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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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    Transform your Make scenarios into callable tools for AI assistants. Leverage your existing automation workflows while enabling AI systems to trigger and interact with them seamlessly.
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    A Model Context Protocol server that enables LLMs to safely execute make targets from a Makefile, allowing AI assistants to run tests, format code, and automate various development tasks through natural language interaction.
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    An integration server that allows Claude Desktop to communicate with Make (formerly Integromat) automation platform through the Model Context Protocol, enabling scenario management and execution via natural language.
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    A Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.
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    A Model Context Protocol server for macOS that enables AI assistants to play system sounds for audio feedback, offering informational, warning, and error sound options.
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    Enables Claude Desktop to trigger and interact with Make.com automation scenarios through webhooks. Allows users to execute complex workflows and integrations with third-party services like Google Sheets, Notion, and Slack using natural language commands.
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    Provides comprehensive word definitions, pronunciations, meanings, and examples for any English word using the Free Dictionary API. Includes a random word-of-the-day feature with difficulty levels for vocabulary building.
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    A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.
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    MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
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    A long-term memory storage system for LLMs that helps them remember context across multiple sessions using semantic search with embeddings to provide relevant historical information from past interactions and development decisions.
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    Provides tools to fetch and search news from The Verge's RSS feed, allowing users to get today's news, retrieve random articles from the past week, and search for specific keywords in recent Verge content.
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    A server that connects to The Movie Database API, enabling clients to fetch popular movies, now playing movies, movie details, cast information, and search for movies through a Message Control Protocol interface.
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    Official MCP server that turns The Graph’s Token API into a plug-and-play web3 data tool. Exposes ERC-20 & NFT metadata, balances, transfers, top-holder stats, prices, and more, allowing LLMs to run SQL queries on structured and indexed blockchain data.
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    Apache 2.0
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    Enables browser automation and real-time computer vision tasks through AI-driven commands, offering zero-cost digital navigation and interaction for enhanced web experiences.
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    Enables LLM-based agents to interact with FHIR healthcare data through natural language prompts, providing full CRUD operations on FHIR resources, document processing, and semantic search capabilities.
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    A server that enables interaction with WordPress sites through REST API, allowing users to create, retrieve, and update posts using JSON-RPC 2.0 protocol.
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    A Model Context Protocol server that enables seamless interaction between LLM-based agents and Apple Health data, allowing users to query, analyze, and manage health records through natural language commands.
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    Enables AI and LLM systems to interact with the Buttondown newsletter service, supporting email drafting, scheduling, analytics retrieval, and list management through a Model Context Protocol interface.
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    A modular, scalable news aggregation backend that provides a unified interface to TheNewsAPI for retrieving current and historical news articles with advanced filtering capabilities, designed specifically for consumption by AI agents.
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    A Model Context Protocol server that provides tools for interacting with Mastodon, enabling users to create toots with customizable visibility and attach media files with descriptions.
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    Enables AI assistants to analyze B2C Gold IRA sales call transcripts through 6 specialized prompts executed in strategic order. Provides structured analysis of conversation dynamics, psychology, objections, deal risk, and strategic qualification for retirement planning sales calls.
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    A production-grade Model Context Protocol server that enables secure management of context data through a React dashboard, supporting ZIP processing, context approval workflows, and system monitoring.
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    A secure MCP (Model Context Protocol) server hosted on Google Cloud Run that enables team collaboration by providing authenticated access via Google Cloud IAM, allowing teams to share custom MCP servers over the internet before official MCP authentication is implemented.
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    Enables comprehensive Reddit research through a three-layer architecture that discovers relevant communities, provides operation guidance, and executes multi-subreddit content fetching with proper citations. Supports searching, post fetching, comment analysis, and batch operations across multiple subreddits for thorough content analysis.
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    This MCP server enables interaction with the Punjab State Board of Technical Education and Industrial Training API, allowing access to technical education services and information through natural language.
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    Provide access to the LittleSis API to track corporate power and accountability. Enable querying and exploring relationships and entities related to corporate influence. Facilitate integration of corporate data into LLM applications for enhanced context and insights.
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    The Cursor10x Memory System creates a persistent memory layer for AI assistants (specifically Claude), enabling them to retain and recall short-term, long-term and episodic memory on autonomously.
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    PG-MCP is an HTTP server implementation that enables AI systems to interact with PostgreSQL databases via MCP, providing tools for querying, connecting to multiple databases, and exploring schema resources. The system enriches context by extracting table/column description from database catalogs.
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