原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Larnitech

作者:mpopovych-thinkhome版本 1.4.0-betai★ –i在你的电脑上运行
注册名称io.github.mpopovych-thinkhome/larnitech-mcp

安装

概览

作者提供的说明(英文原文)

Read, watch and safely control Larnitech smart-home controllers over the API2 protocol.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "larnitech": {
      "command": "uvx",
      "args": [
        "larnitech-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add larnitech -- uvx larnitech-mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "larnitech": {
      "command": "uvx",
      "args": [
        "larnitech-mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "larnitech": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "larnitech-mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

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。

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8日

  • ✓ 通过

    作者与仓库一致

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

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 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

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 18431 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 18431 个服务器的 90% 更新
  • 基础检查结果等于或优于此分类中其他 18431 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

Larnitech 安全吗?

它在 1 项适用的基础检查中通过了 1 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–,最新版本(1.4.0-beta)于4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:Spec Driven Development, Remote Desktop Commander, Tethered Trust

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ 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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 2113天前更新
安装

Tethered Trust

作者:tetheredtrust.com

Fit, compatibility and recall checks for AI agents before they buy: verdicts, evidence, receipts.

在云端运行今天更新
安装

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。

Larnitech MCP

Version 1.4.0 Beta · Changelog · MIT licensed

An MCP server that lets an AI agent read and control a Larnitech smart-home installation over the API2 protocol — lights, climate, blinds, sensors, meters.

It ships with a documented device-type reference built from live testing against real controllers, so the agent looks up how a widget actually behaves instead of guessing from key names. That matters more than it sounds: on this platform writing state: "closed" to a gate is acknowledged with success: true and then silently ignored, and several climate types drop half of any two-key write. Those traps are documented, checked before every write, and listed in this README's own safety section.


What it does

Reading — open, no configuration beyond the API key.

ToolWhat it does
list_objectsconfigured controllers (never returns keys)
check_connectionconnect, authorize, report device count
list_devicesfull snapshot, filterable by area / type / name
get_devicestatus of one device by address

Consecutive calls share one authorized connection: the socket stays open for four minutes after a request, so a burst of reads costs one connect instead of one per call. It is retired before the controller's own five-minute idle timeout, and one the controller has already dropped is replaced without the call failing.

Understanding what came back — statuses are type-specific and occasionally not key/value at all.

ToolWhat it does
get_docs()overview of every documented device type
get_docs("AC")full detail for one type: status keys, enums, XML attributes, script byte layout, quirks
get_docs("bugs")numbered registry of confirmed vendor bugs
get_docs("protocol")API2 protocol reference

Responses flag statuses that need care: an opaque hex blob, a malfunction fault code in place of a normal reading, an all-null payload from a meter that missed its poll cycle — which means *no data*, not zeros — or a bare state: "undefined", which is how a device that is physically offline still answers.

Watching — non-blocking, for "press the switch and tell me what moved".

ToolWhat it does
watch_startbegin watching; returns immediately
watch_readdrain what changed since the last read, per key from/to
watch_stop / watch_liststop one / list active

A watch keeps its own connection alive, so it survives the controller's 5-minute idle timeout and can stay open across a long conversation.

Writing — off by default; one call, checked before and after.

ToolWhat it does
set_devicevalidate, write, wait for the device to settle, report what actually landed
modbus_requestone raw Modbus RTU/TCP exchange on a com-port: read (FC 03/04) or write (FC 06/16) registers

Learning — findings survive the session.

ToolWrites to
add_docs_notethat device type's own doc file
add_preferencepreferences.md, served with every get_docs

Saving data — a snapshot is worth more than scrollback.

ToolWhat it does
save_snapshotkeep a slice of controller data as a file
list_snapshotswhat has been saved, per controller
read_snapshotread one back, to compare against now

Files land in data/ / _ _ .txt, one folder per controller — or in a folder of your own, if that installation already has a project directory holding its drawings, configs and controller backups:

python -m larnitech_mcp data-dir "Home" "/projects/home/backups"

Snapshots then sit with the rest of that site's files instead of in a separate store. list_snapshots finds both kinds.

Each is a JSON envelope — object, saved_at, comment and the payload under data — so provenance travels with the file and read_snapshot hands back parsed structure rather than text to re-parse. Numbers stay numbers and null stays null, which matters here: telling "no data" apart from zero is the difference between a quiet meter and a reading of nothing.

Ask for "save the current state" and the agent files it there; ask "has this changed since last week" and it has something to compare against.

Reporting — report_bug turns something you hit into a ready-to-file issue for this repository. It composes the report, strips identifiers (API keys, serials, hostnames, site names) and returns a prefilled link. Nothing is posted: you open the link, read exactly what would be published, and submit it yourself under your own account. No token is needed by anyone.


Requirements

  • Python 3.11+
  • A Larnitech controller you administer, reachable via the Larnitech cloud or on your LAN

Install

pip install larnitech-mcp

A virtual environment is worth using, since you'll point Claude Code at that interpreter's absolute path:

python -m venv ~/.venvs/larnitech

~/.venvs/larnitech/bin/pip install larnitech-mcp # Windows: Scripts\pip.exe

Your API keys, preferences, saved snapshots, and any device notes the agent records live in ~/.larnitech-mcp/, outside the package, so upgrading never touches them.

To work on the server itself, install from a clone instead:

git clone https://github.com/mpopovych-thinkhome/larnitech-mcp.git

cd larnitech-mcp pip install -e .

Where to get your API key

Both values come from LT_Setup, Larnitech's own configuration app, on the installation you administer:

WhatWhere in LT_Setup
API keySecurity → Show API key
Serial number (cloud connection)General
IP address (LAN connection)General, or your router's DHCP table
WebSocket port (LAN, default 2041)General → API → Websocket port

The key grants full read and write access to the installation. Treat it like a password.

Connect a controller

Register it, then store the key:

python -m larnitech_mcp add "Home" cloud --serial YOUR_SERIAL

python -m larnitech_mcp auth "Home"

auth prompts with hidden input and writes the key to ~/.larnitech-mcp/project_keys.json. The key never passes through the chat transcript this way — prefer it over the object_set_key tool, which works but leaves the key in the session log.

For a controller on your LAN instead of via the cloud:

python -m larnitech_mcp add "Home" local --host 192.168.1.50

Check it works:

python -m larnitech_mcp test "Home"      # connect, authorize, count devices

python -m larnitech_mcp devices "Home" # full snapshot, counts per type

Add to Claude Code

Add the server to the top-level mcpServers object in ~/.claude.json, using the absolute path to the venv's Python:

{

"mcpServers": { "larnitech": { "command": "/home/you/.venvs/larnitech/bin/python", "args": ["-m", "larnitech_mcp", "serve"] } } }

On Windows the command is the .exe, with escaped backslashes:

"command": "C:\\Users\\you\\.venvs\\larnitech\\Scripts\\python.exe"

It must be the top-level mcpServers key in ~/.claude.json itself — a .mcp.json placed inside the ~/.claude/ folder is never read. To scope it to one project instead, put the same block in a .mcp.json at that project's root. Restart Claude Code fully afterwards; closing the window is not enough.

Other MCP clients work the same way — the server runs on stdio via python -m larnitech_mcp serve.


Safety model

Reading is open. Writing is off until you turn it on, per controller, from a terminal:

python -m larnitech_mcp allow-write "Home" on

There is deliberately no tool for this — an agent cannot grant itself write access, only tell you the command.

Every write is checked before it is sent. set_device validates the payload against the documented vocabulary and ranges for that type — an on/off key gets only on/off, an AC setpoint stays inside the range the unit itself reports, a read-only sensor takes nothing — and rejects a malformed or out-of-range command without touching the controller.

And checked after it lands. An ack only means the command was accepted; some types ack a write and then ignore it. So set_device waits for the device to go quiet and reads it back: mismatched lists requested keys that did not take, unrequested_changes anything the controller altered on its own.

Writes can be sequences, because some types cannot be driven with one frame:

[{"status": {"mode": "heat"}, "delay_after": 1.0},

{"status": {"state": "on"}}]

Sending mode and state together loses the state: the controller re-evaluates the channel after a mode change and overrides whatever arrived behind it. The same applies to vent (state + fan) and to clearing an automation before switching a channel off. set_device rejects the combined forms and tells you the sequence to use instead.

No key is ever returned by a tool, and keys are masked out of error messages.

Device documentation

larnitech_mcp/docs/device-types/ holds one file per device type plus an index, covering the API2 status keys, XML attributes, script-side byte layout, and every quirk confirmed by live testing. bugs.md alongside it is a numbered registry of confirmed vendor bugs that the type files reference. Read them through get_docs rather than by path — that also picks up anything you've added locally.

Notes the agent records with add_docs_note go to ~/.larnitech-mcp/docs/, not into the installed package, so they survive upgrades. Your copy wins on read; everything you haven't edited still comes from the shipped set.

This is a working knowledge base, not a spec: entries say plainly when something is confirmed live, observed but unexplained, or still unknown. Corrections and additions are welcome — that is the most valuable kind of contribution here.

Command reference

CommandEffect
add cloud --serial Sregister a cloud controller
add local --host H [--port P]register a LAN controller
auth store its API key (hidden prompt)
listconfigured controllers, key presence
test connect, authorize, count devices
devices [--full]full snapshot, decoded
`allow-write on\off`enable or disable writes
remove drop a controller and its key
serverun the MCP server on stdio

Status

Beta. Reading, watching, and writing all work and have been exercised against live hardware, but this has been tested against a limited set of installations. Device types documented as unconfirmed genuinely are — see get_docs output and the per-type files.

Modbus on a com-port

modbus_request sends one frame — slave, function 03/04/06/16, register, count or values — onto the bus behind a com-port and returns the decoded answer. Reads work on any object; writes need allow_write. Modbus TCP ports take the same frame as RTU, CRC included (assumed; verified on RTU only).

The port may be in use by the controller's own scripts, so other requests can be on the bus at the same time, and an answer can belong to someone else's request rather than yours — observed live. One request is the default; when a value really matters, send the same request twice about a second apart and trust it only if both answers agree. A device that does not answer within 2 s is reported as a timeout, never as the port's last known frame. Details: com-port.

Not affiliated with or endorsed by Larnitech.

License

MIT

Contact

Mykhailo Popovych

  • Telegram: [t.me/M_Popovych_ThinkHome](https://t.me/M_Popov

只显示了开头部分;其余内容请在仓库中阅读

问 PopNx