Model Context Protocol (MCP) is an open standard that defines how AI applications connect to external tools, data sources, and services. MCP uses a client-server architecture where AI-powered applications (clients) communicate with lightweight programs (servers) that expose specific capabilities through a standardized interface.
MCP servers can provide tools (executable functions), resources (read-only data), and prompts (reusable templates). The protocol supports multiple transport mechanisms including stdio for local processes and HTTP with Server-Sent Events for remote connections.
The protocol was created by Anthropic and released as an open specification. It is supported by AI tools including Claude Code, Cursor, Codex, Windsurf, and Claude Desktop.
Install, run and deploy your own decentralized AI agent service
Multi-modal Generative Media Skills for AI Agents (Claude Code, Cursor, Gemini CLI). High-quality image, video, and audio generation powered by muapi.ai.
AI agent skills for App Store Optimization (ASO) and app marketing. Built for indie developers, app marketers, and growth teams who want Cursor, Claude Code, or any Agent Skills-compatible AI assistant to help with keyword research, metadata optimization, competitor analysis, and app growth.
Easily create LLM tools and agents using plain Bash/JavaScript/Python functions.
OpenClaw-inspired autonomous AI agent built entirely in n8n. Adaptive RAG-powered memory, Skills via MCP templates, Expert Agents with delegated sub-agents, proactive task management, media understanding - self-hosted with one setup script
🚀 19 AI Agents + 44 Commands for Gemini CLI - Code 10x faster with auto planning, testing, review & security
PhD Research Skills for Claude Code: paper reproduction, experiment design, paper review, result comparison and more.
AI agent skills for social media content strategy, creation, and analysis across text-first platforms
Claude Code plugin for creating pixel art with Aseprite through natural language. Supports animation, retro palettes, dithering, and game engine export.
EnvKit — free local development environment for Windows & macOS: nginx/Apache, multiple PHP versions, MySQL/MariaDB, PostgreSQL, Redis, MongoDB, Mailpit, Node.js, trusted .test HTTPS, and a built-in MCP server for AI-assistant control. A Laragon/XAMPP/Herd alternative.
Reusable Skills for LLMQuant Agent, Claude Code, Claude.ai, Cursor, Hermes Agent, OpenClaw and Codex, grounded in LLMQuant Data
Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.
Deploy a complete self-hosted AI stack with Docker Compose: Ollama, LiteLLM, AnythingLLM, Whisper, WhisperLive, Kokoro, Embeddings, Docling and MCP Gateway. Local-first, private by default, with lightweight stacks, optional HTTPS and NVIDIA CUDA acceleration. Multi-arch: amd64, arm64.
Skills, prompts, and instructions for building AI agents on top of Dynatrace production context
AI agent skills, agent teams, MCP servers, and tools that make AI coding assistants better at Swift and iOS development.
The exhaustive guide to mastering Claude for Product Managers. Build your AI-native PM OS from scratch — PRDs, research synthesis, stakeholder decks, and autonomous agents. 11 modules, 40+ hours, real deliverables.
AI-powered project management framework based on an opinionated view on effective prompts and a highly modular approach to building effective agents, workflows, templates, prompts and context documents.
Connect AI agents across any network — zero config, encrypted, skill-based routing
Created by Anthropic
Released November 2024