Discover Awesome MCP Servers

Macroforge MCP Server

Enables AI assistants to access Macroforge documentation, validate TypeScript code with @derive decorators, expand macros, and retrieve macro documentation.

OpenFeature MCP Server

Provides OpenFeature SDK installation guidance through MCP tool calls. Enables AI clients to fetch installation prompts and setup instructions for various OpenFeature SDKs across different programming languages and frameworks.

MCPServerTransportDemo

A demonstration project for building and testing Model Context Protocol (MCP) servers using the MCP inspector and client tools. It provides a practical implementation for exploring MCP transport mechanisms and server-client interactions.

RobotFrameworkLibrary-to-MCP

How to turn any robot framework library to a mcp server

REMnux Documentation MCP Server

Enables AI assistants to search and retrieve information from the REMnux malware analysis toolkit documentation, allowing users to ask questions about reverse-engineering tools and get accurate, up-to-date answers from the live documentation.

Fusion 360 MCP Integration

Enables AI assistants to interact programmatically with Autodesk Fusion 360 for creating parametric 3D models through simple API calls.

Zulip MCP Server

A Model Context Protocol server that enables AI assistants to interact with Zulip workspaces by exposing REST API capabilities as tools for message operations, channel management, and user interactions.

TOPdesk MCP Server

Enables interaction with TOPdesk service management platform through comprehensive API integration. Supports incident management, operator/person operations, document conversion, and FIQL querying for streamlined IT service desk workflows.

Obsidian MCP Server

Connects AI assistants directly to Obsidian vaults with intelligent note creation using templates, semantic search, smart tagging to avoid duplicates, and specialized agent roles (Guardian, Researcher, Connection Weaver) for managing knowledge bases.

Component Library MCP Server

Provides AI assistants with access to private React component library documentation, props, and code examples through type-safe TypeScript integration.

InstantDB MCP Server

A read-only interface for querying InstantDB that dynamically loads schemas and enables executing queries through pre-defined patterns.

ContextKeep

Provides infinite long-term memory for AI agents with persistent, searchable storage of project details, preferences, and snippets. Reduces token costs by retrieving only relevant memories while keeping all data stored locally.

Apifox MCP

Enables AI assistants to automatically manage Apifox API documentation by importing OpenAPI/Swagger specifications and exporting existing API structures. Supports batch operations, intelligent deprecation marking, and smart scope detection for partial module imports.

Pulsar Edit MCP Server

Enables LLMs to interact with and control the Pulsar text editor through a variety of file and text manipulation commands. It allows for tasks like code editing, context retrieval, and project navigation using either a built-in chat panel or external MCP clients.

AutoCAD MCP Server

Enables AI agents to interact with AutoCAD through Python automation to draw geometric shapes like lines, circles, and polylines in real-time. It facilitates direct control of a running AutoCAD instance on Windows for basic geometric element creation.

MusicGPT MCP Server

Provides AI-powered audio generation and processing through the MusicGPT API, enabling music creation, voice conversion, audio manipulation, stem extraction, and audio analysis capabilities.

TaskMateAI

AI-driven task management application that operates via MCP, enabling autonomous creation, organization, and execution of tasks with support for subtasks, priorities, and progress tracking.

Library Docs MCP Server

Searches and fetches real-time documentation for libraries like Langchain, OpenAI, and Llama-Index using the Serper API. It allows LLMs to access up-to-date technical information and bypass knowledge cut-off limitations.

Where's Waldo Rick

An MCP server that provides agentic vision capabilities for visual regression testing by capturing and comparing screenshots using Gemini Flash. It enables users to detect UI changes and conduct conversational investigations to distinguish between intended and unintended visual modifications.

Mathematica MCP Server

Allows LLMs to execute Wolfram Language code in a secure, session-based environment by providing an interface to interact with a Wolfram Mathematica kernel.

Financial Data MCP Server

A Model Context Protocol server that provides financial tools for retrieving real-time stock data, analyst recommendations, financial statements, and web search capabilities for a LangGraph-powered ReAct agent.

Naver Search MCP Server

Provides access to Naver Search APIs, allowing AI agents to search across multiple categories (blogs, news, books, images, shopping items, etc.) with structured responses optimized for LLM consumption.

Weather MCP Server

Provides real-time weather forecasts and alerts by fetching data from the National Weather Service API, allowing Claude to answer weather-related questions with up-to-date information.

MCP Server TypeScript Starter

A Model Context Protocol (MCP) server that provides location services

Devpipe MCP Server

Enables AI assistants to interact with devpipe, a local pipeline runner, allowing them to list tasks, run pipelines, validate configurations, debug failures, analyze security findings, and generate CI/CD configs through natural language.

Roblox MCP Unified Server

Comprehensive Roblox development server with 8 tools for managing Lua/Luau scripts including creation, validation, backup/restore, and project management with SQLite storage and HMAC authentication.

Google Docs MCP Server

Enables Claude to read, create, and update Google Docs through OAuth authentication. Deployed as a remote Next.js server on Vercel with support for multiple users and secure API key management.

MCP Agents Server

Facilitates interaction and context sharing between AI models using the standardized Model Context Protocol (MCP) with features like interoperability, scalability, security, and flexibility across diverse AI systems.