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Triage 47 GitHub issues in under 2 minutes — labeled, prioritized, and commented — using a custom MCP server wired into Claude Code. No manual sorting, no context switching. What you'll build: - An MCP server in Python that exposes GitHub as tools Claude Code can call - Prompt-driven classification that labels issues by type (bug, feature, question) and priority (P0–P3) - Auto-generated triage comments with suggested next steps for each issue - A reusable setup you can drop into any GitHub repo today The video starts with a quick look at how MCP connects Claude Code to external APIs, then moves straight into building the server — three tools that fetch issues, apply labels, and post comments. From there, you'll wire the server into Claude Code, write the triage prompt, and watch the agent process a real repo's issues end to end. Everything runs locally with the GitHub API and a personal access token. 🔗 Resources: [GitHub Repo] https://github.com/ByteBuilderLabs/AI-Demos/tree/main/github-triage [MCP Python SDK] https://github.com/modelcontextprotocol/python-sdk [Claude Code Docs] https://docs.anthropic.com/en/docs/claude-code [PyGithub] https://github.com/PyGithub/PyGithub Subscribe to ByteBuilder for weekly AI engineering tutorials — from concept to working code, no fluff. [GitHub] https://github.com/ByteBuilderLabs #ai #aiagents #mcp #claudecode #python