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Concepts

Understand how GitHub to MCP works under the hood.

Core Concepts

How It Works

The end-to-end flow from GitHub URL to MCP server.

Tool Types

Understanding universal and extracted tools.

Repository Classification

How repos are analyzed and categorized.

MCP Protocol

Understanding the Model Context Protocol.

Quick Overview

What is MCP?

The Model Context Protocol (MCP) is an open standard that enables AI assistants to interact with external tools and data sources. It provides a standardized way for AI models to:

  • Call external functions (tools)
  • Access external data (resources)
  • Use predefined conversation templates (prompts)

What GitHub to MCP Does

  1. Fetches a GitHub repository
  2. Analyzes its structure and contents
  3. Extracts tool definitions from various sources
  4. Generates a complete MCP server
  5. Packages everything for easy deployment

Why This Matters

Without MCP, AI assistants are limited to their training data. With MCP:

  • Claude can read your actual codebase
  • Cursor can call real API endpoints
  • ChatGPT can search your documentation

Key Terms

Term Definition
MCP Server A program that exposes tools via the MCP protocol
Tool A function that an AI can call with parameters
Resource Static data that an AI can read
Transport How the AI communicates with the server (stdio, HTTP)
Schema JSON Schema describing a tool's input/output