MCP Directory
Back

agentic-engineering-handbook

by keyuchen21 · Python · ★ 130

The definitive OpenAI, Claude, MCP, Harness, Evals, and Production Agent Systems learning roadmap.

#agentic-engineering#agents#ai-agents#anthropic#claude-code#llm#mcp#openai

Install

pip install git+https://github.com/keyuchen21/agentic-engineering-handbook.git

Auto-generated from the repo's primary language — check the repo's own README for its exact install instructions.

Claude Desktop config

A starting point for your claude_desktop_config.json (auto-generated — the repo's README may specify a published package name or required env vars):

{
  "mcpServers": {
    "agentic-engineering-handbook": {
      "command": "uvx",
      "args": [
        "git+https://github.com/keyuchen21/agentic-engineering-handbook.git"
      ]
    }
  }
}

From the README

> The definitive OpenAI, Anthropic, Google, MCP, Harness, Evals, and Production Agent Systems learning roadmap. [](LICENSE) [](#) If this repository helps you, consider giving it a ⭐ Pick the path that matches your starting point: - **New to agents:** follow the [Learning Roadmap](#learning-roadmap) from Phase 0 to Phase 6. Treat each , , and as a checklist. - **Already building LLM apps:** start at [Phase 2](#phase-2--mcp--tool-ecosystem) or [Phase 3](#phase-3--context-memory--skills), then fill gaps in agent loop, tool calling, evals, and production engineering. - **Trying to build proj…
Read full README on GitHub →

Related ai & ml servers