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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.

9,444 servers. Last updated -

Matching MCP tools:

Matching MCP servers:

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    Persistent memory and pattern learning for AI coding assistants via MCP.
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    All In One Model Context Protocol: qdrant, google suite (gmail, calendar, ...), jira, gitlab, CLI, ...
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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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    Goodday‑MCP is a lightweight Model Context Protocol (MCP) server designed to seamlessly integrate with the Goodday project management platform via its API v2. It enables querying of projects, tasks, and users—without altering any data—making it ideal for secure context-aware applications
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    Authentik MCP provides seamless integration with Authentik's API, supporting both full-featured and diagnostic modes. These enable secure, automated user, group, and system management through MCP-compatible tools.
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    A Node In Layers package that simplifies creation of MCP (Model-Control-Protocol) servers with tools for defining models, adding CRUD operations, and interacting with clients.
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    A basic educational MCP server that provides simple tools for mathematical calculations, text manipulation, and time retrieval. Designed for learning MCP implementation patterns and development purposes.
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    Allows AI models to interact with Obsidian notes through the Local REST API, enabling creation, reading, updating, searching of notes, and Git-based automatic backups.
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    An MCP server that provides various tools for interacting with the Vercel API, enabling management of deployments, DNS records, domains, projects, and environment variables through natural language commands.
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    A protocol server enabling AI agents to control astrophotography equipment through the N.I.N.A. (Nighttime Imaging 'N' Astronomy) software, allowing for natural language command processing of cameras, mounts, focusers, and other astronomy equipment.
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    Agentic tool that looks for statistical variations in conversation structure and logs unusual events to a SQLite database. Built using the Model Context Protocol (MCP), this system is designed to be used with Claude Desktop or other MCP-compatible clients.
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    Primarily to be used as a template for developing MCP servers with FastMCP in Python, PyMCP is somewhat inspired by the official everything MCP server in Typescript.
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    This MCP is used to get realtime food data from OpenFoodFacts database. OpenFoodFacts is a largest food database in the world.
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    Enables users to save frequently used long prompts as simple shortcuts like /review or /debug. Transform 500-word prompts into 8-character commands across any MCP-compatible platform.
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    A deployable Model Context Protocol server on Cloudflare Workers that doesn't require authentication, allowing tools to be added and used from Cloudflare AI Playground or Claude Desktop.
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    Enables users to manage data in a simple JSON file database through MCP tools and REST API. Supports creating, reading, updating, and deleting items organized in collections with auto-generated UUIDs.
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    A flexible memory system for AI applications that supports multiple LLM providers and can be used either as an MCP server or as a direct library integration, enabling autonomous memory management without explicit commands.
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    Integrates with the addTaskManager iOS/macOS app to manage tasks, projects, and ideas through the ADD (Assess-Decide-Do) framework. Enforces realm-based restrictions where users can create/edit content in Assess, assign contexts/dates in Decide, and mark items complete in Do.
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    A model context server that provides prompts that can be used as slash commands for clients like Zed Editor, in order to add page contents as context to the AI assistant.
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    RandomWeb3MCP is a random element generation service based on EVM block hash. The service provides various random element generation tools that can be used in games, finance, testing, and other fields.
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    Enables interaction with the Rami Levy Online Grocery Store API, allowing users to perform product searches, add or remove items from their cart, and prepare for checkout, all while integrating with MCP-enabled LLMs.
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    Enables MCP clients to interact with Monday.com boards, allowing creation and management of items, sub-items, comments, and retrieval of board information.
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    An MCP server that allows AI assistants to manage todo lists stored in a simple markdown file, supporting creation, reading, updating, and deletion of todo items with persistent IDs.
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    An MCP server implementation that enables AI models to discover, search, and analyze data stored in Typesense collections through tools for querying documents, retrieving specific items, and accessing collection statistics.
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    An MCP server for the Congress.gov API that consolidates 91 operations into 6 comprehensive legislative tools that can be used by any MCP client (i.e. Claude Desktop), or MCP-compatible AI agent, to query and reason about congressional data.
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    Enables counting characters or bytes in text with options to include or exclude whitespace. Provides a simple tool for text analysis and length measurement.
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    Server that enhances the capabilities of the Cline coding agent. It provides intelligent code suggestions, reduces hallucinations, and documents the knowledge base by leveraging your project's documentation and detecting the technologies used in your codebase.
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    Enables AI assistants to monitor and interact with industrial systems, providing real-time system health monitoring, operational data analytics, and equipment maintenance tracking. Built with Next.js and designed for industrial automation environments.
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    • Apple