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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.

11,396 servers. Last updated -

Matching MCP tools:

Matching MCP servers:

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    A standalone Model Context Protocol service that connects MasterGo design tools with AI models, enabling AI models to directly retrieve DSL data from MasterGo design files.
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    A Model Context Protocol server that allows AI development tools like Cursor and Claude Desktop to retrieve detailed YAPI interface information by interface ID.
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    Provides intelligent design pattern recommendations using semantic search through a comprehensive catalog of 200+ patterns across 20 categories. Users can describe programming problems in natural language to discover appropriate design patterns with contextual recommendations.
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    Enables interaction with Slack workspaces as a user, supporting channel listing, message posting, threading, reactions, and user management via the Slack API.
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    Calculates Human Design charts based on birth date, time, and location, providing type, strategy, authority, profile, gates, defined centers, and incarnation cross information.
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    Server that enables AI assistants to interact with Storybook design systems. Extract component HTML, analyze styles, and help with design system adoption and refactoring.
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    MIT License

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    Enables AI tools to capture and process screenshots of a user's screen, allowing AI assistants to see and analyze what the user is looking at through a simple MCP interface.
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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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    A simple user management service that enables creating new users and retrieving user lists through the Model Context Protocol. Supports user creation with name, email, password, address, and phone parameters.
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    A Model Context Protocol server demonstrating user management capabilities with tools for creating, retrieving, and generating random user data.
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    An MCP server providing tools for user information management with capabilities for retrieving, searching, and adding user data stored in a JSON file.
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    Provides AI tools with access to Visa's Product Design System resources, including design tokens, component specifications, and usage guidelines.
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    Enables creating and managing user profiles with interactive elicitation capabilities that prompt users for missing required information. Demonstrates MCP's elicitation feature by validating profile data and requesting additional details when fields are incomplete.
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    mcp using PyPDF2 to: • merge-pdfs • extract-pages • search-pdfs • merge-pdfs-ordered (merge in user spec. order) • find-related-pdfs (regex extracted text for related PDF files)
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    The Unlicense
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    A Model Context Protocol (MCP) server that enables Claude to use Monte Carlo Tree Search algorithms for deep, explorative analysis of topics, questions, or text inputs.
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    A Model Context Protocol (MCP) server that enables AI assistants to search, retrieve, and analyze content from Xiaohongshu (Little Red Book), providing access to notes, user information, and trending topics.
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    Enables interaction with Douban content including searching and reviewing books, movies, TV shows, and browsing group discussions. Supports searching by ISBN or keywords, retrieving reviews, and managing group topics with filtering capabilities.
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    Enables collecting contextual user input through a dedicated Electron window interface. Supports drawable image input and other input types, allowing MCP clients to request interactive user submissions.
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    A Model Context Protocol server that provides weather information and forecasts based on user location or address input.
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    Allows AI assistants to search the Library of Congress Subject Headings (LCSH) through a simple API interface, making it easy to query and retrieve official subject headings and related terms.
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    Bridges AI language models with Penpot design platform, enabling AI assistants to analyze, search, and interact with design files programmatically for automated design workflows.
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    Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor. This is especially useful for developing desktop applications that require complex user interactions to test.
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    Exposes Ant Design component documentation to Large Language Models, allowing LLMs to explore and understand Ant Design components through specialized tools for listing components, viewing documentation, inspecting props, and browsing code examples.
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    Enables AI assistants to access and manage user profile information including name, company, location, role, interests, and skills. Supports both static configuration files and dynamic session-based storage with automatic date context.
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    Enables management of user health profiles with capabilities to list, retrieve, and add user health information. Provides a sample implementation for testing MCP functionality with ChatGPT and other MCP-compatible tools.
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    Provides access to a universal design token system with 7 pre-built themes (colors, typography, spacing, motion) and multi-format export capabilities for Canva, Remotion, PPTX, CSS, and W3C JSON.
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    Enables dynamic generation of tools based on user-specific permissions from an external API. Users receive personalized tools tailored to their access rights, with intelligent caching and graceful fallback to static tools.
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    A server that manages conversation context for LLM interactions, storing recent prompts and providing relevant context for each user via REST API endpoints.
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    Enables AI assistants to interact with Fergus job management platform through secure API integration. Supports managing jobs, customers, quotes, and sites with real-time data synchronization.
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    A Model Context Protocol server that enables AI assistants to fetch Reddit content including consensus on topics, top posts, helpful links, and related subreddits.
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    This server lets user quickly grab the football/soccer team stats or scores in between coding