MongoDB MCP Server
Related Servers
Alternatives to MongoDB MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceA Model Context Protocol server that enables interaction with MongoDB databases and MongoDB Atlas, allowing users to perform database operations and manage Atlas resources through natural language.22100,562 npmApache 2.0

MongoDB MCP Serverofficial
AlicenseBqualityAmaintenanceA Model Context Protocol server that enables AI assistants to interact with MongoDB Atlas resources through natural language, supporting database operations and Atlas management functions.28100,562 npm1,138Apache 2.0- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol (MCP) server for MongoDB operations, enabling AI assistants to interact with MongoDB databases through a standardized interface.12 npm4MIT
- AlicenseBqualityAmaintenanceA Model Context Protocol server that provides access to MongoDB databases. This server enables LLMs to inspect collection schemas and execute read-only queries.8132 npm283MIT
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables LLMs to interact directly with MongoDB databases, allowing users to query collections, inspect schemas, and manage data through natural language.28 npm2MIT
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables LLMs to interact directly with MongoDB databases, allowing users to query collections, inspect schemas, and manage data through natural language.28 npmMIT
TDQS
Scored across 25 tools
Most tools have distinct targets (e.g., drop-collection vs drop-database, create-index vs collection-indexes). However, aggregate and aggregate-db are nearly identical at different scopes, and collection-storage-size and db-stats could be confused.
All names use kebab-case, but the pattern is mixed: verb-noun for actions (drop-collection, create-index) vs noun-descriptive for metadata (collection-indexes, db-stats, mongodb-logs). Also, 'aggregate' and 'aggregate-db' are inconsistent.
25 tools is above the preferred 3-15 range but justified for a comprehensive MongoDB server covering CRUD, indexes, schema, stats, aggregation, and knowledge search. It feels slightly heavy but not bloated.
Covers core MongoDB operations: collection/database lifecycle, CRUD, indexes, aggregation, stats, export, and logs. Missing single-document operations (insert-one, update-one, delete-one) but find and list-collections fill most gaps.