Claude AI Agent Skills

A multi-model AI orchestration MCP server for automated code review and LLM-powered analysis. Multi-MCP integrates with Claude Code CLI to orchestrate multiple AI models (OpenAI GPT, Anthropic Claude, Google Gemini) for code quality checks, security analysis (OWASP Top 10), and multi-agent consensus. Built on the Model Context Protocol (MCP), this tool enables Python developers and DevOps teams to

A Model Context Protocol (MCP) server for the Discord API (JDA), allowing seamless integration of Discord Bot with MCP-compatible applications like Claude Desktop. Enable your AI assistants to seamlessly interact with Discord. Manage channels, send messages, and retrieve server information effortlessly. Enhance your Discord experience with powerful automation capabilities. Manual Installation M

One of the strange design decisions Anthropic made was depriving Claude of timestamps for messages sent by the user in claude.ai or current time in general. Poor Claude can't tell what time it is! mcp-simple-timeserver is a simple MCP server that fixes that. This server provides the following tools: All tools (except getlocaltime) use accurate time from NTP servers. If NTP is unavailable, they gra

Advanced filesystem operations for Claude Desktop with large file handling capabilities and Claude-optimized features. Add to your Claude Desktop config. - Basic setup - With backup files enabled Control backup file creation behavior. - CREATEBACKUPFILES=false (default): Disables backup file creation to reduce clutter - CREATEBACKUPFILES=true: Creates backup files before modifications Note: Backup

A Model Context Protocol (MCP) server that integrates with Tilt to provide programmatic access to Tilt resources and logs through LLM applications. Imagine prompting like this: The key insight is you no longer need to tell your LLM how to build and deploy your code. Instead, you can simply ask it to what to build and deploy. Tilt is a powerful tool for working with Docker/Kubernetes workloads. Wit

mcp-video-analyzer Turn any video — YouTube, Instagram, TikTok, Loom, X, Vimeo, direct links, local files — into transcripts, key frames, OCR text, and metadata for AI agents. No existing video MCP combines transcripts + visual frames + metadata in one tool. This one does — across Loom, the major yt-dlp platforms (YouTube/Vimeo/TikTok/Instagram/X/Twitch/Dailymotion/Facebook), direct video URLs, an

Run your Miro workshops, retros, and planning sessions from the command line. Read boards, create stickies, organize frames, and generate diagrams through Claude, Cursor, or any MCP client. 98 tools | Single binary | All platforms | All major AI tools Homebrew (macOS/Linux): One-liner (macOS/Linux): Manual download: See SETUP.md for all platforms 1. Go to miro.com/app/settings/user-profile/apps 2.

App Store Connect MCP Server A Model Context Protocol server for the App Store Connect API. Manage apps, builds, TestFlight, reviews, and more — directly from Claude. Works with: asc-mcp is a Swift-based MCP server that bridges Claude (or any MCP-compatible host) with the App Store Connect API. It exposes 208 tools across 25 workers, enabling you to automate your entire iOS/macOS release workflow

Transform how you work with Bitbucket by connecting Claude, Cursor AI, and other AI assistants directly to your repositories, pull requests, and code. Get instant insights, automate code reviews, and streamline your development workflow. - Ask AI about your code: "What's the latest commit in my main repository?" - Get PR insights: "Show me all open pull requests that need review" - Search your cod

A Model Context Protocol (MCP) server implementation for Azure DevOps, allowing AI assistants to interact with Azure DevOps APIs through a standardized protocol. This server implements the Model Context Protocol (MCP) for Azure DevOps, enabling AI assistants like Claude to interact with Azure DevOps resources securely. The server acts as a bridge between AI models and Azure DevOps APIs, providing

Fast, efficient screenshot capture of web pages - optimized for CLI coding tools. Automatically tiles full pages into 1072x1072 chunks for optimal processing. Built specifically for AI vision workflows, this tool captures high-quality screenshots with automatic resolution limiting and tiling for optimal processing by Claude Vision API and other AI models. It ensures screenshots are perfectly sized

An MCP server that gives Claude, Cursor, VS Code Copilot, and other AI assistants instant, offline access to TwitterAPI.io documentation. - 59 API endpoints with full HTTP method, body/query parameters, cURL examples, and response schemas - 32 guide pages covering pricing, authentication, rate limits, webhooks, streaming - 24 blog posts with tutorials and use cases - All v2 write endpoints documen

Scrape, crawl, search, and extract web data. Converts any website to LLM-ready markdown. Local-first with smart escalation (HTTP → browser → stealth). No API key needed.

RevolutionAI is an MCP-native freelance marketplace built for SaaS founders who live in their AI tools. Building a startup means constantly context-switching: - Need a dev? → Open Upwork, post job, wait days - Need a designer? → Jump to Dribbble or Fiverr - Need a marketer? → LinkedIn, emails, calls Every switch kills your flow. You're supposed to be building, not bouncing between 10 tabs. Stay in

An enterprise-grade MCP (Model Context Protocol) server for Jenkins CI/CD integration with advanced features including multi-tier caching, pipeline monitoring, artifact management, and batch operations. - Job Management: Trigger, list, search, and monitor Jenkins jobs with folder support - Build Status: Real-time build status tracking and console log streaming - Pipeline Support: Stage-by-stage pi

Universal Deployment Tracker for AI Assistants Track deployments across all platforms directly in your AI conversation. No more context-switching. No more dashboard hunting. Watch Full Demo · Live Badge Demo ───────────────────────── Get started in under 30 seconds: That's it! The server is now running and ready to be configured in your AI assistant. ───────────────────────── deploy-mcp supports m

A Model Control Protocol (MCP) server that integrates with Amazon Bedrock's Nova Canvas model for AI image generation. - High-quality image generation from text descriptions using Amazon's Nova Canvas model - Advanced control through negative prompts to refine image composition - Flexible configuration options for image dimensions and quality - Deterministic image generation with seed control - Ro

Ace the Claude Certified Architect exam Adaptive certification prep powered by the Model Context Protocol. 390 questions. Guided capstone build. 30 concept handouts. 6 reference projects. Practice exams. Spaced repetition. Zero sycophancy. Quick Start • Features • How It Works • Study Modes • Capstone Build • Reference Projects • Concept Handouts • Exam Domains • Architecture Architect Cert is a f

A Model Context Protocol (MCP) server that connects Claude to the XERT API, providing access to your fitness signature, training load, workouts, and activities. - 📊 Fitness Signature - Get your current FTP, LTP, HIE, and Peak Power - 🎯 Training Status - Check freshness, training load, and recommended XSS - 🏋️ Workout of the Day - AI-powered workout recommendations - 📋 Workouts - List, view det

A Model Context Protocol (MCP) server that enables Claude Desktop (and other MCP clients) to generate images, videos, music, and audio using Fal.ai models. - Native Async API - Uses falclient.runasync() for optimal performance - Queue Support - Long-running tasks (video/music) use queue API with progress updates - Non-blocking - All operations are truly asynchronous - STDIO - Traditional Model Con

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

Shodh-Memory Persistent memory for AI agents. Single binary. Local-first. Runs offline. We built this because AI agents forget everything between sessions. They make the same mistakes, ask the same questions, lose context constantly. Shodh-Memory fixes that. It's a cognitive memory system—Hebbian learning, activation decay, semantic consolidation—packed into a single ~17MB binary that runs offline

Remote voice via VoiceMode Connect. Use when users want to add voice to Claude Code using their phone or web app, without local STT/TTS setup.

Wrap any existing Echo API into MCP tools, enabling AI agents to interact with your API through Model Context Protocol. Inspired by gin-mcp but for the Echo framework. - Zero Configuration: Works with any existing Echo API - Multiple Schema Sources: Support for Swaggo, raw OpenAPI YAML/JSON, and manual schemas - Filtering: Include/exclude endpoints with wildcard patterns - MCP Compatible: Works wi