RoastPilot

RoastPilot is a spec-driven MCP server for autonomous coffee roasting.

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.

Status

✅ v0.1 complete — verified end-to-end on real hardware (2026-06-07).

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:

• Roast-day validation report (formal pass/fail analysis, both roasts)
• Roast #1 test summary and Roast #2 auto-validation summary (timelines, metrics, screenshots)
• Committed artifacts (roast logs, guarded-validation JSON, transcripts, screenshots, checksums)

See the v0.1 overall plan and the project state registry for the plan and state history.

Related Project Artifacts

• Current architecture article: The Architecture: The Agent-Spec Driven ML Development With Warp
• Original prototype intro: Training a Neural Network to Detect Coffee First Crack from Audio
• Original prototype MCP post: Building MCP Servers to Control a Home Coffee Roaster
• First-crack model: syamaner/coffee-first-crack-detection
• First-crack dataset: syamaner/coffee-first-crack-audio
• First-crack demo: Coffee First-Crack Detection Space

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.

What RoastPilot Is

RoastPilot is the human-facing product name. coffee-roaster-mcp is the infrastructure and packaging name used for the repository, Python package, and future distribution.

The v0.1 scope is one local stdio MCP server that owns:

• roaster control
• roast session timing and events
• first-crack detection integration
• derived roast metrics
• roast log export

All 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).

Install

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.

Local Development

Setup

Use the commands in the Install section, then continue with the checks below.

Test

python -m pytest

Coverage

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.

Lint

python -m ruff check .

Format Check

python -m ruff format --check .

Typecheck

python -m pyright

CLI Smoke

coffee-roaster-mcp --help
coffee-roaster-mcp --version

Local Mock Run

The default local path is intentionally mock-safe:

• default roaster driver: mock
• default first-crack mode: disabled
• no roaster hardware required
• no microphone required
• no model download required

RoastPilot 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.

Start The Local MCP Server

coffee-roaster-mcp serve

The current MCP tool surface includes:

• get_server_info
• get_runtime_config
• start_roast_session
• get_roast_state
• set_heat
• set_fan
• mark_beans_added
• mark_first_crack
• drop_beans
• start_cooling
• stop_cooling
• export_roast_log
• emergency_stop

export_roast_log writes roast.jsonl, roast.csv, and summary.json files for the current in-process session. Runtime events and sampled telemetry are also appended to roast.jsonl during the roast.

Operational MCP Flow

The mock-safe Claude/operator flow is:

1. Call start_roast_session to create the one active roast session and connect the configured driver.
2. Call set_heat and set_fan as operational decisions require. These tools go through the configured RoasterDriver boundary; the default mock driver stays local and deterministic.
3. Call get_roast_state to read both the authoritative session state and the current configured-device state. The response includes driver id, connected status, bean/environment temperatures when available, heat/fan levels, cooling state, safe raw diagnostics, T0 status, first-crack status, and lifecycle timestamps for beans added, first crack, bean drop, cooling started, and cooling stopped.
4. Use drop_beans as the normal drop command. For the mock path and the Hottop compound drop path, this records beans_dropped, records cooling_started when the driver reports cooling active, turns heat off, sets fan to 100%, and enters the cooling phase.
5. Use stop_cooling when cooling is complete. start_cooling remains available as an explicit advanced/manual recovery tool, not as the normal roast flow after drop_beans.

mark_beans_added and mark_first_crack are explicit override tools. They are kept available for operator recovery and controlled manual runs. The primary automatic runtime paths are internal: automatic T0 detection can record beans_added when session.auto_t0_detection_enabled is enabled, and audio-mode first-crack confirmation is owned by the session-owned first-crack runtime when first_crack.mode: audio is deliberately configured.

Automatic T0 is disabled by default. When enabled, get_roast_state reads the configured driver, tracks the max preheat bean temperature before T0, and records beans_added when the current bean temperature drops from that max by session.auto_t0_drop_threshold_c. get_roast_state.t0_status exposes the configured threshold, tracked charge temperature, current drop, and detected bean temperature when automatic T0 records the event.

get_roast_state.first_crack_status.status is one of:

• disabled: first-crack detection is disabled and no first-crack event exists.
• manual: manual first-crack mode is configured and the override tool is available.
• pending: audio detection is configured and waiting for a confirmed event.
• detected: the authoritative session timeline has a first-crack event.
• faulted: the detector runtime or session has faulted.
• unavailable: configuration, artifacts, audio capture, or manual-override settings make first-crack detection unavailable.

Mock-Safe Bootstrap Smoke

Use this mock-safe bootstrap smoke to confirm the default local path stays hardware-free and model-free from a guaranteed-empty temporary directory:

python -c "import os, tempfile; from coffee_roaster_mcp.config import load_config; tmp = tempfile.TemporaryDirectory(); os.chdir(tmp.name); c = load_config(environ={}); print(c.roaster.driver, c.first_crack.mode, c.first_crack.precision); tmp.cleanup()"

Expected output:

mock disabled int8

This confirms the bootstrap defaults are still aligned with the mock vertical-slice plan.

Hottop Configuration And Validation

The concise setup path is in the install and hardware setup guide; this section summarizes the guarded validation workflow.

Hottop support lives behind the RoasterDriver abstraction. The driver has lifecycle, command-loop, packet, control-state, and temperature-unit support, and has passed the full guarded validation (including drop and emergency stop) on connected hardware — most recently on 2026-06-07 against the published 0.1.3 PyPI package, followed by two complete supervised live roasts through the MCP tool surface. Guarded manual validation remains the required procedure before operating any new hardware setup.

Configuration lives in coffee-roaster-mcp.yaml. Keep local development on the mock driver unless you are intentionally validating connected Hottop hardware:

roaster:
  driver: mock
  port: null
  baudrate: 115200
  temperature_unit: celsius
  command_interval_seconds: 0.3

For guarded hardware validation, switch driver to hottop_kn8828b_2k_plus, set the serial port explicitly, and run the validation harness with an evidence output path:

coffee-roaster-mcp hottop-validate \
  --config coffee-roaster-mcp.yaml \
  --output docs/validation/hottop-e3-s9-non-destructive.json \
  --i-understand-this-controls-hardware

The irreversible and safety-action checks are opt-in:

coffee-roaster-mcp hottop-validate \
  --config coffee-roaster-mcp.yaml \
  --output docs/validation/hottop-e3-s9-full.json \
  --i-understand-this-controls-hardware \
  --include-drop \
  --include-emergency-stop

Hardware safety matters here: command-loop cadence, packet handling, temperature units, drop behavior, cooling behavior, emergency stop, and cleanup must be validated on a supervised roaster before the Hottop path is treated as release-ready. The current MCP roast-session tools call the configured driver boundary, so keep normal development on the mock driver unless a guarded Hottop validation run is explicitly intended.

Optional live Hottop MCP validation is gated manual work. Run it only with a supervised roaster, an explicit hottop_kn8828b_2k_plus config, a known serial port, and a clear stop plan. Expected evidence for a pass is: the MCP client can start one session, set heat and fan, read connected device state with plausible temperatures, call drop_beans to trigger drop plus cooling, read beans_dropped and cooling_started timestamps from get_roast_state, stop cooling when the roaster reports cooling off, and preserve any failure as a fault event. Any serial, telemetry, command-loop, or safety uncertainty should be treated as a failed validation and should not be required by normal CI.

Configuration

RoastPilot loads configuration from coffee-roaster-mcp.yaml in the current directory by default. If the file is absent, mock-safe defaults are used so local development does not require roaster hardware, audio hardware, or model downloads.

See the install and hardware setup guide for setup-focused examples covering mock install, Hottop configuration, Hugging Face model configuration, offline model paths, and log output paths.

transport:
  type: stdio

roaster:
  driver: mock
  port: null
  baudrate: 115200
  temperature_unit: celsius
  command_interval_seconds: 0.3

first_crack:
  mode: disabled
  repo_id: syamaner/coffee-first-crack-detection
  revision: null
  precision: int8
  local_model_dir: null
  onnx_threads: 2
  confidence_threshold: 0.9
  min_positive_windows: 1
  confirmation_window_seconds: 20.0
  allow_manual_override: true

audio:
  source: microphone
  input_device: null
  sample_rate: 16000
  wav_path: null
  replay_mode: realtime
  window_seconds: 1.0
  overlap: 0.0
  hop_seconds: null

logging:
  log_dir: ./logs
  sample_interval_seconds: 5.0
  export_formats:
    - jsonl
    - csv
    - summary

session:
  auto_t0_detection_enabled: false
  auto_t0_drop_threshold_c: 25.0
  ror_window_seconds: 60
  ror_min_sample_seconds: 10

Supported environment overrides:

• COFFEE_ROASTER_MCP_CONFIG
• COFFEE_ROASTER_DRIVER
• COFFEE_ROASTER_PORT
• COFFEE_ROASTER_TEMP_UNIT
• COFFEE_FIRST_CRACK_MODE
• COFFEE_FIRST_CRACK_REPO_ID
• COFFEE_FIRST_CRACK_REVISION
• COFFEE_FIRST_CRACK_PRECISION
• COFFEE_FIRST_CRACK_LOCAL_MODEL_DIR
• COFFEE_FIRST_CRACK_ONNX_THREADS
• COFFEE_FIRST_CRACK_CONFIDENCE_THRESHOLD
• COFFEE_FIRST_CRACK_MIN_POSITIVE_WINDOWS
• COFFEE_FIRST_CRACK_CONFIRMATION_WINDOW_SECONDS
• COFFEE_AUDIO_SOURCE
• COFFEE_AUDIO_INPUT_DEVICE
• COFFEE_AUDIO_SAMPLE_RATE
• COFFEE_AUDIO_WAV_PATH
• COFFEE_AUDIO_REPLAY_MODE
• COFFEE_AUDIO_WINDOW_SECONDS
• COFFEE_AUDIO_OVERLAP
• COFFEE_AUDIO_HOP_SECONDS
• COFFEE_ROAST_LOG_DIR
• COFFEE_AUTO_T0_DROP_THRESHOLD_C
• HF_HOME

audio.source can be microphone or wav. Microphone capture uses a PortAudio-backed sounddevice stream and keeps the configured device identifier behind the audio-input boundary for macOS, Linux, and Raspberry Pi hosts. WAV replay uses PCM .wav files, converts channels to the same mono float sample contract as microphone capture, and requires the file sample rate to match audio.sample_rate. WAV replay defaults to the background realtime capture pipeline. For local labelled-fixture validation, set audio.replay_mode: detector_paced and the detector-compatible audio.window_seconds plus either audio.overlap or audio.hop_seconds so each complete WAV window is processed as soon as the detector/runtime is ready, without wall-clock sleeps and without normal queue drops.

The repository normally does not commit audio. The only current exception is the small derived E7-S5a labelled replay fixture under tests/fixtures/audio/, which is trimmed, resampled, retimestamped, and documented with a manifest. Raw recordings, broad training/evaluation audio, model artifacts, roast logs, and serial captures remain excluded from git.

The released-model labelled replay validation is opt-in/local, not part of the default CI suite:

./.venv/bin/python scripts/validate_first_crack_wav_replay.py

That script starts the stdio MCP server on the mock roaster with pinned INT8 Hugging Face artifacts and detector-paced WAV replay, then uses public MCP tools to validate first-crack detection against the fixture labels and export roast.jsonl, roast.csv, and summary.json.

For microphone capture, audio.input_device: null uses the system default input device. To pin a specific microphone, set audio.input_device to a PortAudio-resolvable device name or platform device identifier. On Linux and Raspberry Pi, use arecord -l and arecord -L to inspect ALSA devices; values such as plughw:1,0 are often more forgiving than raw hw:1,0 because ALSA can perform format conversion. On macOS, use the system sound settings or a sounddevice device listing during manual validation. Real microphone checks are optional and should be run only when first_crack.mode: audio and audio.source: microphone are deliberately configured.

Optional real microphone validation is gated manual work. Before running it, configure released Hugging Face ONNX artifacts or a validated first_crack.local_model_dir, select the intended microphone, and confirm the MCP process can start without artifact or audio-capture errors. Expected evidence for a pass is: get_roast_state.first_crack_status moves from pending to detected during a supervised roast or controlled replay, the recorded first_crack_detected event includes detector metadata, and normal roast controls continue to work. Missing artifacts, unavailable audio devices, and detector failures should surface as unavailable or faulted status and remain outside normal CI.

HF_HOME is consumed by Hugging Face tooling directly rather than copied into the RoastPilot config object.

Hugging Face Model Boundary

This repository does not train, export, sync, or publish first-crack models.

The coffee-first-crack-detection repository remains the source of truth for:

• model training
• ONNX export
• Hugging Face artifact publishing
• model cards
• dataset cards

RoastPilot only consumes released artifacts from syamaner/coffee-first-crack-detection. The runtime boundary for this repo is inference-time configuration and model selection, not model lifecycle management.

Current first-crack defaults are kept safe for local development:

• mode: disabled
• precision: int8
• repo_id: syamaner/coffee-first-crack-detection

That default keeps local setup free from Hugging Face network access until audio mode is deliberately configured. When first_crack.mode: audio is deliberately configured, RoastPilot consumes the released ONNX artifacts with ONNX Runtime and the released AST preprocessor config with transformers.ASTFeatureExtractor; model training, export, and Hub publishing remain outside this repository.

In audio mode, starting a roast session prepares the configured audio capture pipeline and released-artifact detector runtime. Detector windows are processed only after T0 is recorded and the active session is in roasting. Confirmed detector output records first_crack_detected once through the authoritative session timeline. The runtime stops when first crack is recorded automatically or through the explicit manual override, and also stops on drop, cooling completion, emergency stop, and process shutdown. Missing artifacts, unavailable audio capture, and detector errors are surfaced through get_roast_state.first_crack_status as unavailable or faulted rather than crashing normal roast controls. Disabled and manual first-crack modes do not start audio capture or detector runtime.

Log Export

RoastPilot currently supports snapshot export through export_roast_log for the active in-process session.

Current export files:

• roast.jsonl with append-only event and sampled telemetry rows during the roast
• roast.csv with telemetry and event rows using the planned CSV columns for timestamps, elapsed seconds, phase, temperatures, controls, event flags, development percent, RoR/delta metrics, and first-crack model metadata
• summary.json with session timestamps, total roast seconds, development metrics, roaster driver, and first-crack model metadata
• output under logs/roasts/{session_id}/

Cross-format log schema completeness tests are in place. Broad release validation and end-to-end agent roast validation land in later stories.