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PopNx MCPMCP servers for people who use AI · explained in plain words

RoastPilot

by syamanerversion 0.2.4i★ 0iRuns on your computer
Registry nameio.github.syamaner/coffee-roaster-mcp

How to install

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

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  3. Paste these settings and save the file

    {
      "mcpServers": {
        "coffee-roaster": {
          "command": "uvx",
          "args": [
            "coffee-roaster-mcp",
            "serve"
          ]
        }
      }
    }
  4. Quit Claude and open it again

  5. 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

Works with Claude Code, with some setup first

Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  3. Paste this command and press Enter

    claude mcp add coffee-roaster -- uvx coffee-roaster-mcp serve
  4. Type /mcp in Claude Code

    You should see RoastPilot listed as connected

  5. 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)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  3. Open the AI chat in Cursor in Agent mode

  4. 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)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  3. Open the AI chat in VS Code in Agent mode

  4. 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

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use RoastPilot💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add coffee-roaster -- uvx coffee-roaster-mcp serve

Claude 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
Licencei
No licence stated
Connection
Runs on your computer
Latest versioni
0.2.4
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

All apps, with pros and cons →

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.

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User reviews

No reviews yet

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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

REA

Reverse engineer anything from your terminal or agent with one CLI and MCP server.

by morlutoWidely used↓ 388.7K/wk★ 448.2KUpdated 17 days ago

Runs on your computer

Netdata

Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.

by netdataWidely used★ 81.3KUpdated 6 days ago

Runs in the cloud

Front-End Checklist

Review frontend code and live pages against 386 quality-gated web development rules.

by thedaviddiasWidely used★ 74.7KUpdated 37 days ago

Runs in the cloud

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:

ValidatedResult
Install pathPublished PyPI 0.1.3 via uvx in a real MCP client (Warp)
Hardware controlLive heat/fan/drop/cooling through the driver-backed MCP tools
Automatic T0beans_added detected from the bean-temperature charge drop (source: auto_t0)
First-crack detectionAudio-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 actionsSame-day guarded hottop-validate run passed 8/8 steps, including drop and emergency stop
Log exportroast.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.

Related Project Artifacts

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_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
  • set_recording_metadata
  • finalise_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

Only the beginning is shown; read the rest in the repo