Files
Schulcloud-MCP/docs/PI.md
MechaCat02 bfccb3f343 Pull the server image on the Pi instead of building it
The Pi now runs registry.mc02.dev/schulcloud-mcp. Its compose file `!reset`s
the build section docker-compose.yml declares, so no `docker compose` command
there can fall back to building (Compose 2.24 or later). SCHULCLOUD_MCP_TAG
pins a commit's image; unset, the Pi follows `latest`.

`npm run publish-image` publishes from a development machine. It builds only a
clean working tree, so a commit tag names exactly that commit's code, for amd64
and arm64, tagged `latest` and with the short commit id. On an x86 machine
arm64 builds under QEMU, which the script checks for and explains rather than
registering unasked.

PI.md logs in to the registry, pulls and starts instead of building, and
updates by publishing and pulling. Rehearsed in a scratch compose project: the
image came from the registry, `up -d --build` built nothing, and the server
came up healthy with its database and no published ports.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-16 21:26:44 +02:00

419 lines
17 KiB
Markdown

# Setting up on the Raspberry Pi
A step-by-step guide from a Pi with Docker to a working claude.ai connector.
[DEPLOYMENT.md](DEPLOYMENT.md) explains *why* each piece is there; this page is
the order to do it in.
The Pi never builds the server. It pulls the image published to
`registry.mc02.dev`, built for arm64 and amd64 by `npm run publish-image` on a
development machine ([DEPLOYMENT.md](DEPLOYMENT.md#publishing-an-image)).
```
claude.ai ─┐ ┌──────────── Pi (home, always on) ─────────────┐
Claude Code├─HTTPS─▶ VPS ─TCP─▶ │ Caddy ─▶ schulcloud-mcp ─▶ schulcloud-thueringen.de
CLI ───────┘ (public IP, │ (TLS) └─ postgres (private network) │
your domain) └────────────────────────────────────────────────┘
```
## What you need
- **The Pi**, always on. More than two hours offline ends the Schulcloud
session, and only a new token from a browser revives it. A Pi 5 on 64-bit Raspberry Pi
OS is plenty; put Docker's data on an SSD rather than the SD card if you can,
since Postgres and the file mirror (about 1.3 GB on the current account) write
to it.
- **Docker Engine with the Compose plugin**, Compose 2.24 or later, on the Pi.
- **A login for `registry.mc02.dev`**, where the image is published.
- **Caddy running in a container on the Pi**, serving ports 80 and 443. This
server joins its Docker network; it opens no port of its own.
- **The VPS**, with a public IPv4 address, forwarding TCP ports 80 and 443 to the
Pi (step 7).
- **A hostname** in your domain — `mcp.example.org` below — whose `A` record
points at the VPS.
- **Your Schulcloud login**, for the first token, and a machine with the
`schulcloud` CLI (`npm link` in a checkout; see [CLI.md](CLI.md)).
## 1. Prepare the Pi
```bash
sudo apt update && sudo apt full-upgrade -y
curl -fsSL https://get.docker.com | sh
sudo usermod -aG docker "$USER" # then log out and back in
docker compose version # v2.24 or later
timedatectl # "System clock synchronized: yes"
docker login registry.mc02.dev
```
The clock matters: token expiry and TLS certificates are both judged by it. The
login is needed to pull, not only to push; Docker keeps it in
`~/.docker/config.json`.
## 2. Get the compose files
```bash
sudo mkdir -p /opt/schulcloud-mcp && sudo chown "$USER": /opt/schulcloud-mcp
git clone https://git.mc02.dev/fabi/Schulcloud-MCP.git /opt/schulcloud-mcp
cd /opt/schulcloud-mcp
```
Every command below runs in `/opt/schulcloud-mcp`. The checkout provides the
compose files, `.env.example` and the Caddy snippet; its source code is not built
here.
## 3. Configure
Find the Docker network your Caddy container is on:
```bash
docker ps --format '{{.Names}}' | grep -i caddy
docker inspect -f '{{range $k, $v := .NetworkSettings.Networks}}{{$k}} {{end}}' <caddy-container>
```
Create `.env`, readable by you alone, and add the Pi's settings with freshly
generated secrets — replace `<network>` with the name you just found:
```bash
cp .env.example .env && chmod 600 .env
sed -i '/^MCP_AUTH_TOKEN=$/d; /^DATABASE_URL=/d' .env
cat >> .env <<EOF
# --- the Pi ---
COMPOSE_FILE=docker-compose.yml:deploy/docker-compose.pi.yml
CADDY_NETWORK=<network>
POSTGRES_PASSWORD=$(openssl rand -hex 24)
MCP_AUTH_TOKEN=$(openssl rand -hex 32)
MCP_PATH_SECRET=$(openssl rand -hex 32)
INDEX_PERSONAL_FILES=true
# SCHULCLOUD_MCP_TAG=latest
EOF
```
What those lines do:
| Setting | |
|---|---|
| `COMPOSE_FILE` | Makes every `docker compose` command here use [`deploy/docker-compose.pi.yml`](../deploy/docker-compose.pi.yml), which runs the registry image — removing the build section, so nothing can be built here — joins Caddy's network and wires up the database. It also keeps `docker-compose.override.yml` out — that one is for local development and would publish ports and switch the crawl timer off. |
| `CADDY_NETWORK` | The network Caddy reaches this server on, by the name `schulcloud-mcp`. |
| `POSTGRES_PASSWORD` | The bundled Postgres, which sits on a private network with this server only. Hex, so it needs no escaping inside the connection URL. |
| `MCP_AUTH_TOKEN` | What Claude Code, the CLI and the `/token` page present. |
| `MCP_PATH_SECRET` | The secret path claude.ai uses until OAuth exists. |
| `INDEX_PERSONAL_FILES` | Also indexes your own files and handed-in work, including teachers' feedback. Optional. |
| `SCHULCLOUD_MCP_TAG` | Which published image to run. Unset means `latest`; a commit id such as `bac9130` pins it, so updates happen only when you change it. Optional. |
**Copy `MCP_AUTH_TOKEN` and `MCP_PATH_SECRET` into your password manager now**
you need both again in step 9, and neither is ever printed by the server:
```bash
grep -E '^(MCP_AUTH_TOKEN|MCP_PATH_SECRET)=' .env
```
## 4. The first Schulcloud token
1. Open a **private window** and log in to Schulcloud.
2. DevTools (F12) → *Application* (Firefox: *Storage*) → *Cookies* → the cookie
named `jwt` → copy its value.
3. Put it into `.env` as `TSC_JWT_COOKIE=<value>`.
4. **Close the private window.** Left open, it logs the token out about two hours
after login ([AUTH.md](AUTH.md) has the whole story).
This is the only time the token goes into `.env`. Later ones go in without a
restart (step 11).
## 5. Start the server
```bash
docker compose pull # the published image, and Postgres
docker compose up -d
docker compose ps
docker compose logs -f schulcloud-mcp
```
Nothing is built on the Pi: `pull` fetches the arm64 variant of the image, and
with the Pi file in place no `docker compose` command can fall back to a build.
Expect, within a few seconds:
```
[schulcloud-mcp] listening on 0.0.0.0:8080 — instance https://schulcloud-thueringen.de, auth enabled (plus secret MCP path), token from environment, 29 day(s) left, keepalive every 30min, index every 6h
[schulcloud-mcp] keepalive: session extended, 7200s (120 min) of budget left
```
- `auth DISABLED` means `MCP_AUTH_TOKEN` is empty. Stop and fix it.
- `keepalive: token rejected (401)` means the token is already dead: get a fresh
one (step 4) and hand it over with `schulcloud token set` once step 9 is done.
The index is empty, so the first full crawl starts on its own. It downloads every
course file once — about 15 minutes and 1.3 GB on the current account — and the
server answers normally meanwhile.
`docker compose ps` must show **no published ports** for either container.
## 6. Add the site to Caddy
Append [`deploy/Caddyfile.snippet`](../deploy/Caddyfile.snippet) to the Pi's
Caddyfile, with your hostname in place of `mcp.example.org`, then validate and
reload:
```bash
docker exec <caddy-container> caddy validate --config /etc/caddy/Caddyfile
docker exec <caddy-container> caddy reload --config /etc/caddy/Caddyfile
```
Keep the snippet's three easily-missed settings:
- `flush_interval -1`, or claude.ai's connection hangs without an error.
- The long timeouts, or a slow `search` is cut off.
- The `format filter` in `log`, which keeps the secret path out of the access log.
Caddy gets its certificate once DNS and the forwarding work (step 7). Watch for
it with `docker logs -f <caddy-container> | grep -i certificate`.
## 7. DNS and the VPS
**DNS:** an `A` record for `mcp.example.org` pointing at the VPS's public IPv4.
Publish no `AAAA` record unless the VPS forwards IPv6 as well.
**The forwarding must pass TCP through, untouched.** TLS has to end at Caddy on
the Pi. A VPS that terminates TLS itself, or proxies HTTP, sees every request
path — including the secret one — and may log it. Both ports are needed: 80 for
the certificate challenge, 443 for everything else.
If the VPS already forwards to the Pi, check how. On the VPS:
```bash
sudo ss -ltnp '( sport = :443 )'
```
No listening process is the good answer: the kernel forwards the packets, as in
the example below. An nginx `stream` block or HAProxy in `mode tcp` is also fine.
An nginx `http` server, a Caddy, or HAProxy in `mode http` on the VPS is not.
### Example: WireGuard and nftables
Skip this if your forwarding already passes TCP through. Otherwise, a minimal
tunnel with the VPS as `10.8.0.1` and the Pi as `10.8.0.2`. Create keys on each
machine with `umask 077; wg genkey | tee private.key | wg pubkey > public.key`.
On the VPS, `/etc/wireguard/wg0.conf`:
```ini
[Interface]
Address = 10.8.0.1/24
ListenPort = 51820
PrivateKey = <vps private key>
[Peer]
PublicKey = <pi public key>
AllowedIPs = 10.8.0.2/32
```
On the Pi, `/etc/wireguard/wg0.conf`:
```ini
[Interface]
Address = 10.8.0.2/24
PrivateKey = <pi private key>
[Peer]
PublicKey = <vps public key>
Endpoint = <vps public ip>:51820
AllowedIPs = 10.8.0.1/32
PersistentKeepalive = 25
```
Bring the tunnel up on both (`sudo apt install wireguard` first), and keep it up
across reboots:
```bash
sudo systemctl enable --now wg-quick@wg0
ping -c 3 10.8.0.1 # from the Pi
```
On the VPS, turn on forwarding and send ports 80 and 443 into the tunnel.
Replace `eth0` with the VPS's public interface (`ip route get 1.1.1.1` names it):
```bash
echo 'net.ipv4.ip_forward = 1' | sudo tee /etc/sysctl.d/99-forward.conf
sudo sysctl --system
```
```nft
# /etc/nftables.conf on the VPS (merge into what is there)
table ip schulcloud_forward {
chain prerouting {
type nat hook prerouting priority dstnat; policy accept;
iifname "eth0" tcp dport { 80, 443 } dnat to 10.8.0.2
}
chain postrouting {
type nat hook postrouting priority srcnat; policy accept;
oifname "wg0" ip daddr 10.8.0.2 tcp dport { 80, 443 } masquerade
}
}
```
```bash
sudo nft -c -f /etc/nftables.conf && sudo systemctl enable --now nftables
```
If the VPS's `forward` chain has `policy drop`, also accept `ct state
established,related` and new TCP 80/443 from `eth0` to `wg0`. Its firewall
needs 80/tcp, 443/tcp and 51820/udp open, plus SSH. With the masquerade, Caddy's
logs show the VPS's tunnel address as the client; nothing here relies on client
addresses.
Check from the VPS that the Pi's Caddy answers through the tunnel:
```bash
curl -sI http://10.8.0.2/ -H 'Host: mcp.example.org' | head -1 # a redirect to https
```
## 8. Check it from outside
From any machine that is not the Pi:
```bash
curl -s https://mcp.example.org/healthz
# {"status":"ok","sessions":0,"index":"on"}
curl -s -o /dev/null -w '%{http_code}\n' -X POST https://mcp.example.org/mcp \
-H 'content-type: application/json' -d '{}'
# 401 ← the bearer check
curl -s -o /dev/null -w '%{http_code}\n' -X POST https://mcp.example.org/$(openssl rand -hex 32)/mcp \
-H 'content-type: application/json' -d '{}'
# 404 ← a wrong path secret, answered like any unknown path
```
Then confirm that TLS really ends on the Pi: the certificate the world sees is
the one Caddy there obtained.
```bash
echo | openssl s_client -connect mcp.example.org:443 -servername mcp.example.org 2>/dev/null \
| openssl x509 -noout -issuer -enddate # from outside
docker logs <caddy-container> 2>&1 | grep -i 'certificate obtained' | tail -1 # on the Pi
```
## 9. Connect Claude and the CLI
**CLI**, on your laptop:
```bash
schulcloud login --server https://mcp.example.org --token <MCP_AUTH_TOKEN>
schulcloud token # expires … (29 day(s) left); session alive, 120 min budget; from TSC_JWT_COOKIE
schulcloud status # after the first crawl: generation 1 — crawled … min ago
```
**Claude Code**, replacing the registration that points at the laptop:
```bash
claude mcp remove --scope user schulcloud
claude mcp add --transport http --scope user schulcloud https://mcp.example.org/mcp \
--header "Authorization: Bearer <MCP_AUTH_TOKEN>"
claude mcp list # schulcloud: https://mcp.example.org/mcp (HTTP) - ✔ Connected
```
**claude.ai:**
1. *Customize → Connectors → Add custom connector*.
2. Name: `Schulcloud`. URL: `https://mcp.example.org/<MCP_PATH_SECRET>/mcp`. No sign-in.
3. In a chat: **+ → Connectors** → switch *Schulcloud* on, and ask *"Welche Kurse
habe ich?"*
The URL is the credential for as long as the secret path is in use: keep it out
of screenshots and notes. [DEPLOYMENT.md](DEPLOYMENT.md#claudeai--a-secret-path-for-now)
says what that trades away.
**Retire the laptop's container** once the Pi answers — in the laptop checkout,
`docker compose down` keeps its index and mirror volumes. Its session is separate
and simply lapses.
## 10. Verify the first crawl
```bash
docker compose logs schulcloud-mcp | grep 'scheduled crawl'
# [schulcloud-mcp] scheduled crawl: generation 1, 1030 files, … newly extracted, …s
```
A second crawl runs every six hours and downloads only what is new.
## 11. The monthly token
The token lasts 30 days. From a week before, the log, `whoami` and
`schulcloud token` warn. Replacing it takes a minute and no restart:
1. Private window → log in → copy the `jwt` cookie (as in step 4).
2. `schulcloud token set` and paste it — or open `https://mcp.example.org/token`
and paste it there with `MCP_AUTH_TOKEN`.
3. Close the private window.
The server checks the token with Schulcloud before using it, restarts the
keepalive, and saves it in the `state` volume, where it outlives restarts and
takes precedence over the older one in `.env`.
The same steps revive a session that lapsed — after a power cut of more than two
hours, say.
## Updating
A new version is published first, from a development machine:
`npm run publish-image` ([DEPLOYMENT.md](DEPLOYMENT.md#publishing-an-image)).
Then, on the Pi:
```bash
cd /opt/schulcloud-mcp
git pull # compose files and docs
docker compose pull # the newly published image
docker compose up -d
docker compose logs --tail 20 schulcloud-mcp
```
`COMPOSE_FILE` in `.env` keeps applying the Pi settings. Recreating the container
keeps the database, the mirror and a replaced token, all of which live in volumes.
With `SCHULCLOUD_MCP_TAG` pinned, set it to the new commit id before pulling.
Going back works the same way: set the previous commit id, then `pull` and
`up -d`.
## Backups
| What | Needed? |
|---|---|
| `.env` | **Yes** — it holds every secret. Only ever back it up encrypted. |
| Postgres | Optional: a crawl rebuilds it. `docker compose exec postgres pg_dump -U schulcloud schulcloud \| gzip > index.sql.gz` |
| `schulcloud-mcp_mirror` | No — re-downloaded by the next crawl. |
| `schulcloud-mcp_state` | No — a replaced token, expiring within 30 days anyway. |
## Troubleshooting
| Symptom | Likely cause | Fix |
|---|---|---|
| `keepalive: token rejected (401)` | The session ended: the Pi was off for more than two hours, a Schulportal tab was left open, or 30 days passed | Step 11 |
| 401 about two hours after pasting a token | A Schulportal tab still open on that login | Close it, then step 11 |
| claude.ai cannot add the connector | DNS, forwarding or certificate not in place, or a wrong secret (404) | Step 8's checks, in order |
| claude.ai connects, then tools hang | `flush_interval -1` missing from the Caddy site | Step 6 |
| `/mcp` answers 401 with the right token | Whitespace copied along with the token | Re-copy it |
| Caddy never obtains a certificate | Port 80 not forwarded, or DNS not yet pointing at the VPS | Step 7 |
| `network … declared as external, but could not be found` | Wrong `CADDY_NETWORK` | Step 3 |
| `required variable … is missing a value` | A line missing from `.env` | Step 3 |
| `unauthorized` or `pull access denied` from `docker compose pull` | Not logged in to the registry on the Pi | `docker login registry.mc02.dev` |
| `no matching manifest for linux/arm64` | The image was published for amd64 only | Publish again with `npm run publish-image`, which builds both |
| Compose rejects `!reset` in `deploy/docker-compose.pi.yml` | Compose older than 2.24 | Update Docker (step 1) |
| `EACCES` for `/data/state` or `/data/mirror` in the logs | A volume created by an old image, owned by root | `docker compose down`, `docker volume rm schulcloud-mcp_state` (or `_mirror`), `docker compose up -d` |
## Security checklist
- `.env` is mode 600 and in no unencrypted backup.
- `docker compose ps` shows no published ports for `schulcloud-mcp` or `schulcloud-mcp-db`.
- The registry login in `~/.docker/config.json` is only base64-encoded. Keep the
Pi user's home private, and use an account that may only pull if your
registry can issue one.
- The VPS forwards raw TCP and opens only 80, 443, 51820/udp and SSH.
- The secret path stays out of Caddy's access log — this prints a count, never
the secret:
```bash
docker exec <caddy-container> grep -c "$(grep '^MCP_PATH_SECRET=' .env | cut -d= -f2)" /var/log/caddy/schulcloud-mcp.log
# 0
```
- If the claude.ai URL may have leaked: set a new `MCP_PATH_SECRET`, run
`docker compose up -d --force-recreate schulcloud-mcp`, and re-add the connector.