GitHub AI Agent Skills

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-

A Model Context Protocol (MCP) server for intelligent handling of large files with smart chunking, navigation, and streaming capabilities. - Smart Chunking - Automatically determines optimal chunk size based on file type - Intelligent Navigation - Jump to specific lines with surrounding context - Powerful Search - Regex support with context lines before/after matches - File Analysis - Comprehensiv

Documentation | Getting Started | User Guide | API Reference | MCP (AI Integration) kubefwd enables developers to work on their local machine while seamlessly accessing services running in a Kubernetes cluster. If you're building a new API that needs to connect to a database at db:5432, an auth service at auth:443, and a cache at redis:6379, all running in your development cluster, kubefwd makes t

A Model Context Protocol (MCP) server implementation for the Linear GraphQL API that enables AI assistants to interact with Linear project management systems. MCP Linear bridges the gap between AI assistant and Linear (project management tool) by implementing the MCP protocol. This allows to: - Retrieve issues, projects, teams, and other data from Linear - Create and update issues - Change issue s

A Model Context Protocol (MCP) server that provides hourly and daily weather forecasts using the AccuWeather API. You need an AccuWeather API key (free tier available). Sign up here and create an app to get your key. Export your API key as an environment variable: Then run the MCP Weather server directly with: Or, for HTTP/REST access via supergateway: For integration with Claude Desktop or other

An open source MCP (Model Context Protocol) server empowering SREs with intelligent observability, predictive analytics, and AI-driven automation across Kubernetes, OpenShift, and Tekton environments. - Quick Start - Prerequisites - Installation - Usage Examples - Configuration - Available Tools - Architecture - How It Works - MCP Client Integration - Performance Considerations - Troubleshooting -

   Give AI assistants (Claude, Cursor, VS Code, etc.) the ability to control your desktop and automate tasks across any application. Claude Code (one-liner): Other clients (Cursor, VS Code, Windsurf, etc.): Add to your MCP config file: See the MCP Agent README for detailed setup instructions. - Uses your browser session - no need to relogin, keeps all your cookies and auth - Doesn't take

AI-powered developer workflows with cost optimization and pattern learning. Run code review, debugging, testing, and release workflows from your terminal or Claude Code. Smart tier routing saves 34-86% on LLM costs. -brightgreen) Empathy Framework is evolving to focus exclusively on Anthropic/Claude to unlock features impossible with multi-provider abstraction: - 📦 Prompt Caching: 90% cost reduct

Opinionated, evolving constraints to guide agents when building interfaces

Alibaba Cloud Ops MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Alibaba Cloud APIs, enabling AI assistants to operate resources on Alibaba Cloud, supporting ECS, Cloud Monitor, OOS, OSS, VPC, RDS and other widely used cloud products. It also enables AI assistants to analyze, build, and deploy applications to Alibaba Cloud ECS instances. Smithery AI FC-

This MCP (Model Context Protocol) server provides AIs with tools to interact with your OpsLevel account. Currently, the MCP server only uses read-only access to your OpsLevel account and can read data from the following resources: - Campaigns - Components - Component Dependencies (components that a component depends on) - Component Dependents (components that depend on a component) - Documentation

Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI.

gomcp is an MCP server written in It exposes tools to interact with Lightpanda Browser via CDP protocol. gomcp requires you to have already installed Lightpanda You need to install Go to build from source. Once you have cloned the repository, build the binary with go build. By default, gocmp starts a local instance of Lightpanda browser. On the first run, you need to download the binary with the c

AI-powered image editing with style transfer and object removal

Modern JavaScript/TypeScript development with Bun runtime. Covers package management, bundling, testing, and migration from Node.js. Use when working with Bun, optimizing JS/TS development speed, or migrating from Node.js to Bun.

You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, C

An AI coding assistant built in Rust that provides both command-line and graphical interfaces for autonomous code analysis and modification. Multi-Modal Tool Execution: Adapts to different LLM capabilities with pluggable tool invocation modes - native function calling, XML-style tags, and triple-caret blocks - ensuring compatibility across various AI providers. Real-Time Streaming Interface: Advan

English Version 一个用于与语雀 API 集成的 Model-Context-Protocol (MCP) 服务器。此实现受 Figma-Context-MCP 的启发，并使用 语雀开放 API。 该服务器提供了与语雀知识库平台交互的 MCP 工具，允许 AI 模型： - 获取用户和文档信息 - 创建、读取、更新和删除文档 - 获取统计数据和分析信息 要使用 Smithery 将 Yuque MCP Server 自动安装到 Claude 桌面端： - Node.js 18+ (推荐) - 拥有 API 令牌的语雀账号 3. 基于 .env.example 创建 .env 文件： 4. (可选) 在 .env 文件中添加你的语雀 API 令牌： 你也可以选择在连接到服务器时通过查询参数提供令牌，而不是在 .env 文件中设置。 然后在 HTTP 或 CLI 模式下运行： 本项

This is an MCP server that analyzes the screen with OmniParser and automatically operates the GUI. Confirmed on Windows. This is MIT license, but Excluding submodules and sub packages. OmniParser's repository is CC-BY-4.0. Each OmniParser model has a different license (reference). 1. Please do the following: (Other than Windows, use export instead of set.) (If you want langchainexample.py to work,

[![MIT licensed][mit-badge]][mit-url] [![Python Version][python-badge]][python-url] [![PyPI version][pypi-badge]][pypi-url] [mit-badge]: https://img.shields.io/pypi/l/mcp.svg [mit-url]: https://github.com/reeeeemo/ancestry-mcp/blob/main/LICENSE [python-badge]: https://img.shields.io/pypi/pyversions/mcp.svg [python-url]: https://www.python.org/downloads/ [pypi-badge]: https://badge.fury.io/py/mcp-s

This project provides a Model Context Protocol (MCP) server wrapper around the esp-rainmaker-cli Python library. It allows MCP-compatible clients (like LLMs or applications such as Cursor, Claude Desktop, and Windsurf) to interact with your ESP RainMaker devices using the official CLI. The Model Context Protocol (MCP) is a standardized framework that enables AI systems to interact with external to

Expert capability for robust, stealthy, and efficient browser automation using Playwright Go.

The GitHub MCP Server connects AI tools directly to GitHub's platform. This gives AI agents, assistants, and chatbots the ability to read repositories and code files, manage issues and PRs, analyze code, and automate workflows. All through natural language interactions. - Repository Management: Browse and query code, search files, analyze commits, and understand project structure across any reposi

Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file transfers, repository creation, cache operations, and cloud compute.