Day 1 — Claude Code Mastery & Context Engineering

Lab 01: Project Manager MCP Server

This repository is a submission-ready implementation of the Day 1 MCP lab.

It contains:

• A Python MCP server exposing exactly 3 tools:

  • create_task

  • list_tasks

  • update_task

• SQLite persistence

• Local stdio transport

• Remote SSE transport for Railway/Render

• Claude Code integration via .mcp.json

• A .claude/ configuration with permissions, commands, and an auto-test hook

• A concise project CLAUDE.md

• Automated database tests

• Deployment configuration

• Demo/evidence walkthrough

• Context-engineering workshop notes

• Optional extension design notes

Related MCP server: Task Manager MCP Server

Quick Start

1. Install dependencies

uv sync

2. Run tests

uv run pytest -q

3. Configure Claude Code

Generate .mcp.json using the current absolute project path:

uv run python scripts/configure_mcp.py

Verify:

claude mcp list

4. Start/use with Claude Code

Open Claude Code in this repository and try:

1. Create a task called "Set up CI/CD pipeline" with high priority

2. List all tasks

3. Update task 1 to in_progress

4. Show me all high priority tasks that are still todo

Remote SSE Deployment

The lab specifically asks for SSE deployment. Run locally with:

uv run python server_sse.py

Endpoints:

• GET /sse

• POST /messages/

For Railway:

railway login
railway init
railway up

Set DB_PATH in the Railway environment.

Important Evidence Step

The source lab requires a recorded demo or screenshot walkthrough and end-to-end testing in Claude Code. This repository prepares the full implementation and an evidence checklist, but you still need to run Claude Code and capture the final screenshots/video in your own authenticated environment.