GitHub AI Agent Skills

A Model Context Protocol (MCP) server that lets AI assistants use Go’s LSP (gopls) for navigation, diagnostics, testing, coverage, and more. This MCP server helps AI assistants to: - Use LSP to analyze Go workspaces - Navigate to definitions, references, and workspace symbols - Format, rename, and inspect code actions without leaving MCP - Run Go tests, coverage, go mod tidy, govulncheck, and modu

Official Macrocosmos Model Context Protocol (MCP) server that enables interaction with X (Twitter) and Reddit, powered by Data Universe (SN13) on Bittensor. This server allows MCP clients like Claude Desktop , Cursor , Windsurf , OpenAI Agents and others to fetch real-time social media data. 1. Get your API key from Macrocosmos. There is a free tier with $5 of credits to start. 2. Install uv (Pyth

Draft a new release. Bumps version, generates CHANGELOG.md from git history, and creates a PR.

A Model Context Protocol (MCP) server written in Rust that fetches stock price data from stooq.com. - Latest stock prices - Get real-time stock price data - Historical data - Retrieve historical stock data with custom date ranges - Multi-market support - Access stocks from 5 major markets - Rust 1.75+ This will install to ~/.stooq-mcp/. To customize: The install script will: 1. Build the project 2

A Model Context Protocol (MCP) Server for Lara Translate API, enabling powerful translation capabilities with support for language detection, context-aware translations and translation memories. - 📖 Introduction - 🛠 Available Tools - 🚀 Getting Started - 📋 HTTP Server - 🔌 STDIO Server - 🧪 Verify Installation - 💻 Popular Clients that supports MCPs - 🆘 Support What is MCP? Model Context Proto

An MCP server that powers AI agents with indexed blockchain data from The Graph. Fetches the schema of a specified subgraph, providing AI agents with the context needed to generate GraphQL queries. Parameters: - subgraphId: The subgraph ID (e.g., "QmZBQcF...") - asText: Output format flag - true: Returns human-readable GraphQL schema - false: Returns JSON schema (default) Executes GraphQL queries

This is a Model Context Protocol (MCP) server designed specifically for AI agents and LLM applications. It acts as a bridge between artificial intelligence systems and the comprehensive OpenStreetMap tagging knowledge base provided by the official @openstreetmap/id-tagging-schema library. Current Status: Production-ready MCP server, actively maintained and continuously improved. The service is dep

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,

🚀 MCP Server Available: Install the Model Context Protocol server for AI Distiller from NPM: @janreges/ai-distiller-mcp - seamlessly integrate with Claude, Cursor, and other MCP-compatible AI tools! /.aid/ regardless of where you run aid - Cache management: MCP cache stored in .aid/cache/ for better organization - Easy cleanup: Add .aid/ to .gitignore to keep outputs out of version control Detect

You are a workflow automation expert specializing in creating efficient CI/CD pipelines, GitHub Actions workflows, and automated development processes. Design automation that reduces manual work, improves consistency, and accelerates delivery while maintaining quality and security.

A Model Context Protocol (MCP) server enabling AI agents to query information about dependencies in a Ruby project's Gemfile. Built with fast-mcp. Install the gem and add to the application's Gemfile by executing: 1. Generate the binstub: 2. Configure your client to execute the binstub. Here are examples that work for Claude and Cursor: Available on RubyDoc The server provides two tools for AI age

A local MCP server to communicate local Pharo Smalltalk image. It supports: - Code Evaluation: Execute Smalltalk expressions and return results - Code Introspection: Retrieve source code, comments, and metadata for classes and methods - Search & Discovery: Find classes, traits, methods, references, and implementors - Package Management: Export and import packages in Tonel format - Project Installa

Check robots.txt and sitemap.xml for crawl-blocking mistakes. Use when the user says "check my robots.txt", "validate my sitemap", or "is my site crawlable".

22 skills · installable as Plugin

- Agentic SWMM for reproducible stormwater modeling: the aiswmm runtime + Skills + MCP + SWMM, with a verification-first workflow and Obsidian-compatible audit trail. - Five minutes, one command: an Agentic SWMM workflow that is auditable, memory-informed, and agent-ready. - Live demo (no install, offline case replay): try it in the browser at aiswmm.com. - SWMMCanada upstream, ready to use: insid

Lightweight Model Context Protocol (MCP) server exposing read-only Interactive Brokers data (contracts, historical data, fundamentals, news, portfolio, account) via the asynchronous ibasync library and FastMCP. Ideal for feeding financial data into LLM workflows and autonomous agents while keeping trading disabled. This directory contains an MCP (Model Context Protocol) server that wraps the ibasy

-brightgreen) A Model Context Protocol (MCP) server for analyzing technical debt across multiple programming languages. Designed to integrate with GitHub Copilot and other MCP-compatible tools. - Multi-language support: JavaScript, TypeScript, Python, Java, Swift, Kotlin, Objective-C, C++, C, C, Go, Rust, Ruby, PHP - Comprehensive analysis: Detects various types of tech debt including code quality

mcp-name: io.github.wmarceau/fitness-influencer AI-powered automation suite for fitness content creators. Automates video editing, graphics creation, email management, SMS communication, and revenue analytics. Production URL: https://fitness-influencer-production.up.railway.app (if deployed) When running the API server: Located at: .claude/skills/fitness-influencer-operations/SKILL.md Trigger phra

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

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

Drive four external coding CLIs — Google's Antigravity (Gemini 3.6 Flash), OpenAI Codex, the GitHub Copilot CLI, and Cursor — as sub-agents inside Claude Code. Text answers, image generation, real repo work, and parallel swarms, on quota you already pay for. One MCP server, four backends. It exposes Google Antigravity, OpenAI Codex, the GitHub Copilot CLI, and Cursor to Claude Code as clean MCP to

Give Claude access to all 200+ AWS services through the AWS CLI. This MCP server lets Claude run AWS CLI commands on your behalf. Instead of wrapping each AWS API individually, it wraps the CLI itself—giving Claude complete AWS access through just two tools: Claude learns commands on-demand using --help, then executes them. Your IAM policy controls what it can actually do. - Streamable HTTP transp

Markmap MCP Server is based on the Model Context Protocol (MCP) that allows one-click conversion of Markdown text to interactive mind maps, built on the open source project markmap. The generated mind maps support rich interactive operations and can be exported in various image formats. - 🌠 Markdown to Mind Map: Convert Markdown text to interactive mind maps - 🖼️ Multi-format Export: Support for

The implementation of Model Context Protocol (MCP) server for VictoriaMetrics. This provides access to your VictoriaMetrics instance and seamless integration with VictoriaMetrics APIs and documentation. It can give you a comprehensive interface for monitoring, observability, and debugging tasks related to your VictoriaMetrics instances, enable advanced automation and interaction capabilities for e

A Model Context Protocol (MCP) server that provides intelligent search capabilities for discovering relevant Claude Agent Skills using vector embeddings and semantic similarity. This server implements the same progressive disclosure architecture that Anthropic describes in their Agent Skills engineering blog, making specialized skills available to any MCP-compatible AI application. An open-source