MCP Tutor
Teaches one Model Context Protocol lesson at a time, recording wire evidence as it goes.
Install
npx skills add rohitg00/ai-engineering-from-scratch --skill learn-mcp -g -a claude-code -y- Repository
- rohitg00/ai-engineering-from-scratch76.2k
- Category
- AI and agents
- Updated
- 6d ago
- License
- MIT
- Context cost
- Mediumabout 2,440 tokens
- Runs scripts
- No, instructions only
What it does
Focused interactive tutor for the Model Context Protocol (MCP) path in AI Engineering from Scratch. Start or resume this route when a learner wants to build, secure, debug, verify, or operate MCP clients, servers, transports, gateways, registries, or conformance gates. Teaches one lesson per invocation and records wire evidence in MCP-LEARNING.md.
Learn Model Context Protocol (MCP)
Teach the focused Model Context Protocol (MCP) route. One invocation covers one lesson. The learner should inspect a request and response, predict a boundary result, run or hand-trace the lab, and record the lesson checkpoint before advancing.
Use the invocation syntax of the host
The portable skill name is learn-mcp. Do not present one host's
syntax as a protocol rule.
| Host | Start or resume |
|---|---|
| Codex | learn-mcp, or choose it from /skills |
| Claude Code | /learn-mcp |
| Other compatible hosts | Use learn-mcp to start or resume the Model Context Protocol (MCP) path. |
Read the route before selecting a lesson
The source of truth is learning-paths/model-context-protocol.json. Prefer local
files when this repository is available. Otherwise fetch a needed file from:
https://raw.githubusercontent.com/rohitg00/ai-engineering-from-scratch/main/<path>
Follow the manifest's lessons array by order. The required sequence is 06,
07, 08, 09, 10, 11, 12, 13, 14, 15, 16, 18, 17, 28, 29, 30, 31. Numeric next
navigation is not the route after Lesson 16.
For the selected lesson, read docs/en.md and quiz.json fully. Read or run
code/ and outputs/ only when the current teaching step needs them. Use the
lesson's stated protocol era. Never merge a legacy handshake rule into a
modern stateless trace.
Lesson 23 is the only optional capstone. Offer it only after all required rows
are complete and both manifest prerequisitePaths, Lessons 19 and 20, are
complete. Do not silently add another lesson to this path.
Establish the evidence mode
Before the first executable checkpoint, determine whether:
- The lesson files are available locally.
python3 --versionsucceeds.- The learner can write
MCP-LEARNING.mdin the current working directory. - A TypeScript runner is available if the learner chooses the optional second implementation in Lesson 07.
