What is the Model Context Protocol (MCP)?
MCP is a protocol that helps AI‑agentic applications powered by LLMs connect to external tools and data sources, making them more capable and context‑aware.
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A hands-on educational repository that teaches the Model Context Protocol (MCP)—a standard for connecting AI agents powered by LLMs to external tools and data sources. It is designed for developers who want to learn MCP fundamentals and advanced concepts through a structured, commit-by-commit approach.
Clone the repository, then check out a project/* branch for the topic you want to learn. Walk through the commits chronologically using git log --oneline --reverse to see each step. Prerequisites include Python 3.10+, uv, Cursor IDE, and Claude Desktop.
MCP is a protocol that helps AI‑agentic applications powered by LLMs connect to external tools and data sources, making them more capable and context‑aware.
Clone the repo, choose a `project/*` branch, and follow the commits in order using `git checkout` on each commit hash.
Three topics: `project/sse` (Server‑Sent Events), `project/langchain-mcp-adapters`, and `project/docker-mcp`. More may be added.
Python 3.10+, `uv` (fast Python package installer), Cursor IDE, and Claude Desktop.
Yes, contributions are welcome. Fork the repository, create a new branch named `project/your-mcp-feature-name`, and open a Pull Request against `main`.
Gives AI agents public URLs (tunnels) for localhost, live HTTP traffic inspection, snapshot publishing, and access control. Part of LocalCan, the ngrok alternative for Mac, Windows and Linux. Free plan.

Throw HTML at an API, get an unguessable URL back. Zero-config remote MCP server — your agent deploys pages, sites and CI reports in one call. Free, no signup needed.
Set up and manage the Eddyter AI rich text editor by talking to your AI agent — for Claude, Cursor, Codex and other MCP tools. A Model Context Protocol server that lets AI tools add Eddyter to a React, Next.js, Vite or R
MCP server that lets Claude Code, Cursor or Codex ask you for API keys on a local page and write them to .env. The agent only ever sees key names.
Console, Backend and CLI to manage Capgo Instant update and Native build for Capacitor apps Build and upload to app store your mobile app
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