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Why Choose the Model Context Protocol Over Building a Custom GitHub API Integration?
Discover the primary advantage of using the Model Context Protocol (MCP) for your AI chatbot’s GitHub integration: it handles tool definitions and execution automatically.
Question
You’re building a chatbot that needs to access GitHub data. What is the main benefit of using MCP instead of writing your own GitHub integration?
A. MCP requires less memory
B. MCP handles the tool definitions and execution for you
C. MCP only works with GitHub
D. MCP makes your chatbot run faster
Answer
B. MCP handles the tool definitions and execution for you
Explanation
The main benefit of using the Model Context Protocol (MCP) rather than writing a custom GitHub integration is that MCP provides a standardized way to connect AI models to data sources by handling all the complex tool definitions, API interactions, and execution routing for you. By simply plugging into an existing GitHub MCP server, the AI assistant immediately gains the capability to securely navigate repositories, manage issues, and read files without you needing to build, format, and maintain custom API schemas and integration logic from scratch.