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RoastPilot

作者:syamaner版本 0.2.4i★ 0i在你的电脑上运行
注册名称io.github.syamaner/coffee-roaster-mcp

安装方法

What it does

RoastPilot controls coffee roasting sessions through local stdio MCP tools and exports logs.

  • Connects 在你的电脑上运行
  • Account or key No key needed
  • Category 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

通过 3/3 项检查 · 在你的电脑上运行

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude,但需要先准备

需要先在电脑上安装 Python (uv)(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 打开电脑版 Claude 应用的设置文件

    SettingsDeveloperEdit Config

  3. 粘贴这些设置并保存文件

    {
      "mcpServers": {
        "coffee-roaster": {
          "command": "uvx",
          "args": [
            "coffee-roaster-mcp",
            "serve"
          ]
        }
      }
    }
  4. 退出 Claude 再重新打开

  5. 试一试

    用 RoastPilot 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 RoastPilot,或回答中出现 RoastPilot 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

ChatGPT 暂时无法连接 RoastPilot

RoastPilot 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器

你可以改用这些方式

A · 使用能连接 RoastPilot 的应用

  • 需要先在电脑上安装 Python (uv)(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
  • 需要先在电脑上安装 Python (uv)(只需一次)
  • 需要先在电脑上安装 Python (uv)(只需一次)
  • 需要先在电脑上安装 Python (uv)(只需一次)

B · 开发者工具 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

可连接 Claude Code,但需要先准备

需要先在电脑上安装 Python (uv)(只需一次)

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  3. 粘贴这条命令并按 Enter

    claude mcp add --scope user coffee-roaster -- uvx coffee-roaster-mcp serve
  4. 在 Claude Code 中输入 /mcp

    应能看到 RoastPilot 在列表中并显示已连接

  5. 试一试

    用 RoastPilot 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 RoastPilot,或回答中出现 RoastPilot 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor,但需要先准备

需要先在电脑上安装 Python (uv)(只需一次)

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  3. 在 Cursor 中以 Agent 模式打开 AI 聊天

  4. 试一试

    用 RoastPilot 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 RoastPilot,或回答中出现 RoastPilot 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code,但需要先准备

需要先在电脑上安装 Python (uv)(只需一次)

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  3. 在 VS Code 中以 Agent 模式打开 AI 聊天

  4. 试一试

    用 RoastPilot 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 RoastPilot,或回答中出现 RoastPilot 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 RoastPilot 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

安装在电脑上

Claude Code

claude mcp add --scope user 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"
      ]
    }
  }
}

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

一览

每周下载量i
54/周
许可证i
Apache-2.0
连接方式
在你的电脑上运行
最新版本i
0.2.4
发布到注册中心i
2026年10月13日
代码最后更新i
2026年11月11日
作者
syamaner
软件包
pypi: coffee-roaster-mcp
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

在你的电脑上运行,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

全部应用及其优缺点 →

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月12日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 syamaner 验证,该账户拥有此仓库

  • ✓ 通过

    仍在维护

    代码最后更新于昨天

  • ✓ 通过

    有许可证

    使用 Apache-2.0

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

还没有帖子,欢迎第一个提问或分享。

此处内容由用户撰写,不代表 PopNx 团队。

使用 Google 登录后发帖

用户评价

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用 Google 登录后写评价

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 5813 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 5813 个服务器的 50% 更新
  • 基础检查结果等于或优于此分类中其他 5813 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

RoastPilot 安全吗?

它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于昨天,最新版本(0.2.4)于30天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:REA, GitHub, Serena MCP: the IDE for your agent

同类别的其他选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

REA

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

作者:morluto广泛使用↓ 38.9万/周★ 45.3万今天更新

在你的电脑上运行

GitHub

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

作者:github广泛使用★ 3.4万9天前更新

电脑或云端

Serena MCP: the IDE for your agent

A powerful toolkit for coding, providing semantic retrieval and editing capabilities.

作者:oraios广泛使用↓ 3.5万/周★ 3.1万6个月前更新

在你的电脑上运行

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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

只显示了开头部分;其余内容请在仓库中阅读