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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.

9,443 servers. Last updated -

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Matching MCP servers:

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    Enables storage and retrieval of knowledge in a graph database format, allowing users to create, update, search, and delete entities and relationships in a Neo4j-powered knowledge graph through natural language.
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    Enhanced knowledge graph memory server for AI assistants that uses Neo4j as the backend storage engine, enabling powerful graph queries and efficient storage of user interaction information with full MCP protocol compatibility.
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    MIT License
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    This lets you use Claude Desktop, or any MCP Client, to use natural language to accomplish things with Neo4j and your Aura account.
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    An implementation for managing Neo4j graph database operations through the Model Context Protocol, enabling users to execute Cypher queries against their Neo4j database via AI assistants like Cursor and Claude Desktop.
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    A fork of the Neo4j Model Context Protocol server that enables interaction with Neo4j knowledge graphs through environment variable configuration and improved options for remote connections.
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    This server enables interaction between Neo4j databases and Claude Desktop, allowing users to execute Cypher queries, create nodes, and establish relationships in the database.
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    MIT License

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    An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.
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    • Apple
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    Enables interaction with MySQL and PostgreSQL databases through separate pluggable MCP servers with shared core functionality. Features optional TTL caching, bilingual prompts, and a unified gateway for managing multiple database connections.
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    An implementation of persistent memory for Claude using a local knowledge graph, allowing the AI to remember information about users across conversations with customizable storage location.
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    • Apple
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    Enables AI assistants to interact with PostgreSQL and Supabase databases through natural language. Supports secure database operations including queries, migrations, and schema management with user-provided credentials.
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    A Model Context Protocol server implementing the Random Tree Model for encoding, compressing, and recalling narrative information across different levels of abstraction with configurable cognitive parameters.
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    Provides Claude with direct access to databases including SQLite, SQL Server, PostgreSQL, and MySQL, enabling execution of SQL queries and table management through natural language.
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    Provides secure access to Microsoft Entra ID (Azure AD) resources including users, devices, and applications through Microsoft Graph API. Enables querying organizational data with comprehensive audit logging to Azure Blob Storage.
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    A JSON-based database MCP server with JWT authentication that enables user management, project tracking, department analysis, meeting management, and equipment tracking. Integrates with Claude Desktop to provide secure CRUD operations and analytics through natural language commands.
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    An MCP server that enables graph database interactions with Neo4j, allowing users to access and manipulate graph data through natural language commands.
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    A Model Context Protocol server that provides tools for connecting to and interacting with various database systems (SQLite, PostgreSQL, MySQL/MariaDB, SQL Server) through a unified interface.
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    This server enables Claude to directly interact with SQLite, SQL Server, PostgreSQL, and MySQL databases through the Model Context Protocol, allowing for query execution, table management, and data export capabilities.
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    A Model Context Protocol server that enables LLMs like Claude to interact with SQLite and SQL Server databases, allowing for schema inspection and SQL query execution.
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    A Model Context Protocol server that enables LLMs to interact with databases (currently MongoDB) through natural language, supporting operations like querying, inserting, deleting documents, and running aggregation pipelines.
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    MIT License
    • Apple
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    Enables exploration and analysis of Azure infrastructure by querying Azure Resource Graph, ARM, and Network Watcher APIs to create interactive topology maps. Provides tools for searching resources, discovering relationships, finding connectivity paths, and visualizing complete Azure infrastructure topologies.
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    A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.
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    Enables Claude to connect to and interact with SQLite, SQL Server, PostgreSQL, and MySQL databases through natural language. Supports executing queries, managing tables, exporting data, and storing business insights with authentication options including AWS IAM.
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    MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.
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    A Claude integration that enables updating various database types (PostgreSQL, MySQL, MongoDB, SQLite) from CSV and Excel files through natural language commands.
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    A local MCP server that enables users to query the CFPB Consumer Complaint Database through natural language, retrieving financial consumer complaint records via the CFPB API.
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    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.
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    A Model Context Protocol server for querying and analyzing Azure resources at scale using Azure Resource Graph, enabling AI assistants to explore and monitor Azure infrastructure.
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    • Linux
    • Apple
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    A scientific reasoning framework that leverages graph structures and the Model Context Protocol (MCP) to process complex scientific queries through an Advanced Scientific Reasoning Graph-of-Thoughts (ASR-GoT) approach.
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    An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.
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