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Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

8,270 servers. Last updated -

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    An MCP server that enables users to create and manage MongoDB Atlas clusters, users, and network access through natural language commands.
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    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.
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    A Model Context Protocol server that enables interaction with MongoDB databases and MongoDB Atlas, allowing users to perform database operations and manage Atlas resources through natural language.
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    Provides read-only access to MongoDB databases for LLMs to inspect collection schemas and execute aggregation pipelines.
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    Full featured MCP Server for MongoDB database analysis.
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    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.
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    An MCP server that provides tools to query and interact with MongoDB user collections, supporting filtering, sorting, and retrieval operations.
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    ATLAS (Adaptive Task & Logic Automation System) is a Model Context Protocol server that provides hierarchical task management capabilities to Large Language Models. This tool provides LLMs with the structure and context needed to manage complex tasks and dependencies.
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    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.
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    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.
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    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.
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    AI assistant application that integrates FastMCP server with MongoDB Atlas knowledge base, enabling direct MCP tool calling for document search and retrieval through a complete REST API.
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    A Model Context Protocol server that provides access to MongoDB databases. This server enables LLMs to inspect collection schemas and execute read-only queries.
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    Provides persistent memory and semantic code understanding for AI assistants using MongoDB Atlas Vector Search. Enables intelligent code search, memory management, and pattern detection across codebases with complete semantic context preservation.
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    A vector search system that enables semantic retrieval of document chunks using MongoDB Atlas Vector Search and Voyage AI embeddings, allowing users to search documents by meaning rather than just keywords.
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    A modular server that enables management of MongoDB databases, collections, documents, indexes, and bulk operations through the Model Context Protocol (MCP) interface.
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    Allows interaction with MongoDB collections and documents through standardized MCP requests, supporting operations like listing collections, reading documents with filtering, and executing structured queries.
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    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.
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    A Model Context Protocol (MCP) server that enables LLMs to interact directly with MongoDB databases. Query collections, inspect schemas, and manage data seamlessly through natural language.
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    A powerful Model Context Protocol (MCP) server implementation that provides standardized interaction with MongoDB databases, supporting complete CRUD operations, async patterns, and real-time updates via SSE.
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    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.
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    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.
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    A protocol server that enables LLMs like Claude to interact with MongoDB databases, providing tools for schema exploration, aggregation queries, and data analysis through natural language in Cursor.
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    A Model Context Protocol (MCP) server that enables LLMs to interact directly with MongoDB databases, allowing them to query collections, inspect schemas, and manage data seamlessly through natural language.
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    A MongoDB multi-instance query service built on MCP that provides intelligent database structure discovery, semantic analysis, and natural language query generation for MongoDB databases.
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    A comprehensive Model Context Protocol (MCP) server for accessing Human Protein Atlas data, providing information about protein expression, subcellular localization, pathology, and more.
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    Provides an MCP interface for accessing YOKATLAS (Turkish Higher Education Council Atlas) data, enabling LLM applications like Claude to search and retrieve details about undergraduate and associate degree programs in Turkey.
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    A Model Context Protocol server that allows saving, retrieving, adding, and clearing memories from LLM conversations with MongoDB persistence.
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    A server that receives todo requests via FastMCP and stores them in MongoDB for processing by the Swarmonomicon todo worker.
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    A todo management server that receives requests via FastMCP and stores them in MongoDB for processing by the Swarmonomicon todo worker.
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