GitHub AI Agent Skills

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

Give AI assistants the power to query your Prometheus metrics. A [Model Context Protocol][mcp] (MCP) server that provides access to your Prometheus metrics and queries through standardized MCP interfaces, allowing AI assistants to execute PromQL queries and analyze your metrics data. [mcp]: https://modelcontextprotocol.io - Prometheus server accessible from your environment - MCP-compatible client

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

Terraform infrastructure as code best practices

An MCP server that exposes PraisonAI AI agents and tools for use with Claude Desktop, Cursor, VS Code, Windsurf, and other MCP clients. - 🤖 AI Agents as Tools - Run PraisonAI agents directly from MCP - 🔄 Workflow Orchestration - Multi-step agent workflows - 🛠️ 64 Built-in Tools - Complete coverage of all PraisonAI features - ⚡ Easy Setup - Works with uvx or pip install The core tools for runnin

Cyclops MCP allows your favorite AI agent to manage your Kubernetes applications. Cyclops MCP servers provide tools for agents to create and update existing applications safely. This means it can check all of your existing templates and the schema of those templates to create accurate and production-ready applications. Your agent now has much less room to make a misconfiguration since it creates h

Golang-based MCP server connecting to Kubernetes Features ⚙ Browse With Inspector ⚙ Use With Claude ⚙ Contributing ↗ ⚙ About MCP ↗ MCP 💬 prompt 🗂️ resource 🤖 tool - 🗂️🤖 List Kubernetes contexts - 💬🤖 List Kubernetes namespaces - 🤖 List, get, create and modify any Kubernetes resources - includes custom mappings for resources like pods, services, deployments - 🤖 List Kubernetes nodes - 💬 Li

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

Guides and best practices for working with Neon Serverless Postgres. Covers getting started, local development with Neon, choosing a connection method, Neon features, authentication (@neondatabase/auth), PostgREST-style data API (@neondatabase/neon-js), Neon CLI, and Neon's Platform API/SDKs. Use for any Neon-related questions.

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.

Browse, read, and interact with web pages using PageMap MCP tools. Covers navigation, element interaction, form filling, and page state management.

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

A CLI inspector for the Model Context Protocol - Run MCP servers from various sources - List Tools, Resources, Prompts - Call Tools, Read Resources, Read Prompts - OAuth support for SSE and Streamable HTTP servers This will use the config file of Claude Desktop. The config file has the same format as the Claude Desktop config file. Run a specific tool, resource, or prompt without interactive promp

MCP (Model Context Protocol) server for Biothings.io This server implements the Model Context Protocol (MCP) for BioThings, providing a standardized interface for accessing and manipulating biomedical data. MCP enables AI assistants and agents to access specialized biomedical knowledge through structured interfaces to authoritative data sources. Supported BioThings data sources include: - mygene.i

Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from React frontend to Python FastAPI backend with WebSocket streaming.