MCP (Model Context Protocol) servers let AI agents reach beyond the codebase. They connect your agent to external APIs, databases, search engines, and services through a standardized protocol — so the agent can actually take action, not just write code.
957 servers
The Unitree Go2 MCP Server is a server built on the Model Context Protocol (MCP) that enables users to control the Unitree Go2 robot using natural language commands interpreted by a Large Language Model (LLM). These commands are translated into ROS2 instructions, allowing the robot to perform corresponding actions. - Unitree Go2 robot - Ubuntu 20.04 or 22.04 - ROS2 environment : Humble(recommended
This is a simple Model Context Protocol (MCP) server implementation for IP2Location.io API. It will return a detailed geolocation information for any given IPv4 or IPv6 address. - Comprehensive Geolocation Data: Retrieves a wide range of information, including country, region, city, latitude, longitude, ZIP code, time zone, and more. - Network Details: Provides network-related data such as ASN, IS
An MCP server that provides cryptocurrency project data from Mobula.io to AI agents. - Fetch Project Data: Retrieve comprehensive project details (e.g., market data, tokenomics, and links) from Mobula. - Structured Output: Format project data into a well-organized Markdown document with sections for overview, market data, investors, exchanges, token distribution, and release schedules. - Language
Provide the latest cryptocurrency news to AI agents, powered by CryptoPanic. Try Kukapay News MCP — no API key required, fully AI-annotated. The server implements only one tool: - kind: Content type (news, media) - numpages: Number of pages to fetch (default: 1, max: 10) Example Output: - CryptoPanic API key & API plan: get one here - Add a server entry to your configuration file: - Replace /your/
A Model Context Protocol (MCP) server implementation for running Locust load tests. This server enables seamless integration of Locust load testing capabilities with AI-powered development environments. - Simple integration with Model Context Protocol framework - Support for headless and UI modes - Configurable test parameters (users, spawn rate, runtime) - Easy-to-use API for running Locust load
Convert markdown (.md) files into professional, interactive PDF documents with automatic table of contents. mcp-name: io.github.wmarceau/md-to-pdf - Automatic Table of Contents - Generated from markdown headers - Interactive Navigation - Clickable TOC links to sections - Professional Styling - Clean, readable PDF output - Code Block Support - Syntax highlighting preserved - Table Support - Markdow
An MCP server that aggregates real-time cryptocurrency news from multiple RSS feeds, helping AI agents make informed decisions in a fast-paced market. - Feed Retrieval: Fetches latest entries from specified RSS feeds, formatting them as Markdown with plain-text summaries. - Keyword Filtering: Filters feeds by keyword in descriptions or categories. - OPML Support: Import feed list from a local OPML
An MCP (Model Context Protocol) server that brings authoritative US legal information into AI coding environments like Cursor and Claude Desktop. - 🆓 No API Keys Required – Works out of the box (optional keys for enhanced access) - 📜 Comprehensive Sources – Congress, Federal Register, CourtListener - ⚡ Easy Setup – One-click install in Cursor or simple manual setup - 🔍 Multi-Source Search – Sea
An MCP server that provides tools for checking latest stable package versions from multiple package registries: - npm (Node.js/JavaScript) - PyPI (Python) - Maven Central (Java) - Go Proxy (Go) - Swift Packages (Swift) - AWS Bedrock (AI Models) - Docker Hub (Container Images) - GitHub Container Registry (Container Images) - GitHub Actions This server helps LLMs ensure they're recommending up-to-da
A Model Context Protocol (MCP) server for weather data, built with FastAPI and the MCP framework. This server provides various weather-related tools that can be used by AI assistants to retrieve current weather conditions, forecasts, air quality data, and more. - Current weather conditions - Weather forecasts (1-14 days) - Historical weather data - Weather alerts - Air quality information - Astron
An MCP server that tracks real-time data for major crypto-related stocks to help AI agents analyze blockchain investment opportunities. - List Crypto Stocks: Retrieve a list of crypto-related stocks (e.g., Coinbase, MicroStrategy) in a table format. - Real-Time Prices: Fetch the latest price for a specific stock, including ticker, company name, price, and timestamp. - Historical Data: Access histo
🇰🇷 한국어 | 🇺🇸 English 한국 주식 분석을 위한 MCP 서버입니다. DART(전자공시시스템)와 KRX(한국거래소) 공식 API를 통해 주가 정보와 공시 자료 기반의 AI분석이 가능합니다. - 🔍 공시검색 - 회사별, 기간별 공시 검색 - 📊 공시 데이터 - 공시보고서 원본파일 파싱한 데이터 제공 - 💼 재무제표 분석 - XBRL 기반 상세 재무 데이터 - 📈 주식 데이터 - KRX(코스피/코스닥) 일별 주가정보, 종목 기본정보 먼저 DART와 KRX의 API KEY를 발급받아야 합니다. 1. 회원가입: OPEN DART 회원가입 2. 키 신청: 인증키 신청 페이지에서 API KEY 신청 3. 키 확인: 오픈API 이용현황에서 발급된 API KEY 확인 1. 회원가입: KRX OPEN
A Model Context Protocol (MCP) server that connects to Heurist Mesh APIs - your gateway to Web3 intelligence. Heurist Mesh is the skills marketplace for AI agents. General-purpose AI models lack specialized knowledge about Web3 and often fail to deliver accurate results. Heurist Mesh provides 30+ specialized AI agents that are experts in crypto analytics, ready to give your AI applications the Web
A Model Context Protocol (MCP) server that provides on-demand access to DexPaprika's cryptocurrency and DEX data API. Built specifically for AI assistants like Claude to programmatically fetch real-time token, pool, and DEX data with zero configuration. DexPaprika MCP connects Claude to live DEX data across multiple blockchains. No API keys required. Installation | Configuration | API Reference Ne
A Model Context Protocol (MCP) server for Claude/Cursor that enables searching and exploring OpenAPI specifications through oapis.org. - Demo: https://x.com/janwilmake/status/1903497808134496583 - HN Thread: https://news.ycombinator.com/item?id=43447278 - OpenAPISearch: https://github.com/janwilmake/openapisearch - OAPIS: https://github.com/janwilmake/oapis The MCP works by applying a 3 step proce
A Model Context Protocol (MCP) server that provides real-time WallStreetBets data for analysis with Claude or other LLM clients. - Fetch WallStreetBets Posts: Filter posts by score, comment count, and content type - Detailed Post Analysis: Extract comments, links, and metadata from posts - External Link Collection: Gather links being shared in WSB discussions - Analysis Templates: Ready-to-use pro
An MCP server for semantic code search & navigation that helps AI agents work efficiently without burning through costly tokens. Instead of reading entire files, agents can search conceptually and jump directly to the specific functions, classes, and code chunks they need. - OpenAI API Key: Required for generating embeddings (local embedding support planned) - Git: Must be a git repository (respec
A modular and extensible Model Context Protocol (MCP) server for Jira and GitHub integration, enabling end-to-end automation of developer workflows - from issue tracking to code changes and pull request management - via AI agents inside the IDE. - Jira integration: fetch issues by filters, search via JQL, and transition issues across workflows - GitHub integration: create branches, open and merge
The Model Context Protocol (MCP) is an open standard that enables seamless integration between AI assistants and external tools and data sources. Think of it as a universal adapter that lets AI assistants like Claude, Cline, and Cursor connect to specialized analysis servers. This server enhances AI assistants with deep architectural analysis capabilities, enabling intelligent code generation, dec
Português | MCP server for fetch web page content using Playwright headless browser. - JavaScript Support: Unlike traditional web scrapers, Fetcher MCP uses Playwright to execute JavaScript, making it capable of handling dynamic web content and modern web applications. - Intelligent Content Extraction: Built-in Readability algorithm automatically extracts the main content from web pages, removing
next-devtools-mcp is a Model Context Protocol (MCP) server that provides Next.js development tools and utilities for coding agents like Claude and Cursor. - Node.js v20.19 or a newer latest maintenance LTS version - npm or pnpm Install the MCP server for all your coding agents: Add -y to skip the confirmation prompt and install to all detected agents already in use in the project directory. Add -g
An MCP server that gives AI agents fast access to verified EVM chain information, including RPC URLs, chain IDs, explorers, and native tokens — sourced from Chainlist.org. - Efficient Data Fetching: Caches Chainlist API data to minimize requests. - Flexible Search: Case-insensitive keyword matching using regex for getChainsByKeyword. - Structured Output: Markdown responses with tabulated rpc and e
- 🚀 99% fewer API calls for batch operations (150-300 → 1) - ⚡ 88% token reduction with compact response formats - 🎯 Batch Dedupe Mode - Check 50-100 titles in one operation - 🔄 Smart Caching - 70-85% API call reduction - 🛡️ Safety Features - Multi-season confirmation, validation - 📦 4 Powerful Tools - Consolidated from 8 for clarity - 🤖 Automated Security Scanning - Dependabot for dependenc
claude-faf-mcp IANA-Registered Format for AI Context · application/vnd.faf+yaml AI assistants forget. They misunderstand. They drift. Every new session, every new file, every new developer — AI starts guessing again. Your codebase context leaks away. Yesterday's perfect assistant becomes today's confused intern. .FAF fixes this permanently. Gold Code = AI Optimized. Your project DNA lives in proje