"Information about MongoDB, a database system" matching MCP servers:

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.

Provides read-only access to MongoDB databases for LLMs to inspect collection schemas and execute aggregation pipelines.

An MCP server that enables users to create and manage MongoDB Atlas clusters, users, and network access through natural language commands.

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.

MCP server for comprehensive MongoDB integration, enabling database operations, document management, schema analysis, and query tools.

Feature-rich MCP server for MongoDB with multi-connection support, enabling users to interact with multiple MongoDB clusters simultaneously, perform CRUD operations, run aggregations, diagnostics, and more, all through natural language.

Enables interaction with MongoDB databases through MCP, supporting database queries, resource reading, and multi-collection operations including aggregation pipelines and lookups.

Full featured MCP Server for MongoDB database analysis.

MCP server that exposes MongoDB business data via tools for summary statistics, new users, and pending payments.

Enables SQL database interaction with true server-side result paging, runtime-managed connection profiles, and SSH-bridged access for PostgreSQL.

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.

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.

Enables interaction with MongoDB databases through MCP protocol. Provides containerized deployment with Docker support for database operations and management.

Enables AI assistants to interact with MongoDB databases through natural language, supporting document CRUD, aggregation, collection listing, and statistics.

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.

Enables interaction with MongoDB databases and MongoDB Atlas through the Model Context Protocol, providing tools for database operations and Atlas management.

Enables interaction with MongoDB databases through the Model Context Protocol, supporting CRUD operations, secure connections, and easy IDE integration.

Provides a natural language interface for querying and managing PostgreSQL, MySQL, MariaDB, MSSQL, and SQLite databases using the Model Context Protocol. Users can explore database schemas and visualize query results through an integrated web dashboard.

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

A read-only MCP server that enables Cursor IDE to query MongoDB databases for debugging and development, supporting collection listing, document finding, and counting.

Enables MCP clients such as Claude Code or Claude Desktop to explore and query a single MongoDB database through tools for listing collections, inferring schemas, finding, aggregating, and counting documents. All access is strictly read-only, with allowlists, operator denylists, and hard limits.

A Model Context Protocol server that enables Claude to interact with MongoDB databases, supporting CRUD operations, aggregation, and database management.

Enables AI agents and MCP clients to interact with MongoDB databases and MongoDB Atlas, providing tools to query and manage data and Atlas resources through the Model Context Protocol.

A Model Context Protocol (MCP) server for MongoDB operations, enabling AI assistants to interact with MongoDB databases through a standardized interface.

Enables AI assistants to interact natively with MongoDB databases, including schema discovery, CRUD operations, aggregation pipelines, and index management via natural language.

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.

Provides universal database operations for AI assistants through MCP, supporting 40+ databases including PostgreSQL, MySQL, MongoDB, Redis, and SQLite with built-in introspection tools for schema exploration.

MCP server for multiple databases (PostgreSQL, MySQL, MariaDB, SQLite, MongoDB, Redis) with tools for schema inspection, querying, performance diagnostics, and safe write operations, featuring access modes, PII masking, and audit logging.

Automatically discovers database schema, performs data quality checks on tables and columns, and generates natural-language root cause analysis reports using Ollama LLM.

Enables natural language interaction with a corporate SQLite database, allowing users to set up tables, add records, and search data through plain English commands.