Documentation AI Agent Skills

Cognitive browser automation with 91 MCP tools. AI-friendliness audits, persona testing, empathy audits, WebMCP readiness. USE WHEN browser automation, screenshot, agent-ready audit, ai-benchmark, empathy audit, webmcp-ready, hunt bugs, cognitive journey, persona comparison, visual regression, cross-browser test.

Basic MCP server for Dexscreener API based on their documentation (as of April 4th 2025): https://docs.dexscreener.com/api/reference Install all the dependencies If you are using Claude Desktop, after pulling the code open the config file claudedesktopconfig.json in VSCode: - on MacOS: - on Windows: - more info: https://modelcontextprotocol.io/quickstart/server In claudedesktopconfig.json put dexs

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.

you are an expert in coding with swift, iOS, UIKit. you always write maintainable code and clean code.

Design system MCP server for creating high-performing LinkedIn content Quick Start • Installation • Documentation • A professional Model Context Protocol (MCP) server for LinkedIn content creation, featuring a shadcn-inspired component system, 10 performance-tuned themes, and data-driven optimization based on 1M+ post analysis. Built on ChukMCPServer — a modular, zero-configuration MCP server fram

Guide for creating effective skills for AI coding agents working with Azure SDKs and Microsoft Foundry services. Use when creating new skills or updating existing skills.

godoc-mcp is a Model Context Protocol (MCP) server that provides efficient access to Go documentation. It helps LLMs understand Go projects by providing direct access to package documentation without needing to read entire source files. godoc-mcp can vastly improve the performance of using LLMs to develop in Go by substantially reducing the number of tokens needed to understand and make use of Go

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).

- 🎯 Quick Start - Become an x402 Champion - 📚 Official Resources - 📖 Protocol Documentation - 🚀 Quickstart Guides - ⚙️ Protocol Implementations - 🏭 Production Implementations - 🛠️ SDKs & Client Libraries - 🔧 Server Frameworks & Middleware - 🏗️ Facilitators - 💡 Example Applications - 🎨 Use Cases & Patterns - 🤖 AI Agent Integration - 🔨 Tools & Utilities - 🧪 Testing & Development - 📚 Tu

Version: v0.2.0 An MCP server that provides access to the Postman API. Functionality is based on the official OpenAPI specification. For more information, see the Postman API documentation. This project is part of the Model Context Protocol (MCP) initiative from Anthropic. For more information, visit the MCP GitHub repository and the announcement on the Anthropic blog. Skip ahead to install instru

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

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".

Use when working with WP-CLI (wp) for WordPress operations: safe search-replace, db export/import, plugin/theme/user/content management, cron, cache flushing, multisite, and scripting/automation with wp-cli.yml.

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

Index and search culture documentation

A Model Context Protocol (MCP) server that exposes FinBrain datasets to AI clients (Claude Desktop, VS Code MCP extensions, etc.) via simple tools. Backed by the official finbrain-python SDK. - Package name: finbrain-mcp - CLI entrypoint: finbrain-mcp - Documentation: finbrain.tech/integrations/mcp Access FinBrain's machine learning price forecasts with daily (10-day) and monthly (12-month) horizo

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

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

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 -

Let MCP clients like Claude and Cursor control Intruder. For more information and sample use cases, please see our blog post. There are two ways to use the MCP server: - Locally on your machine with Python - In a Docker container All of these methods require you to provide an Intruder API key. To generate a key, see the documentation. Install uv if it isn't already present, and then clone this rep

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

Store team knowledge, project conventions, and learnings from tasks. Use to remember what works and recall context before new tasks. Connects to Hindsight Cloud. (user)

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context. - Vector-based documentation search and retrieval - Support for multiple documentation sources - Semantic search capabilities - Automated documentation processing - Real-time context augmentation f

A Model Context Protocol (MCP) server that provides AWS EC2 instance pricing data. This project includes both a traditional server implementation and a serverless Lambda function. The Lambda function provides the same functionality as the server but with serverless benefits: For detailed Lambda documentation, see LAMBDA.md. - EC2 Pricing Data: Find the cheapest EC2 instances based on specification