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作者による説明(英語の原文)
RoastPilot controls coffee roasting sessions through local stdio MCP tools and exports logs.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"coffee-roaster": {
"command": "uvx",
"args": [
"coffee-roaster-mcp",
"serve"
]
}
}
}ターミナルでこれを実行します
claude mcp add coffee-roaster -- uvx coffee-roaster-mcp serveプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"coffee-roaster": {
"command": "uvx",
"args": [
"coffee-roaster-mcp",
"serve"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"coffee-roaster": {
"type": "stdio",
"command": "uvx",
"args": [
"coffee-roaster-mcp",
"serve"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月8日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント syamaner で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.2.4)がレジストリに届いたのは26 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにPython (uv)も必要です。
同じカテゴリには:GitHub, Desktop Commander, Cloudflare MCP
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:↓ 週あたりのダウンロードi★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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
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