GitHub AI Agent Skills

- 🚀 99% fewer API calls for batch operations (150-300 → 1) - ⚡ 88% token reduction with compact response formats - 🎯 Batch Dedupe Mode - Check 50-100 titles in one operation - 🔄 Smart Caching - 70-85% API call reduction - 🛡️ Safety Features - Multi-season confirmation, validation - 📦 4 Powerful Tools - Consolidated from 8 for clarity - 🤖 Automated Security Scanning - Dependabot for dependenc

Generates customer-ready roadmap views and launch timelines from ProductPlan for Sales and Customer Success teams. Use when preparing for customer calls, sharing product direction, or answering "when will feature X ship?" questions.

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

A Model Context Protocol (MCP) server that provides tools for fetching dependency information from Clojars, the Clojure community's artifact repository for Cline, Roo Code, Cody, Claude Desktop etc. The quickest way to use the Clojars MCP Server is to run it directly with npx: You can also install it globally: To install Clojars Dependency Server for Claude Desktop automatically via Smithery: 1. C

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

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.

- Fixed reply threading — auto-resolves In-Reply-To and References headers so email replies land in the correct thread instead of creating orphaned messages (upstream PR 91, still pending) - Send-as alias support — optional from parameter for multi-identity email management (send from any configured Gmail alias) - Reply-all tool — replyall automatically fetches the original email, builds To/CC rec

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

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

Enable AI models to interact with a global network measurement platform through natural language. Give network access to any LLM. Globalping is a free, public API that provides access to a globally distributed network of probes for monitoring, debugging, and benchmarking internet infrastructure. With Globalping, you can run network tests (ping, traceroute, DNS, MTR, HTTP) from thousands of locatio

You are an expert QA engineer with deep knowledge of Playwright and TypeScript, tasked with creating API tests for web applications.

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

A Model Context Protocol server for document format conversion using pandoc. This server provides tools to transform content between different document formats while preserving formatting and structure. Please note that mcp-pandoc is currently in early development. PDF support is under development, and the functionality and available tools are subject to change and expansion as we continue to impr

日本語版 READMEはこちら Model Context Protocol (MCP) server implementation that integrates the LINE Messaging API to connect an AI Agent to the LINE Official Account. 1. pushtextmessage - Push a simple text message to a user via LINE. - userId (string?): The user ID to receive a message. Defaults to DESTINATIONUSERID. Either userId or DESTINATIONUSERID must be set. - message.text (string): The plain text

1. 入门示例: tablestore-java-mcp-server 2. 基于 MCP 架构实现知识库答疑系统: tablestore-java-mcp-server-rag - 实现一个目前最常见的一类 AI 应用即答疑系统，支持基于私有知识库的问答，会对知识库构建和 RAG 做一些优化。 1. 入门示例: tablestore-python-mcp-server 1. Mem0-OpenMemory-MCP: tablestore-python-mem0-mcp-server 欢迎加入我们的钉钉公开群，与我们一起探讨 AI 技术。钉钉群号：36165029092

This is an MCP server that runs and exposes a language server to LLMs. Not a language server for MCP, whatever that would be. mcp-language-server helps MCP enabled clients navigate codebases more easily by giving them access semantic tools like get definition, references, rename, and diagnostics. 1. Install Go: Follow instructions at 2. Install or update this server: go install github.com/isaacphi

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

An MCP (Model Context Protocol) server that lets Claude, ChatGPT, and other LLM agents search and discover APIs using natural language via Semantic API. Ask for any API capability in plain English and get back endpoint details, parameters, auth info, and code snippets. Or run directly with uvx: Sign up at semanticapi.dev to get your API key. Add to your Claude Desktop config (~/Library/Application

mcp-name: io.github.isdaniel/mcpweatherserver A Model Context Protocol (MCP) server that provides weather information using the Open-Meteo API. This server supports multiple transport modes: standard stdio, HTTP Server-Sent Events (SSE), and the new Streamable HTTP protocol for web-based integration. Get current weather information with comprehensive metrics: Temperature, humidity, dew point Wind

文颜（Wenyan） 是一款多平台 Markdown 排版与发布工具，支持将 Markdown 一键转换并发布至： - 以及其它内容平台（持续扩展中） 文颜的目标是：让写作者专注内容，而不是排版和平台适配。 文颜目前提供多种形态，覆盖不同使用场景： - macOS App Store 版 - MAC 桌面应用 - 跨平台桌面版 - Windows/Linux - CLI 版本 - 命令行 / CI 自动化发布 - 👉 MCP 版本 - 本项目 - 核心库 - 嵌入 Node / Web 项目 本仓库是 文颜的 MCP Server 版本，基于模型上下文协议（Model Context Protocol），旨在让 AI 助手（如 Claude Desktop）具备自动排版和发布公众号文章的能力。 - 与 AI 深度集成：让 AI 帮你管理公众号的排版和发布 - 支持 SSE 模式

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

Hard-edged writing style contract for timeless, forceful English prose without AI tics

MCP (Model Context Protocol) server for OpenGenes database This server implements the Model Context Protocol (MCP) for OpenGenes, providing a standardized interface for accessing aging and longevity research data. MCP enables AI assistants and agents to query comprehensive biomedical datasets through structured interfaces. The server automatically downloads the latest OpenGenes database and docume

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