GitHub AI Agent Skills

A Model Context Protocol (MCP) server for interacting with the Godot game engine. Godot MCP enables AI assistants to launch the Godot editor, run projects, capture debug output, and control project execution - all through a standardized interface. This direct feedback loop helps AI assistants like Claude understand what works and what doesn't in real Godot projects, leading to better code generati

BGG MCP: BoardGameGeek MCP Server BGG MCP provides access to the BoardGameGeek API through the Model Context Protocol, enabling retrieval and filtering of board game data, user collections, and profiles. The server is implemented in Go, using the GoGeek library, which helps ensure robust API interactions. Price data is provided by BoardGamePrices.co.uk, offering real-time pricing from multiple ret

🇰🇷 한국어 | 🇯🇵 日本語 | 🇨🇳 简体中文 | 🇹🇼 繁體中文 | 🇧🇷 Português The OP.GG MCP Server is a Model Context Protocol implementation that provides AI agents with access to OP.GG game data for League of Legends, Teamfight Tactics, and Valorant. The server supports Streamable HTTP transport. Most tools require a desiredoutputfields parameter to specify which fields to return. This reduces payload size and i

A FastMCP-powered Model Context Protocol server for Google Ads API integration with automatic OAuth 2.0 authentication Connect Google Ads API directly to Claude Desktop and other MCP clients with seamless OAuth 2.0 authentication, automatic token refresh, GAQL querying, and keyword research capabilities. Your browser does not support the video tag. For a simpler setup experience, we offer ready-to

OpenZIM MCP Server Transform static ZIM archives into dynamic knowledge engines for AI models OpenZIM MCP transforms static ZIM archives into dynamic knowledge engines for Large Language Models. Unlike basic file readers, this tool provides intelligent, structured access that LLMs need to effectively navigate and understand vast knowledge repositories. Why LLMs Love OpenZIM MCP: - Smart Navigation

English Documentation 这是一个支持远程连接的模型上下文协议 (MCP) 服务器，内置了飞书 OAuth 认证。 本项目修改自 cloudflare/ai/demos/remote-mcp-github-oauth，将 GitHub OAuth 替换为飞书 OAuth。 您可以将其部署到自己的 Cloudflare 账户，并在创建自己的飞书 OAuth 客户端应用后，拥有一个功能完整的远程 MCP 服务器。用户可以通过飞书账号登录连接到您的 MCP 服务器。 - 与飞书官方 MCP Server 的区别 - 使用 Inspector 测试 - 使用 Cursor - 使用 ChatWise 虽然飞书官方也推出了 MCP Server，但本项目在以下几个方面具有显著优势： - 本项目：用户无需手动配置任何参数，全程使用 useraccesstoken，过期自动刷新 - 官

An MCP server for AI agents to explore DeFi yield opportunities, powered by DefiLlama. - Data Fetching Tool: The getyieldpools tool retrieves DeFi yield pool data from the DefiLlama, allowing filtering by chain (e.g., Ethereum, Solana) or project (e.g., Lido, Aave). - Analysis Prompt: The analyzeyields prompt generates tailored instructions for AI agents to analyze yield pool data, focusing on key

文颜（Wenyan） 是一款多平台 Markdown 排版与发布工具，支持将 Markdown 一键转换并发布至： - 以及其它内容平台（持续扩展中） 文颜的目标是：让写作者专注内容，而不是排版和平台适配。 文颜目前提供多种形态，覆盖不同使用场景： - macOS App Store 版 - MAC 桌面应用 - 跨平台桌面版 - Windows/Linux - CLI 版本 - 命令行 / CI 自动化发布 - 👉 MCP 版本 - 本项目 - 核心库 - 嵌入 Node / Web 项目 本仓库是 文颜的 MCP Server 版本，基于模型上下文协议（Model Context Protocol），旨在让 AI 助手（如 Claude Desktop）具备自动排版和发布公众号文章的能力。 - 与 AI 深度集成：让 AI 帮你管理公众号的排版和发布 - 支持 SSE 模式

MCP (Model Context Protocol) server for RAGStack knowledge bases. Enables AI assistants to search, chat, upload documents/media, and scrape your knowledge base. Get your GraphQL endpoint and API key from the RAGStack dashboard: Settings → API Key Edit ~/Library/Application Support/Claude/claudedesktopconfig.json (Mac) or %APPDATA%\Claude\claudedesktopconfig.json (Windows): Edit ~/.aws/amazonq/mcp.

A Model Context Protocol (MCP) server that provides access to all the curated awesome lists and their items. It can provide the best resources for your agent from sections of the 8500+ awesome lists on github and more then 1mn+ (growing) awesome row items. What are Awesome Lists? Awesome lists are community-curated collections of the best tools, libraries, and resources on any topic - from machine

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           CentralMind Gateway: Create API or MCP Server in Minutes 🚀 Interactive Demo avialable here: https://centralmind.ai Simple way to expose your database to AI-Agent via MCP or OpenAPI 3.1 protocols. This will run for you an API: Which you can use inside your AI Agent: Gateway will generate AI optimized API. AI agents and LLM-powered applications need fas

A mcp server that provides real-time and historical Crypto Fear & Greed Index data, powered by the Alternative.me. This server exposes resources and tools for fetching and analyzing the Fear & Greed Index, making it easy to integrate into MCP-compatible clients, including Claude Desktop. - Current Index: Retrieve the latest Fear & Greed Index value and classification. - Historical Data: Fetch hist

Connect Claude, ChatGPT, and other AI assistants to your Obsidian vault. If you find this MCP server useful, please consider supporting its development! 👉 Click here to support this project Your support helps maintain and improve this tool. Thank you! 🙏 Claude Desktop: Add to ~/Library/Application Support/Claude/claudedesktopconfig.json (Mac) or %APPDATA%\Claude\claudedesktopconfig.json (Windows

MongoDB Lens is a local Model Context Protocol (MCP) server with full featured access to MongoDB databases using natural language via LLMs to perform queries, run aggregations, optimize performance, and more. - Quick Start - Installation - Configuration - Client Setup - Data Protection - Test Suite - Disclaimer - Install MongoDB Lens - Configure MongoDB Lens - Set up your MCP Client (e.g. Claude D

This downloads the latest release and installs it to /Applications. 1. Download the latest MemoryLane Setup .exe from GitHub Releases. 2. Run the installer and finish setup. 3. Launch MemoryLane from the Start menu. Desktop app that sees what you see, stores summaries about it locally and lets you query it in any AI chat via MCP. Screenshots → local storage → MCP into AI chats Once connected, try

A Streamable-HTTP MCP Server that uses memvid to encode text data into videos that can be quickly looked up with semantic search. Supported Actions: - addchunks: Adds chunks to the memory video. Note: each time you add chunks, it resets the memory.mp4. Unsure if there is a way to incrementally add. - search: queries for the top-matching chunks. Returns 5 by default, but can be changed with topk pa

An MCP server for managing and sharing your personal knowledge, daily notes, and reuseable prompts via GitHub Gists. It's a companion to the GistPad VS Code extension and GistPad.dev (for web/mobile), which allows you to access and edit your gists from any MCP-enabled AI product (e.g. GitHub Copilot, Claude Desktop). - 🏃 Getting started - 🛠️ Included tools - 📁 Included resources - 💬 Reusable p

A Model Context Protocol (MCP) server that provides local vector database functionality using FAISS for Retrieval-Augmented Generation (RAG) applications. - Local Vector Storage: Uses FAISS for efficient similarity search without external dependencies - Document Ingestion: Automatically chunks and embeds documents for storage - Semantic Search: Query documents using natural language with sentence

This project is no longer needed. Ragie now supports MCP natively as a streamable HTTP server. See docs here: [https://docs.ragie.ai/docs/mcp-overview] If you would like users within your company to be able to access you knowledge base in applications like Claude or ChatGPT, you may need MCP Bridge A Model Context Protocol (MCP) server that provides access to Ragie's knowledge base retrieval capab

The local Dynatrace MCP server allows AI Assistants to interact with the Dynatrace observability platform, bringing real-time observability data directly into your development workflow. If you need help, please contact us via GitHub Issues if you have feature requests, questions, or need help. You can add this MCP server to your MCP Client like VSCode, Claude, Cursor, Amazon Q, Windsurf, ChatGPT,

A MCP Server implemented in Node.js/TypeScript, facilitating interactive communication between LLMs and users. Note: This server is designed to run locally alongside the MCP client (e.g., Claude Desktop, VS Code), as it needs direct access to the user's operating system to display notifications and command-line prompts. (Note: This project is in its early stages.) Want a quick overview? Check out

A high-performance, pure Rust Model Context Protocol (MCP) server that provides persistent, semantic, and graph-based memory for AI agents. Works perfectly with: Claude Desktop Claude Code (CLI) Cline / Roo Code Any other MCP-compliant client. Unlike other memory solutions that require a complex stack (Python + Vector DB + Graph DB), this project is a single, self-contained executable. ✅ No Extern

Lightweight logging & observability for agent work across clients (Codex, Claude, Cursor, ChatGPT, OpenClaw, and others). - One MCP tool (logwork) that aggregates work done across different agents for single or multiple users. - Define your own logging structure with custom schemas (or use built-in profiles) once, and the MCP schema will guide clients to log with correct payloads. - This lets team