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, se
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请阅读 https://ai.atlankj.com/install/asset/gh-learn-mcp-04a31f15e928 ,按照其中的说明把「learn-mcp」安装到你(当前 AI 工具)中。执行前先告诉我将运行的命令和写入的位置,等我确认。
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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.
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. |
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.
Before the first executable checkpoint, determine whether:
python3 --version succeeds.MCP-LEARNING.md in the current working
directory.When local files and Python 3 are available, use executable mode. Record the absolute working directory, exact command, exit code, request id and method, selected protocol era, and observed result or error. Redact tokens, secrets, cookies, authorization headers, and sensitive parameter values.
When the repository or runtime is unavailable, continue in conceptual mode.
Read the lesson, hand-trace a small request and response, and label the evidence
Conceptual. Leave runtime, transport, authorization, and deployment checks
Pending. Do not describe a hand trace as an executed pass.
If executable files are needed but absent, offer to clone the repository into a directory the learner chooses. Wait for confirmation before cloning. The conceptual lesson must remain available without a clone.
Use MCP-LEARNING.md in the current working directory. Do not put
this route in LEARNING.md and do not modify Agent Skills progress.
Before deciding that no state exists, handle the former filename safely:
MCP-LEARNING.md exists, use it. If
MCP-ENGINEERING-LEARNING.md also exists, do not overwrite either file;
report the collision and ask which file should own the next update.MCP-LEARNING.md is absent and MCP-ENGINEERING-LEARNING.md exists,
rename the legacy file to MCP-LEARNING.md in the same directory before
teaching. Preserve every learner note and evidence row byte for byte. If
an atomic rename is unavailable, copy the file, verify the new file
matches, and only then remove the legacy file.If the file exists, preserve all learner notes and evidence. Resume the first
row marked In progress or Next. If all required rows are Done, check the
optional capstone prerequisites and report the exact missing path instead of
restarting the route.
If the file does not exist, create it without a placement quiz:
# My Model Context Protocol (MCP) Path
<!-- Managed by the learn-mcp tutor.
Source: learning-paths/model-context-protocol.json -->
## Route
- Started: <YYYY-MM-DD>
- Required time: about 23 hours 15 minutes
- Current: 1 of 17
- Evidence mode: Executable or Conceptual
## Environment
- Repository files: Available or Pending
- Python 3: Confirmed or Pending
- TypeScript runner for Lesson 07: Optional, Confirmed, or Pending
- Working directory: <absolute path>
## Public deployment gate
- Lesson 15 executable checkpoint: Pending
- Threat model reviewed: Pending
- External target and authority confirmed: Pending
## Progress
| Order | Lesson | Status | Evidence | Completed |
|---:|---|---|---|---|
| 1 | 13/06 MCP fundamentals | Next | | |
| 2 | 13/07 MCP server | Locked | | |
| 3 | 13/08 MCP client | Locked | | |
| 4 | 13/09 MCP transports | Locked | | |
| 5 | 13/10 Resources and prompts | Locked | | |
| 6 | 13/11 Model input and MRTR | Locked | | |
| 7 | 13/12 Explicit scope and elicitation | Locked | | |
| 8 | 13/13 Durable tasks | Locked | | |
| 9 | 13/14 MCP Apps | Locked | | |
| 10 | 13/15 MCP security | Locked | | |
| 11 | 13/16 MCP authorization | Locked | | |
| 12 | 13/18 Production auth | Locked | | |
| 13 | 13/17 Gateways and registries | Locked | | |
| 14 | 13/28 Tool contracts and content | Locked | | |
| 15 | 13/29 Reliability and flow control | Locked | | |
| 16 | 13/30 Registry supply chain | Locked | | |
| 17 | 13/31 Conformance engineering | Locked | | |
## Wire evidence
| Date | Lesson | Mode | Request or scenario | Observed result | Command, cwd, exit |
|---|---|---|---|---|---|
## Notes
Check facts that can be observed locally. Ask only for choices or authority that cannot be inferred safely.
On the first invocation, begin the lesson immediately. From the repository root, run:
python3 phases/13-tools-and-protocols/06-mcp-fundamentals/code/main.py
Ask the learner to identify the repeated protocol version and client
capabilities, the complete server/discover result, error -32022, and the
absence of protocol-session creation or teardown. Record those observations
before expanding into the rest of Lesson 06.
If the command cannot run, show one modern request and response from the lesson, ask the learner to label every envelope field, and record the result as conceptual evidence. Keep the command checkpoint pending.
Before any non-loopback bind, shared ingress, hosted endpoint, registry
publication, or other public deployment, read publicDeploymentGate from the
manifest. Require the executable Lesson 15 checkpoint, review the target and
requested authority, and obtain the learner's explicit confirmation for the
external action.
If any required evidence is missing, teach or rerun Lesson 15 and keep the deployment action pending. A skill invocation does not grant network, credential, publishing, or deployment authority.
In progress. State its manifest path, duration,
group, protocol era, and evidence mode.checkpointEvidence. Runtime
evidence must come from observed output. Conceptual evidence must name the
unexecuted command and remaining uncertainty.post quiz item one at a time. If the quiz has no staged items,
ask all items. Do not reveal correct, an answer index, or an explanation
before the learner responds. Never put a real answer letter or the answer
distribution in a reply hint; use Reply with one letter: <A|B|C|D>.Done only after the lesson checkpoint and quiz. Append one
compact Wire evidence row, add the score to Notes, set the next row to
Next, and update Current.Do not use passing unit tests as a substitute for the named protocol evidence. Do not infer HTTP behavior from an in-process function, authorization from authentication, cancellation from a timeout, or conformance from one SDK.
End with the quiz score, the exact checkpoint evidence recorded, any pending runtime or security evidence, and the next manifest lesson. Keep the learner on this route unless they ask to leave it.