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

Operandi

by ArchieAngelBeWithUs-progversion 1.0.3i★ –iRuns on your computer
Registry namecc.operandi/operandi

Install

Overview

Description from the maker (original English)

Grounded, safety-checked appliance operation packages for robots and agents. Zero-config trial.

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
  • You need to fill in: OPERANDI_API_KEY

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).
  • You fill in yourself: OPERANDI_API_URL, OPERANDI_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

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": {
    "operandi": {
      "command": "uvx",
      "args": [
        "operandi-mcp"
      ],
      "env": {
        "OPERANDI_API_URL": "your-value",
        "OPERANDI_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add operandi --env OPERANDI_API_URL=your-value --env OPERANDI_API_KEY=your-value -- uvx operandi-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "operandi": {
      "command": "uvx",
      "args": [
        "operandi-mcp"
      ],
      "env": {
        "OPERANDI_API_URL": "your-value",
        "OPERANDI_API_KEY": "your-value"
      }
    }
  }
}

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": {
    "operandi": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "operandi-mcp"
      ],
      "env": {
        "OPERANDI_API_URL": "your-value",
        "OPERANDI_API_KEY": "your-value"
      }
    }
  }
}

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.

Values you fill in

  • OPERANDI_API_URL env
    Base URL of the OPERANDI API (default https://api.operandi.cc; use your hosted URL in prod).
  • OPERANDI_API_KEY secret env
    Optional: your OPERANDI key. Leave unset for a zero-config instant trial (the server mints + caches its own key, 2 packages included).

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain operandi.cc (the registry checks domain ownership)

  • … 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 32505 servers in this category
  • Published to the registry more recently than 19% of the other 32505 servers in this category
  • Basic checks equal to or better than 100% of the other 32505 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 Operandi 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?

You need to fill in: OPERANDI_API_KEY

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 (1.0.3) reached the registry 4 months 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, topo^alpin

Alternatives

Servers in the same category from other makers, sorted by stars.

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

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

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topo^alpin

by topoalpin.app

Avalanche bulletins and mountain weather forecasts for any place in the Alps.

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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.

OPERANDI MCP Server — operate real appliances from any agent

mcp-name: cc.operandi/operandi

operandi_mcp_server.py exposes OPERANDI over the Model Context Protocol so any MCP-capable agent host (Claude Desktop, Claude Code, or your own agent runtime) can identify an appliance and pull its grounded, safety-checked, robot-executable operation package as native tools.

This is the "build for agents" surface: the customer is a robot's planner / an LLM agent, not a human reading PDFs.

Tools

ToolWhat it does
identify_applianceResolve observed nameplate text / panel labels / model → a catalog object (call first).
get_operation_packageThe robot-executable package: model-exact procedures, control map + grounding, per-step verification signals, recovery state machine, safety envelope.
list_appliancesBrowse operable appliances (optionally by category).
find_by_capabilityFind appliances by function (heat / wash / brew / defrost …).

Why an agent wants this

A general model, cold, gives confidently-wrong physical instructions on ordinary appliances a large fraction of the time (OPERANDI Stage A: 24% of cold instructions were would-fail, including invented buttons and cycles). Grounded in the package these tools return, that fell to 0 hallucinations, 96% exact. The tools turn "guess the buttons" into "read the manufacturer's ground truth". See ../docs/BUSINESS_MODEL.md.

Setup — zero config

pip install operandi-mcp

That's it. No key needed for your first packages: on first use the server mints an instant trial key itself (POST /v1/trial — no signup, 2 operation packages included, cached at ~/.operandi/mcp_key). When the trial is spent, tool responses tell the agent exactly how to sign up free (10 packages/month) or go Pro.

Have a key already? Set it and it wins over the trial:

export OPERANDI_API_KEY=ok_live_...
Claude Desktop / Claude Code config
{

"mcpServers": { "operandi": { "command": "operandi-mcp" } } }

(Optionally add "env": {"OPERANDI_API_KEY": "ok_live_..."} once you have an account key.)

Then ask the agent: *"Identify the Samsung ME20H705MSS and give me the safe procedure to defrost 0.5 kg of mince."* — it will call identify_appliance then get_operation_package and answer from grounded data.

Notes

  • The server is a thin, API-key-authenticated REST client — the same binary works against local dev or the hosted service by changing OPERANDI_API_URL.
  • Auth is Authorization: Bearer ; a missing/invalid key surfaces as a tool error, not a crash.
  • Transport is newline-delimited JSON-RPC 2.0 (the MCP stdio transport). Offline protocol tests: pytest tests/test_mcp_server.py.
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