, and start querying. Docker support is available for containerized environments. HTTP transport mode opens the door to remote access and multi-client setups. Pair this with the GitHub MCP Server for a pipeline where Claude finds a data bug in your app code, queries production to confirm it, and opens a PR with the fix. Backend engineers, data analysts, and DevOps teams managing Atlas deployments will get the most value here.
Installation
Key Features
- ✓Run find, aggregate, count, insert, update, and delete operations on any MongoDB collection through natural language prompts
- ✓Manage MongoDB Atlas clusters, database users, and IP access lists without leaving your AI assistant
- ✓Enforce read-only mode with a single flag to safely analyze production data without accidental writes
- ✓Inspect collection schemas, index definitions, and database statistics to understand data shape instantly
- ✓Search the built-in MongoDB documentation knowledge base for query syntax and best practices directly in context
- ✓Connect via stdio for local use or HTTP transport for remote and multi-client configurations
Use Cases
- →Debug a slow API endpoint by asking Claude to pull the MongoDB performance advisor recommendations, identify missing indexes, and create them on the spot
- →Explore an unfamiliar database by prompting Claude to list all collections, describe their schemas, and show sample documents -- no GUI tools needed
- →Run complex aggregation pipelines by describing your analysis goal in plain English and letting Claude build and execute the pipeline stages
- →Provision a new Atlas cluster, create a database user, and configure IP access in one conversation when spinning up a new environment
- →Audit production data integrity by connecting in read-only mode and asking Claude to count documents matching specific conditions across collections