GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
Beschreibung vom Entwickler (englisches Original)
RoastPilot controls coffee roasting sessions through local stdio MCP tools and exports logs.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"coffee-roaster": {
"command": "uvx",
"args": [
"coffee-roaster-mcp",
"serve"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add coffee-roaster -- uvx coffee-roaster-mcp serveIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"coffee-roaster": {
"command": "uvx",
"args": [
"coffee-roaster-mcp",
"serve"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"coffee-roaster": {
"type": "stdio",
"command": "uvx",
"args": [
"coffee-roaster-mcp",
"serve"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 8. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto syamaner bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.2.4) kam vor 25 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv) auf deinem Computer.
In derselben Kategorie: GitHub, Desktop Commander, Cloudflare MCP
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:↓ Downloads pro Wochei★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
RoastPilot is an MCP server for coffee-roaster telemetry and controlled actuation.
The package name is coffee-roaster-mcp. It is published on production PyPI and listed in the MCP Registry as io.github.syamaner/coffee-roaster-mcp.
RoastPilot provides one local MCP runtime for roaster control, telemetry, first-crack detection integration, roast metrics, and log export.
✅ v0.1 component scope complete, published on PyPI and in the MCP Registry, and exercised in supervised agent-controlled hardware roasts through 2026-08-16.
The latest integrated evidence is two completed Hottop roasts on 2026-08-16. Together they exercised live telemetry and control, automatic T0, first-crack handling, post-first-crack decisions, safety evaluation, advisor-triggered drop, operator-controlled cooling completion, ambient sensing, log export, and paired-microphone capture. The agent ledger recorded 19 successful advisor decisions, each linked to an allow safety evaluation; both advisor-proposed drops were executed, with no failed command events or safety alerts in either completed run.
Those roasts used the pinned coffee-roaster-mcp 0.1.13 runtime. Versions 0.1.14-0.1.16 were metadata/docs releases. Public PyPI metadata lists 0.2.3, and the matching release workflow reports successful PyPI and MCP Registry publication; the current live MCP Registry listing is not independently checked. Those are public metadata and workflow observations, not independent verification of public artefact bytes, contents, tag provenance, or installed bytes.
The repository's 0.2.3 candidate record includes D209's typed cold-only temperature and packet projection alongside #222's roast-fan-only cold-session get_roast_state observation, and PR #231's stopped-fault exact-session recovery semantics. The #222 observation reports commanded roast-fan state only. The D209 projection reports telemetry, packet validity and counters, and raw and typed temperature information. Packet progress screening is an Agent comparison between observations, not a continuous freshness or link watchdog. Those source records and publication observations do not prove physical actuation, calibration, accuracy, continuous freshness, link health, readiness, or safety. Issue #225 remains open for release-process reconciliation; issue #227 is closed for the D209 software projection.
Relative to public current-tag source 3e40487686880825f93ae2015cc4253d9183623b, the only new runtime content in 0.2.4 is S1's deferred local SciPy symmetric-Hann-window import. Numerical output and interfaces are unchanged. A version string, wheel name, or declared command-line digest does not attest which bytes the intended interpreter imports. Verifying installed bytes is a separate, operator-authorised gate that this documentation does not perform or claim for either distribution. 0.2.4 preparation is complete only up to the merged head and a successful non-publishing dry run; tag creation, protected release environment approval, publication, and live artefact verification remain human-operator actions. It does not authorise hardware, beans, or a readiness claim. A successful non-publishing dry run must be recorded after merge; no pending dry-run success is asserted here.
This packaged README Status is a preparation-time snapshot. It records the current source and public-metadata observations above, and makes no current publication claim for 0.2.4.
D191's ratified limits remain N = 1 and X = 200 ms; the production fatal streak remains 30. D190 was MCP-only component characterisation with artificial music: zero observed overflow does not establish headroom for other conditions or prove the non-zero allowance necessary; sanitised review did not rehash private evidence, and it is not detector, live-roast, full-stack, or combined acceptance. D192 full-stack 30+30 and separate supervised >=20-minute live roast remain outstanding. #157 and #194 remain open. Publication remains operator-only after merge, a successful release-workflow dry run, and protected-environment approval. See the 2026-08-16 agent-roast validation report for the authority-ledger, session, ambient, and capture evidence, including its provenance limits.
The original published-package baseline remains the 2026-06-07 validation:
The published coffee-roaster-mcp 0.1.3 package, installed through the MCP Registry uvx path into the Warp agent, ran two complete supervised roasts on a connected Hottop KN-8828B-2K+ with zero serial, control, or telemetry faults:
| Validated | Result |
|---|---|
| Install path | Published PyPI 0.1.3 via uvx in a real MCP client (Warp) |
| Hardware control | Live heat/fan/drop/cooling through the driver-backed MCP tools |
| Automatic T0 | beans_added detected from the bean-temperature charge drop (source: auto_t0) |
| First-crack detection | Audio-detected live by the released INT8 ONNX model on a real USB microphone — sliding-window confirmation, confidence 0.907 over the 0.6 threshold with 5/5 positive windows |
| Safety actions | Same-day guarded hottop-validate run passed 8/8 steps, including drop and emergency stop |
| Log export | roast.jsonl, roast.csv, and summary.json with full first-crack and auto-T0 metadata |
Evidence:
See the v0.1 overall plan and the project state registry for the plan and state history.
The current coffee-roaster-mcp package is a consolidated rebuild of the prototype with the lessons learned folded into one deterministic local MCP server, conservative hardware boundaries, and releaseable package metadata.
RoastPilot is the human-facing product name. coffee-roaster-mcp is the infrastructure and packaging name used for the repository, Python package, and published distribution.
The v0.1 scope is one local stdio MCP server that owns:
All MCP-component v0.1 epics are complete and live-validated. The package scaffold, config loading, local development commands, pull-request CI, stdio MCP entrypoint, roast-session tool surface, Hottop driver, audio first-crack runtime, automatic T0 path, metrics/log export, release workflow, and MCP Registry metadata are in place, and the full end-to-end path has been verified on connected Hottop hardware with a real microphone through the published package (E7-S6).
For local development today:
python3.11 -m venv .venv
source .venv/bin/activate python -m pip install --upgrade pip python -m pip install -e . --group dev
The user-facing install target is the published coffee-roaster-mcp package:
python -m pip install coffee-roaster-mcp
For operator setup, including mock install, Hottop configuration, Hugging Face model configuration, offline model paths, and log output paths, see the install and hardware setup guide.
Use the commands in the Install section, then continue with the checks below.
python -m pytest
python -m pytest --cov=coffee_roaster_mcp --cov-report=term-missing:skip-covered --cov-report=html:htmlcov --cov-report=json:coverage.json
python .github/scripts/write_coverage_summary.py coverage.json
Pull-request CI publishes a Markdown coverage summary in the Checks job summary and uploads html-coverage-report as a workflow artifact for file-by-file drill-down.
python -m ruff check .
python -m ruff format --check .
python -m pyright
coffee-roaster-mcp --help
coffee-roaster-mcp --version
Two explicit pre-roast checks cover the configured microphone and independent multi-device recording paths without starting a roast:
coffee-roaster-mcp mic-check --config coffee-roaster-mcp.yaml
coffee-roaster-mcp record-check --config coffee-roaster-mcp.yaml
mic-check reports whether the selected input contains a real signal and can write a small JSON evidence record. record-check captures each configured recording device into a temporary or explicit output directory and reports the result. The resulting audio may contain ambient conversation and must not be committed.
The default local path is intentionally mock-safe:
mockdisabledRoastPilot now provides a local stdio MCP server entrypoint with a mock-safe roast-session tool surface. The default configuration lets an MCP client start a roast, adjust controls, read current device and session state, record explicit override events, drop beans into cooling, and export snapshot logs without roaster hardware, microphone input, model files, or network access.
coffee-roaster-mcp serve
The current MCP tool surface includes:
get_server_infoget_runtime_configstart_roast_sessionget_roast_stateset_heatset_fanmark_beans_addedmark_first_crackdrop_beansstart_coolingstop_coolingexport_roast_logemergency_stopset_recording_metadatafinalise_cold_characterisation_sessionget_roast_state.cold_characterisation_observation is meaningful only for a purpose="cold_characterisation" session; consumers must gate on session_purpose. It reports the commanded roast-fan level as a typed, read-only observation. It is neither physical, link, nor freshness proof, and is not atomic with device_state; it does not duplicate heat, main-fan, or cooling state.
finalise_cold_characterisation_session is a non-actuating teardown tool for an active, latest session started with purpose="cold_characterisation"; it is not for normal roasts. It only admits known connected safe-zero drive
Nur der Anfang wird gezeigt; den Rest findest du im Repo