RoastPilot
Overview
Description from the maker (original English)
RoastPilot controls coffee roasting sessions through local stdio MCP tools and exports logs.
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Developer tools
Install
Pick the AI app you use, then copy the settings.
Passed 2/2 checks · Runs on your computer
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Claude desktop app’s settings file
SettingsDeveloperEdit Config
Paste these settings and save the file
{ "mcpServers": { "coffee-roaster": { "command": "uvx", "args": [ "coffee-roaster-mcp", "serve" ] } } }Quit Claude and open it again
Try it
Use RoastPilot and tell me what you can do for me, then show me one thing✓ If Claude says it is using RoastPilot or shows a RoastPilot tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect RoastPilot yet
RoastPilot runs on your computer, but ChatGPT can only connect servers that run on the web
What you can do instead
A · Use an app that can connect RoastPilot
- Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
- Install Python (uv) on your computer first (one time)
- Install Python (uv) on your computer first (one time)
- Install Python (uv) on your computer first (one time)
B · Others in Developer tools that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
- Sentry✓ ChatGPT
- Front-End Checklist✓ ChatGPT
- Compiler Explorer✓ ChatGPT
Works with Claude Code, with some setup first
Install Python (uv) on your computer first (one time)
Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Paste this command and press Enter
claude mcp add coffee-roaster -- uvx coffee-roaster-mcp serveType /mcp in Claude Code
You should see RoastPilot listed as connected
Try it
Use RoastPilot and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using RoastPilot or shows a RoastPilot tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Python (uv) on your computer first (one time)
Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the AI chat in Cursor in Agent mode
Try it
Use RoastPilot and tell me what you can do for me, then show me one thing✓ If Cursor says it is using RoastPilot or shows a RoastPilot tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Python (uv) on your computer first (one time)
Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the AI chat in VS Code in Agent mode
Try it
Use RoastPilot and tell me what you can do for me, then show me one thing✓ If VS Code says it is using RoastPilot or shows a RoastPilot tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
For developers: Terminal commands and JSON settings
Installed on your computer
Claude Code
claude mcp add coffee-roaster -- uvx coffee-roaster-mcp serveClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"coffee-roaster": {
"command": "uvx",
"args": [
"coffee-roaster-mcp",
"serve"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"coffee-roaster": {
"command": "uvx",
"args": [
"coffee-roaster-mcp",
"serve"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"coffee-roaster": {
"type": "stdio",
"command": "uvx",
"args": [
"coffee-roaster-mcp",
"serve"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
At a glance
- Downloads per weeki
- 54/wk
- Connection
- Runs on your computer
- Transport
- stdio
- Latest versioni
- 0.2.4
- Categoryi
- Developer tools
- Published to registryi
- Oct 13, 2026
- Code last changedi
- Nov 10, 2026
- Maker
- syamaner
- Packages
pypi: coffee-roaster-mcp- Website
- github.com
- Registry status
- Active
Which apps can use it
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Related guides
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 11, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account syamaner, which owns the repo
- ✓ Pass
Still maintained
Code last changed yesterday
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Discussion
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
No posts yet. Be the first to ask or share.
Posts here are written by users, not the PopNx team.
User reviews
No reviews yet
Compared with others in Developer toolsi
- More stars than 0% of the other 5752 servers in this category
- Published to the registry more recently than 52% of the other 5752 servers in this category
- Basic checks equal to or better than 100% of the other 5752 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is RoastPilot safe?
It passed 2 of 2 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed yesterday, and the latest version (0.2.4) reached the registry 28 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
What can I use instead?
In the same category: REA, Netdata, Front-End Checklist
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Netdata
Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Front-End Checklist
Review frontend code and live pages against 386 quality-gated web development rules.
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
RoastPilot
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.
Status
✅ 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:
- 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 published 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 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).
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
Hardware And Audio Checks
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.
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_infoget_runtime_configstart_roast_sessionget_roast_stateset_heatset_fanmark_beans_addedmark_first_crackdrop_beansstart_coolingstop_coolingexport_roast_logemergency_stopset_recording_metadatafinalise_cold_characterisation_session
Per-poll cold-characterisation observation
get_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.
Cold-characterisation finalisation
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