Documentation AI Agent Skills

MCP Server for the Bitrise API, enabling app management, build operations, artifact management, and more. - Comprehensive API Access: Access to Bitrise APIs including apps, builds, artifacts, and more. - Authentication Support: Secure API token-based access to Bitrise resources. - Detailed Documentation: Well-documented tools with parameter descriptions. - VS Code - Installation for VS Code IDE -

Claude Code plugins for AWS development with specialized knowledge and MCP server integrations, including CDK, serverless architecture, cost optimization, and Bedrock AgentCore for AI agent deployment. Shared AWS agent skills including AWS Documentation MCP configuration for querying up-to-date AWS knowledge. - AWS MCP server configuration guide - Documentation MCP setup for querying AWS knowledge

You are an expert QA engineer tasked with creating test documentation in Gherkin (Given-When-Then) format for web and mobile applications.

English | 简体中文 🧠 The data layer for AI systems. Skill Seekers turns any documentation, GitHub repo, or PDF into structured knowledge assets—ready to power AI Skills (Claude, Gemini, OpenAI), RAG pipelines (LangChain, LlamaIndex, Pinecone), and AI coding assistants (Cursor, Windsurf, Cline) in minutes, not hours. Skill Seekers is the universal preprocessing layer that sits between raw documentatio

Expert C4 Component-level documentation specialist. Synthesizes C4

You are an AI assistant specialized in Python development.

A Model Context Protocol (MCP) server that provides AI-powered search and querying capabilities for the Vercel AI SDK documentation. This project enables developers to ask questions about the Vercel AI SDK and receive accurate, contextualized responses based on the official documentation. - Direct Documentation Search: Query the Vercel AI SDK documentation index directly using similarity search -

Apple Documentation Crawler & MCP Server A Swift-based tool to crawl, index, and serve Apple's developer documentation to AI agents via the Model Context Protocol (MCP). Cupertino is a local, structured, AI-ready documentation system for Apple platforms. It: - Crawls Apple Developer documentation, Swift.org, Swift Evolution proposals, Human Interface Guidelines, Apple Archive legacy guides, and Sw

You are an expert Python developer with extensive experience in Temporal.

Push architecture docs to oh-my-mermaid cloud. Handles login, link, and push workflow with error guidance. Use when the user says "omm push", "push to cloud", "deploy architecture", or "share architecture".

container-use Containerized environments for coding agents. (📦🤖) (📦🤖) (📦🤖) Container Use lets coding agents do their work in parallel environments without getting in your way. Go from babysitting one agent at a time to enabling multiple agents to work safely and independently with your preferred stack. See the full documentation. It's an open-source MCP server that works as a CLI tool with C

Plugins for Claude Code. Your world at a glance, without leaving the terminal. Track PRs, calendar, Slack, stocks, music—all in your statusline. The flow: /hub-setup → add monitors → alerts appear → /hub-ack for smart actions (merge PR, join meeting, reply to Slack). → Full documentation — workflow examples, all services, commands AI-powered market screening, without leaving the terminal. Screen s

A Model Context Protocol server implementation for Last9 that enables AI agents to seamlessly bring real-time production context — logs, metrics, and traces — into your local environment to auto-fix code faster. - View demo announcement blog post - Installation - Configuration - Tools Documentation - Development You can connect to Last9 MCP in two ways: This is the easiest and cleanest setup. You

Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains.

The Mermaid MCP Server enables AI assistants like GitHub Copilot, Claude, and custom LLM applications to generate professional architecture diagrams, flowcharts, sequence diagrams, and more using natural language. It provides a Model Context Protocol interface for seamless integration with AI coding assistants. - 🤖 AI-Powered Generation: Create diagrams using natural language with GitHub Copilot

For the best experience, use Pipedream's hosted MCP server which provides: - 2,800+ APIs and 10,000+ tools through a single server - Built-in authentication: no manual token management required - Multiple tool modes: sub-agent and full configuration - Automatic app discovery - Enterprise-grade reliability and security 🚀 Get started: Pipedream MCP Documentation This reference implementation shows

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

Generates two complementary onboarding guides — a Principal-Level architectural deep-dive and a Zero-to-Hero contributor walkthrough. Use when the user wants onboarding documentation for a codebase.

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

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 the user asks about WordPress codebases (plugins, themes, block themes, Gutenberg blocks, WP core checkouts) and you need to quickly classify the repo and route to the correct workflow/skill (blocks, theme.json, REST API, WP-CLI, performance, security, testing, release packaging).

Regulatory compliance for AI-powered development tools — classify AI systems, check obligations, and get article-level citations across 240+ articles and 3 major regulations. Full Documentation · Get API Key · API Reference Gibs MCP Server connects your AI development environment directly to a regulatory compliance knowledge base. Currently covering: Every response includes article-level citations

mcp-name: io.github.aikts/yandex-tracker-mcp A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with Yandex Tracker APIs. This server provides secure, authenticated access to Yandex Tracker issues, queues, comments, worklogs, and search functionality with optional Redis caching for improved performance. Documentation in Russian is available here / Документац

You've had thousands of AI conversations. You can't search any of them. ⬆️ Auto-playing preview — click here for full video with audio Documentation · Quickstart · ❓ FAQ · All 25 Tools If this is useful, a ⭐ helps others find it. Restart Claude. 25 tools available. Keyword search works immediately. Alternative: pip install Setup for specific clients After setup, just say "use brain" in an