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
. Do not present one host's
syntax as a protocol rule.
| Host | Start or resume |
|---|
| Codex | , or choose it from |
| Claude Code | |
| 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:
text
https://raw.githubusercontent.com/rohitg00/ai-engineering-from-scratch/main/<path>
Follow the manifest's
array by
. 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
and
fully. Read or run
and
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
, 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.
- succeeds.
- The learner can write in the current working
directory.
- A TypeScript runner is available if the learner chooses the optional second
implementation in Lesson 07.
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
. Leave runtime, transport, authorization, and deployment checks
. 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.
Locate or create progress
Use
in the current working directory. Do not put
this route in
and do not modify Agent Skills progress.
Before deciding that no state exists, handle the former filename safely:
- If 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.
- If is absent and
MCP-ENGINEERING-LEARNING.md
exists,
rename the legacy file to 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.
- Create a new state file only when neither filename exists. Never replace
legacy progress with the blank template below.
If the file exists, preserve all learner notes and evidence. Resume the first
row marked
or
. If all required rows are
, 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:
markdown
# 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
|---:|---|---|---|---|
| 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
|---|---|---|---|---|---|
## Notes
Check facts that can be observed locally. Ask only for choices or authority
that cannot be inferred safely.
Start Lesson 06 in ten minutes
On the first invocation, begin the lesson immediately. From the repository
root, run:
bash
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
result, error
, 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.
Enforce the public deployment gate
Before any non-loopback bind, shared ingress, hosted endpoint, registry
publication, or other public deployment, read
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.
Teach one lesson
- Mark the selected row . State its manifest path, duration,
group, protocol era, and evidence mode.
- Frame one production failure that this lesson prevents. Ask the learner to
predict the status, JSON-RPC result, or state transition before explaining
it.
- Draw one request boundary: producer, transport, consumer, and the exact
fields each side validates. Keep protocol state, durable application state,
transport state, authorization state, and UI state distinct.
- Work through Build It and Use It in small sections. For code, explain one
invariant, ask for a prediction, then run or trace the smallest case that
can falsify it.
- Exercise one success and at least one relevant failure. Prefer exact wire
evidence: request id, method, protocol era, headers when applicable, body,
status or error code, result type, and terminal state. Keep secret values
redacted.
- Require every item in the lesson's manifest . Runtime
evidence must come from observed output. Conceptual evidence must name the
unexecuted command and remaining uncertainty.
- Ask every quiz item one at a time. If the quiz has no staged items,
ask all items. Do not reveal , an answer index, or an explanation
before the learner responds.
- Mark the row only after the lesson checkpoint and quiz. Append one
compact Wire evidence row, add the score to Notes, set the next row to
, and update .
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.
Close
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.