GitHub AI Agent Skills

A Model Context Protocol server for the QA Sphere test management system. This integration enables Large Language Models (LLMs) to interact directly with QA Sphere test cases, allowing you to discover, summarize, and chat about test cases. In AI-powered IDEs that support MCP, you can reference specific QA Sphere test cases within your development workflow. - Node.js (recent LTS versions) - QA Sphe

Write less code and say less about it. Honey (I Shrunk the AI) by GreenPT is a cross-tool coding skill that cuts AI coding-agent token usage and LLM API costs — making agents emit less code and less prose without losing correctness. It works with Claude (claude.ai and the API), Claude Code, Cursor, GitHub Copilot, Codex, Gemini CLI, Windsurf, Cline, OpenClaw, Kiro, and Kilo Code. Three independent

A feedback loop for people building AI skills and MCP servers. You're building a skill, an MCP server, or a custom prompt strategy that's supposed to make an AI coding assistant better at a specific job. But how do you know it actually works? How do you know your latest commit made things better and not worse? Pitlane gives you the answer. Define the tasks your skill should help with, set up a bas

Publish a website through the user's connected Shipvela account, inspect deployment status and logs, and return a verified live HTTPS URL. Use only when the user chooses Shipvela or asks to manage an existing Shipvela website.

Progressive disclosure for MCP - Minimal context bloat with on-demand tool discovery and dynamic server provisioning. When Claude Code connects directly to multiple MCP servers (GitHub, Jira, DB, etc.), it loads all tool schemas into context. This causes: - Context bloat: Dozens of tool definitions consume tokens before you even ask a question - Static configuration: Requires Claude Code restart t

A Model Context Protocol (MCP) server that provides access to GitHub's GraphQL API. This server exposes a single tool that allows executing arbitrary GraphQL queries and mutations against GitHub's API. - Execute any GraphQL query against GitHub's API - Comprehensive error handling and reporting - Detailed documentation with example queries - Support for variables in GraphQL operations - Python 3.1

A self-hosted investment decision engine built for modern AI agents. Multi-agent information isolation and cross-challenge protocol, providing an auditable decision trail (Audit Trail). Full Architecture Wiki · 中文版 OpenInvest is a self-hosted investment decision engine built for modern AI agents. It provides a verifiable investment committee, evidence-based reasoning, long-horizon backtest

ROS-MCP-Server connects large language models (such as Claude, GPT, and Gemini) with existing robots giving them bidirectional AI integration. With no changes to existing robot source code, this enables: - 🗣 Commanding the robot in natural language → instructions are translated into ROS/ROS2 commands. - 👀 Giving AI full visibility → subscribe to topics, call services, read sensor data, and monit

AI-powered image editing with style transfer and object removal

Your MCPs, supercharged. Find any tool instantly, execute with code mode, run on schedule, discover skills, load Photons, ready for any client. Smart loading saves tokens and energy. Instead of your AI juggling 50+ tools scattered across different MCPs, NCP gives it a single, unified interface with code mode execution, scheduling, skills discovery, and custom Photons. Your AI sees just 2-3 simple

A Model Context Protocol (MCP) server that provides tools to manage and interact with your LocalStack for AWS container for simplified local cloud development and testing. The LocalStack MCP Server provides simplified integration between MCP-compatible apps and your local LocalStack for AWS development environment, enabling secure and direct communication with LocalStack's emulated services and ad

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details. This MCP server is free and open source, supported by Unipile. It runs locally with your own browser session. Unipile is the fully managed cloud alternative: a hosted LinkedIn API for Classic, Sales Navigator, and Recru

MCP Server for IBGE (Brazilian Institute of Geography and Statistics) APIs. 🇧🇷 Leia em Português This server implements the Model Context Protocol (MCP) to provide access to IBGE's public APIs, enabling AI assistants to query geographic, demographic, and statistical data from Brazil. - 23 specialized tools covering all major IBGE data domains - 227 automated tests with 97%+ core coverage - Autom

This repository is archived as of August 25, 2025. Going forward, the Azure MCP team is using https://github.com/microsoft/mcp to develop the code and issues formerly in this repository. Please see the following for more context:

Use your OpenAPI specification to expose your API's endpoints as strongly typed tools. Basic example for https://petstore3.swagger.io/ 🎉 More complex example, using Github's API: This example use the bearer token auth (with a Github Personal Access Token) and force the tool naming strategy to "verb and path", as Github's operation ids are not valid tool names. As a Nuget tool: openapi-to-mcp Or d

An MCP Server that enables AI assistants to interact with your local browsers. 1. Add MCP Browser Kit to your MCP Client: 2. Choose the right extension build for your browser: - Check the Compatibility table below to see which build (M2 or M3) is compatible with your browser - Note that M2 builds offer more functionality than M3 builds, so prefer M2 if your browser supports both 3. Download the la

MCP Server that can connect to a Kubernetes cluster and manage it. Supports loading kubeconfig from multiple sources in priority order. Before using this MCP server with any tool, make sure you have: 1. kubectl installed and in your PATH 2. A valid kubeconfig file with contexts configured 3. Access to a Kubernetes cluster configured for kubectl (e.g. minikube, Rancher Desktop, GKE, etc.) 4. Helm v

An MCP server implementation wrapping Ankr Advanced API. FastMCP is a Model Context Protocol (MCP) server that provides access to Ankr's Advanced API for blockchain data. It allows LLMs to interact with blockchain data across multiple chains including Ethereum, BSC, Polygon, Avalanche, and more. - Complete wrapper for all Ankr Advanced API endpoints - NFT API: Get NFT metadata, holders, transfers,

A simple MCP server for Yahoo Finance using yfinance. This server provides a set of tools to fetch stock data, news, and other financial information. - yfinancegettickerinfo - Retrieve stock data including company info, financials, trading metrics and governance data. - symbol (string): The stock symbol. - yfinancegettickernews - Fetches recent news articles related to a specific stock symbol with

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

A modern, cross-platform Model Context Protocol (MCP) server that enables AI assistants to browse and interact with both Gopher protocol and Gemini protocol resources safely and efficiently. The Gopher & Gemini MCP Server bridges vintage and modern alternative internet protocols with AI assistants, allowing LLMs like Claude to explore the unique content and communities that thrive on both Gophersp

The memory system for AI coding agents. Decisions, lessons, and context that persist across sessions. mcp-name: io.github.omega-memory/omega-memory AI coding agents are stateless. Every new session starts from zero. - Context loss. Agents forget every decision, preference, and architectural choice between sessions. Developers spend 10-30 minutes per session re-explaining context that was already e

If you use AI agents, such as [Claude Code], [Cursor], or [Windsurf], for code refactoring, you may enjoy using this [MCP] server. Your AI agent, when you ask it to "make code better," may wonder what exactly needs to be improved. Sadly, it may often overlook important problems. AI agents, by design, pay more attention to cosmetic issues, which are "low-hanging fruits" for them. This [MCP] server

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