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intermediate ~12 hours
GitHub MCP Server
Build an MCP server that exposes GitHub repositories, issues, and PRs as tools for AI agents.
Overview
Build an MCP server that exposes GitHub repositories, issues, and PRs as tools for AI agents.
Architecture
A intermediate-level project using TypeScript, MCP SDK, GitHub API. The architecture follows a modular design with clear separation between data ingestion, AI processing, and user interface layers.
Tech Stack
TypeScript · MCP SDK · GitHub API
Features
- Repository browsing
- Issue management
- PR review tools
- Code search
Resume Points
- Developed MCP server exposing GitHub API as agent tools
- Implemented secure authentication and rate limiting
Interview Questions
How would you architect this project for production?
Discuss: API design, error handling, observability (tracing, logging), cost optimization (caching, model routing), security (input validation, rate limiting), and deployment strategy (Docker, CI/CD, auto-scaling).
What were the biggest challenges building this?
Focus on AI-specific challenges: prompt reliability, hallucination handling, latency optimization, cost management, and evaluation of AI output quality.