MongoDB MCPサーバー

PyMongo

4,311

Provides a comprehensive set of tools for interacting with MongoDB databases from Python applications.

MongoDB

842

Connects to MongoDB databases and MongoDB Atlas clusters via the Model Context Protocol.

Mongo

269

Enables Large Language Models (LLMs) to interact with MongoDB databases for schema inspection and operation execution.

MongoDB Lens

192

Provides a local Model Context Protocol (MCP) server for interacting with MongoDB databases using natural language queries.

Mongo

173

Enables Large Language Models (LLMs) to directly interact with MongoDB databases using natural language.

MongoDB

27

Enables Large Language Models (LLMs) to inspect MongoDB schemas and execute aggregation pipelines.

MongoDB Atlas

13

Manages MongoDB Atlas projects, clusters, users, and network access through the Model Context Protocol (MCP).

Mongo

12

Enables LLMs to interact with MongoDB databases through natural language.

MongoDB

Enables AI assistants to directly query and analyze MongoDB databases through standardized Model Context Protocol (MCP) tools and resources.

MongoDB and MySQL Server

Enables AI models to interact with MySQL and MongoDB databases through a standardized interface.

Vector

Manages standardized collection operations across multiple vector database technologies for AI agents.

Florentine

Enables natural language querying for MongoDB data, transforming questions into aggregations for AI agents and desktop applications.

MongTap

Serves MongoDB-compatible database functionality by generating data statistically using DataFlood ML models, enabling natural language interactions for large language models.

Mongo

Queries MongoDB databases using the Model Context Protocol.

Mcpmongo

Integrates MongoDB with the Model Context Protocol (MCP) to enable AI assistants to interact with databases.

Utils

Provides essential TypeScript utilities for developing Model Context Protocol (MCP) servers with integrated Claude Desktop support.

Mongo

Connects Large Language Models to MongoDB databases for CRUD operations using natural language.

MongoDB

Provides a server agent implementation for MongoDB databases.

MongoDB

Enables AI assistants to perform comprehensive MongoDB database operations through a standardized Model Context Protocol interface.

QueryNest

Provides an intelligent MongoDB multi-instance query service offering database structure discovery, semantic analysis, and natural language query generation.