mcp-mongodb
Related Servers
Alternatives to mcp-mongodb
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityFmaintenanceEnables Claude to interact with MongoDB databases through natural language, supporting queries, aggregations, CRUD operations, and index management with optional Mongoose schema validation.7 npm3MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with MongoDB databases through natural language, supporting document CRUD, aggregation, collection listing, and statistics.82,973 npmApache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to interact with MongoDB databases and MongoDB Atlas, supporting read-only and write operations, Atlas cluster management, and data exploration.82,973 npmApache 2.0
- AlicenseBqualityDmaintenanceEnables AI assistants to interact with MongoDB 3.6+ databases, supporting collection listing, document queries, counting, and aggregations through natural language.51MIT
- AlicenseNot gradedqualityDmaintenanceEnables LLMs to interact with MongoDB databases through a complete suite of CRUD operations, administrative tasks, and index management tools. It supports database and collection handling, aggregation pipelines, and comprehensive server monitoring via the Model Context Protocol.775 PyPI3MIT
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables Claude to interact with MongoDB databases, supporting CRUD operations, aggregation, and database management.82,973 npmMIT
TDQS
Scored across 25 tools
Most tools target distinct MongoDB resources and actions: collections, databases, documents, indexes, and stats are cleanly separated. The only slight overlap is among find, find_one, and get_by_id, plus update_one and replace_one, but descriptions clarify the differences well.
Most tools follow a clear snake_case pattern like insert_one, delete_many, and create_index. Minor deviations exist with bare commands such as find, count, distinct, aggregate and noun-style names like db_stats or server_info, but the overall style remains readable and predictable.
With 25 tools, the server is on the heavy end of what an agent can comfortably scan. The tools do cover a broad MongoDB feature surface without obvious duplicates, but the count feels more like a complete driver SDK than a tightly curated MCP tool set.
The tool set covers the full document lifecycle: create, read, update, delete, replace, plus collection, database, and index management. Minor gaps exist such as no find_and_modify, no explicit create_database, and no bulk-write operation, but core workflows are workable and produce no dead ends.