GitHub AI Agent Skills

A unified Model Context Protocol server implementation that aggregates multiple MCP servers into one. 1MCP (One MCP) is designed to simplify the way you work with AI assistants. Instead of configuring multiple MCP servers for different clients (Claude Desktop, Cherry Studio, Cursor, Roo Code, Claude, etc.), 1MCP provides a single, unified server. - 🔄 Unified Interface: Aggregates multiple MCP ser

Version: v0.2.0 An MCP server that provides access to the Postman API. Functionality is based on the official OpenAPI specification. For more information, see the Postman API documentation. This project is part of the Model Context Protocol (MCP) initiative from Anthropic. For more information, visit the MCP GitHub repository and the announcement on the Anthropic blog. Skip ahead to install instru

- 🎯 Quick Start - Become an x402 Champion - 📚 Official Resources - 📖 Protocol Documentation - 🚀 Quickstart Guides - ⚙️ Protocol Implementations - 🏭 Production Implementations - 🛠️ SDKs & Client Libraries - 🔧 Server Frameworks & Middleware - 🏗️ Facilitators - 💡 Example Applications - 🎨 Use Cases & Patterns - 🤖 AI Agent Integration - 🔨 Tools & Utilities - 🧪 Testing & Development - 📚 Tu

A Model Context Protocol (MCP) server implementation that integrates with gitingest for turning any Git repository into a simple text digest of its codebase. - Easy integration with AI assistants through the Model Context Protocol - Git repository analysis and ingestion capabilities - Support for filtering files by size, patterns, and branches - Returns comprehensive repository information includi

Piston MCP Server piston-mcp is an MCP server that allows LLMs to connect to and execute code using Piston . You can try out piston-mcp locally without cloning it. To try out piston-mcp you'll need to install uv: You will also need to download an MCP client to connect to piston-mcp, such as Claude Desktop. Update the MCP client's configuration with the following configuration to connect to piston-

Publish the package to npmjs by bumping version, building, and creating a GitHub release

AI-powered debugging and inspection for Kubernetes clusters using Inspektor Gadget. - AI-powered interface for Kubernetes troubleshooting and monitoring - One-click Inspektor Gadget deployment and removal - Intelligent output summarization and analysis - Automatic gadget discovery from Artifact Hub 1. Ensure you have Docker and a valid kubeconfig file 2. Configure the MCP server in VS Code (see IN

Analyze & generate docs for React code using the Model Context Protocol. Based on react-analyzer library. This tool analyzes React component files (JSX/TSX) and extracts information about components and their props. - analyze-react: Analyzes a single React component from source code - analyze-project: Generates documentation for all React components in a project folder - list-projects: Lists all p

A Model Context Protocol (MCP) server that provides seamless integration with Neovim instances, enabling AI assistants to interact with your editor through connections and access diagnostic information via structured resources. Supports both stdio and HTTP server transport modes for different integration - Multi-Connection Support: Manage multiple concurrent Neovim instances - LSP Integration: Com

Offline lookup for Transloadit Robots and their parameter docs/examples via the `transloadit` CLI. Use to draft or validate `steps` JSON without guessing robot names/params.

Ever wished you could just ask Portainer what's going on? Now you can! Portainer MCP connects your AI assistant directly to your Portainer environments. Manage Portainer resources such as users and environments, or dive deeper by executing any Docker or Kubernetes command directly through the AI. Portainer MCP is a work in progress implementation of the Model Context Protocol (MCP) for Portainer e

Please use Alby MCP instead! This repository has been deprecated in favor of Alby MCP, which includes all the NWC tools along with additional Lightning tools. Connect a bitcoin lightning wallet to your LLM using Nostr Wallet Connect (NWC or NIP-47). This MCP server uses the official MCP TypeScript SDK If your agent supports SSE (e.g. N8N) or HTTP Streamable transports, you can connect to Alby's MC

           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 general purpose Model Context Protocol (MCP) server that provides comprehensive developer tools for file editing, shell command execution, and screen capture capabilities. Built using the rmcp crate. - View files with language detection for markdown formatting - Write/create files with automatic directory creation - String replacement with precise matching - Undo functionality with edit history

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A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your Obsidian vault. Access your notes, create content, manage tags, and search your knowledge base through natural conversation. - CRUD Operations: Create, read, update, and delete notes (with safety confirmation) - Write Modes: Overwrite, append, or prepend content - Batch Reading: Read multiple notes i

Manage MCP servers across 13 AI clients from one CLI. Define a server once. Enable it where you want. Keep unmanaged client entries intact. MCP servers are useful, but managing them across multiple AI clients is repetitive and error-prone: - different config locations - different formats (JSON, JSONC, TOML) - repeated env/header setup - easy to overwrite manual client entries - hard to roll back a

HarmonyOS MCP Server     This is a MCP server for manipulating harmonyOS Device. 1. Clone this repo 2. Setup the envirnment. You can use Claude Desktop to try our tool. You can also use openai-agents SDK to try the mcp server. Here's an example You can use LangGraph, a flexible LLM agent framework to design your workflows. Here's an example Write the system prompt in server.py Use l

Code-Graph-RAG parses a multi-language codebase with Tree-sitter, builds a knowledge graph of its structure in Memgraph, and lets you query, edit, and optimise that code in plain English. It works across a monorepo of mixed languages under one unified graph schema. - Ruby Support: Ruby joins the graph through a new pluggable ast-grep tier that adds a language from a single YAML pattern file, emitt

- ✅ Claude Code Integration - Optimized for use with Anthropic's Claude Code CLI - ✅ SSH Tunnel Support - Built-in support for SSH tunnels to remote databases - ✅ Auto-start/stop Hooks - Automatic tunnel management with Claude start/stop - ✅ DDL Operations - Added MYSQLDISABLEREADONLYTRANSACTIONS for CREATE TABLE support - ✅ Multi-Project Setup - Easy configuration for multiple projects with diffe

Model Context Protocol server for automating Firefox via WebDriver BiDi (through Selenium WebDriver). Works with Claude Code, Claude Desktop, Cursor, Cline and other MCP clients. Repository: https://github.com/freema/firefox-devtools-mcp - Node.js ≥ 20.19.0 - Firefox 100+ installed (auto‑detected, or pass --firefox-path) Recommended: use npx so you always run the latest published version from npm.

The Mermaid MCP Server enables AI assistants like GitHub Copilot, Claude, and custom LLM applications to generate professional architecture diagrams, flowcharts, sequence diagrams, and more using natural language. It provides a Model Context Protocol interface for seamless integration with AI coding assistants. - 🤖 AI-Powered Generation: Create diagrams using natural language with GitHub Copilot

A Model Context Protocol (MCP) server for Homebrew package management on macOS, designed for seamless integration with Claude Desktop and other MCP-compatible clients. - Language: Python 3.13 - MCP: Model Context Protocol - Package Manager: Homebrew (macOS) - Venv/Dependency Manager: uv - Exposes Homebrew commands as MCP tools. The supported commands are grouped by function: - Package Management:

Using nicegui as a PlantUML frontend, you can deploy PlantUML on an intranet. It's a nicegui demo project with an added MCP (Model Context Protocol) server that exposes PlantUML functionality to AI assistants. Plantuml jar version: plantuml-1.2025.3.jar - Interactive PlantUML editor with live preview - Save and load diagrams - Responsive UI with resizable panels - Generate PlantUML diagrams in SVG