"A MongoDB MCP that interacts with MongoDB servers" matching MCP servers:

Enables LLM clients to query MongoDB collections read-only through a small set of guarded operations, exposing only declared fields and enforcing scoped filters, projections, and limits.

Full featured MCP Server for MongoDB database analysis.

A Model Context Protocol server that provides read-only access to MongoDB databases, enabling AI assistants to directly query and analyze MongoDB data while maintaining data safety.

Enables AI agents to securely connect to MongoDB databases via MCP, with deployment modes from basic to RBAC-gated with Keycloak authentication.

Enables interaction with MongoDB databases and MongoDB Atlas for querying data and managing clusters via the Model Context Protocol. It supports both local and cloud-based deployments using connection strings or Atlas API credentials.

Provides persistent memory for AI assistants using MongoDB Vector Search, enabling content storage, semantic search, and knowledge retrieval through MCP tools.

A production-grade MCP server that provides persistent long-term memory for AI agents using MongoDB, enabling them to store, search, update, delete, retrieve, and summarize structured project memories across developer workflows.

A Model Context Protocol server that provides access to MongoDB databases. This server enables LLMs to inspect collection schemas and execute read-only queries.

A Model Context Protocol server that enables AI models to interact with both MySQL and MongoDB databases through a standardized interface, supporting comprehensive database operations including queries, schema management, and CRUD operations.

A read-only MongoDB MCP server designed for serverless deployment on Vercel, providing secure, limited access to MongoDB databases for AI assistants.

A 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.

A Model Context Protocol server for interacting with MongoDB Databases and MongoDB Atlas. It enables AI assistants to query, manage, and operate on MongoDB data and Atlas resources through natural language.

MCP server for MongoDB-powered memory bank management with multi-project isolation, version control, and real-time statistics.

A modular server that enables management of MongoDB databases, collections, documents, indexes, and bulk operations through the Model Context Protocol (MCP) interface.

Enables querying and analyzing the MongoDB sample_mflix movie dataset through natural language, supporting searches by title, genre, actors, directors, ratings, and providing aggregate statistics like counts and averages.

Enables interaction with MongoDB databases through user management tools including creating, retrieving, and listing users with pagination support.

Provides a standardized interface for AI assistants to interact with MongoDB databases, enabling CRUD operations, schema analysis, and database management through the Model Context Protocol.

An MCP server that enables large language models to interact directly with MongoDB databases, allowing them to query collections, inspect schemas, and manage data through natural language.

Enables AI assistants like Claude to interact with MongoDB databases through standardized MCP tools. Supports full CRUD operations, aggregations, and natural language queries with Clean Architecture and dual transport modes (STDIO/HTTP).

A Model Context Protocol server that connects Cursor AI IDE with Obsidian notes and MongoDB, creating an integrated knowledge management system with real-time synchronization and search capabilities.