"MongoDB" matching MCP servers:

A MongoDB MCP Server that allows AI agents and MCP clients to interact with MongoDB databases through standardized tools for CRUD operations, schema discovery, and collection management.

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.

A Model Context Protocol server that enables AI assistants to interact with MongoDB Atlas resources through natural language, supporting database operations and Atlas management functions.

MCP server for Hydra ETL: lets AI assistants write declarative YAML ETL pipelines (CSV, Parquet, PostgreSQL, MySQL, MongoDB, APIs) and validate them before any data is read or written.

A multi-database MCP server supporting MySQL, PostgreSQL, MongoDB, and SQLite with read-only and read-write query capabilities, schema inspection, and SSH tunneling, all without Docker.

A Middleware/Control Plane server that allows AI code agents to securely execute queries against various databases (PostgreSQL, MySQL, MongoDB, Oracle) without directly exposing credentials.

A multi-database MCP server with OAuth 2.0 authentication and granular access control, enabling secure connections to multiple database types (SQLite, MySQL, PostgreSQL, MongoDB, Redis) with configurable read/write permissions and tool filtering.

Enables AI assistants to connect to and interact with PostgreSQL, MySQL, SQLite, and MongoDB databases through natural language, supporting schema exploration, query execution, data export, and more.

A production-grade MCP server for secure MongoDB CRUD operations with filtering, pagination, health monitoring, and rate limiting.

Enables AI assistants to search and retrieve CodeChef VIT university question papers from MongoDB, offering tools for paper search, metadata retrieval, and recent paper feeds.

Enables MCP clients to inspect and operate SQLite, PostgreSQL, MySQL/MariaDB, Oracle, SQL Server and MongoDB through 16 tools covering schema discovery, parameterized SQL reads and transactions, MongoDB document operations, and concurrent hybrid SQL/MongoDB queries. Runs locally over stdio or loopback HTTP with pooled connections, bounded concurrency, row and response limits, and read-only defaults.

Enables AI agents to securely query PostgreSQL with pgvector, DynamoDB, and MongoDB Atlas with Vector Search through a read-only, allowlisted MCP interface.