MongoDB is a developer data platform that provides the services and tools necessary to build distributed applications fast, at the performance and scale users demand.
Why this server?
Provides access to MongoDB databases, allowing LLMs to inspect collection schemas and execute MongoDB operations like queries, aggregations, updates, inserts, and creating indexes
Why this server?
Provides read-only access to MongoDB databases, allowing for querying, aggregation, schema discovery, geospatial operations, text search, and data analysis without write permissions.
Why this server?
Provides database integration for storing and retrieving data with MongoDB, supporting enterprise-grade capabilities for automation workflows
Why this server?
Allows importing data from CSV and Excel files into MongoDB databases
Why this server?
Provides tools for managing MongoDB Atlas projects, including creating and configuring clusters, managing database users, setting up network access, and retrieving connection strings.
Why this server?
Stores and manages clothing tags and recommendation data for the fashion recommender system.
Why this server?
Listed in the roadmap for Q3 2025 to add support for document-oriented schema understanding, enabling AI reasoning with MongoDB databases.
Why this server?
Provides full featured access to MongoDB databases using natural language via LLMs to perform queries, run aggregations, optimize performance, and more. The server connects to MongoDB instances to allow exploration, querying, and management of databases, collections, and documents.
Why this server?
Provides database operations through natural language for MongoDB, including listing collections, querying documents with filtering and projection, inserting documents, deleting documents, and executing aggregate pipeline operations.
Why this server?
Supports generating API architecture plans with MongoDB integration as a database option
Why this server?
Enables direct interaction with MongoDB databases, including collection schema inspection, document querying and filtering, index management, and document operations (insertion, updating, deletion).
Why this server?
Enables LLMs to interact directly with MongoDB databases, including querying collections, inspecting schemas, and managing data through natural language
Why this server?
Enables direct interaction with MongoDB databases, offering tools for collection schema inspection, document querying and filtering, index management, and document operations (insertion, updates, deletion).
Why this server?
Enables querying and managing MongoDB databases by providing tools for collection schema inspection, document operations (querying, filtering, insertion, updates, deletion), and index management.
Why this server?
Supports using MongoDB as a database option when scaffolding Payload CMS projects.
Why this server?
Used as a storage solution for session-based authentication, mentioned in example context for a refactoring task.
Why this server?
Provides tools for documenting LLM safety challenges, including creating and querying models, threads, and messages to track safety issues and jailbreak attempts.
Why this server?
Enables querying and managing MongoDB databases, including collection schema inspection, document operations (querying, filtering, inserting, updating, deleting), and index management.
Why this server?
Optional integration for storing and managing rules dynamically instead of using static files
Why this server?
Provides read-only access to MongoDB databases, enabling inspection of collection schemas and execution of aggregation pipelines with safety features like document limits and query timeouts.
Why this server?
Stores todo items in MongoDB for persistence and retrieval by the Swarmonomicon todo worker
Why this server?
Provides database connectivity for document storage and CRUD operations through the database module
Why this server?
Enables runtime inspection of MongoDB connection configurations and states to diagnose connection issues with MongoDB Atlas or local MongoDB instances.
Why this server?
Enables LLMs to interact directly with MongoDB databases, allowing querying collections, inspecting schemas, and managing data through natural language interfaces.
Why this server?
Integrates with MongoDB for storage and retrieval of OHLCV (Open, High, Low, Close, Volume) cryptocurrency data which serves as the basis for technical analysis
Why this server?
Supports configuration and management of MongoDB databases in Coolify environments.
Why this server?
Stores email vector embeddings for semantic search capabilities, manages connections properly, and provides metadata filtering and efficient retrieval
Why this server?
Optional integration for content management of downloaded videos