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Larnitech

by mpopovych-thinkhomeversion 1.4.0-betai★ –iRuns on your computer
Registry nameio.github.mpopovych-thinkhome/larnitech-mcp

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

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: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

claude mcp add larnitech -- uvx larnitech-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

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 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account mpopovych-thinkhome, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … 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

Compared with others in Otheri

  • More stars than 0% of the other 18398 servers in this category
  • Published to the registry more recently than 90% of the other 18398 servers in this category
  • Basic checks equal to or better than 100% of the other 18398 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 Larnitech safe?

It passed 1 of 1 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 –, and the latest version (1.4.0-beta) reached the registry 4 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: Spec Driven Development, Remote Desktop Commander, Tethered Trust

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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by formulahendry

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

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

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

Runs in the cloud★ 211Updated 2 days ago
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Tethered Trust

by tetheredtrust.com

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

Runs in the cloudUpdated today
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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.

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

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

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