The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Modelcontextprotocol
Specification and documentation for the Model Context Protocol
Install
$
git clone https://github.com/modelcontextprotocol/modelcontextprotocolInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →Model Context Protocol (MCP)
Just heard of MCP and not sure where to start? Check out our documentation website.
This repo contains the:
- MCP specification
- MCP protocol schema
- Official MCP documentation
The schema is defined in TypeScript first, but made available as JSON Schema as well, for wider compatibility.
The official MCP documentation is built using Mintlify and available at modelcontextprotocol.io.
Authors
The Model Context Protocol was created by David Soria Parra (@dsp) and Justin Spahr-Summers (@jspahrsummers).
Contributing
See CONTRIBUTING.md.
License
This project is licensed under the MIT License.
Similar plugs
Reverse engineer anything with agents, from app behavior down to native binaries.
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype…
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key.