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Topiclint

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/topiclint

Install

Overview

Description from the maker (original English)

Sparkplug B topic linting and UNS naming checks for MQTT topic paths.

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

  • npmNode.js installed (for the npx 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": {
    "topiclint": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/topiclint",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add topiclint -- npx -y @reneturcios/topiclint mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "topiclint": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/topiclint",
        "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": {
    "topiclint": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/topiclint",
        "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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, 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 32545 servers in this category
  • Published to the registry more recently than 88% of the other 32545 servers in this category
  • Basic checks equal to or better than 100% of the other 32545 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 Topiclint 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 (0.1.0) 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 Node.js, Docker on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Python MCP

Alternatives

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

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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

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

Runs in the cloud★ 211Updated yesterday
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Local-only Python MCP server for the Files.com API.

Runs on your computerUpdated 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.

topiclint

topiclint checks MQTT topic strings before they reach a broker or a namespace design review. It lints individual topics against the Sparkplug B topic grammar (Sparkplug 3.0), and it reviews a whole set of Unified Namespace (UNS) topic paths for naming consistency — the kind of drift (mixed casing, uneven depth, near-duplicate siblings) that makes a namespace hard to browse, query, and hand over. One binary serves a command-line interface and a stdio MCP server.

Everything is local and offline. There is no broker connection, no network access, no API key, and no account. The linter validates grammar only: it does not decode payloads or check that a device exists. The naming check judges consistency only: it does not know your plant and will not design a namespace for you.

Install

npx @reneturcios/topiclint lint spBv1.0/Plant1/NBIRTH/Edge1

Or run the container image:

docker run -i ghcr.io/cloudcorprecords/topiclint

The container defaults to the MCP server (see below); pass CLI arguments to use it as a CLI instead.

CLI

topiclint lint spBv1.0/Plant1/NBIRTH/Edge1 spBv1.0/Plant1/DDATA/Edge1/Dev1

topiclint check enterprise/site1/line1 enterprise/site1/line2

topiclint --version

Each topic or path is one argument; a single argument may also be a newline-delimited list. Both commands print a JSON report. A report full of findings is still a successful run — findings are the output, not an error. Exit codes: 0 on success, 1 on a runtime error, 2 for usage errors.

What the Sparkplug lint checks

For every topic: the spBv1.0 namespace level; the message type (one of NBIRTH, NDEATH, DBIRTH, DDEATH, NDATA, DDATA, NCMD, DCMD, plus STATE); the level count (node messages and STATE carry exactly four levels, device messages exactly five); the legacy Sparkplug 2.2 STATE form (STATE/ with no namespace), reported as its own failure; publish-side MQTT wildcards (+ / #); empty levels; and identifier characters in the group, node, and device levels — whitespace fails, and characters outside [A-Za-z0-9_-] warn, because both break downstream consumers that split, quote, or map topics.

Each result carries the parsed topic parts (namespace, group id, message type, edge node id, device id) plus ordered findings with levels fail / warn / pass / info.

What the UNS check looks for

Across the whole set: duplicate paths, empty levels, whitespace in segments, and stray MQTT wildcards all fail. Siblings under the same parent whose names differ only by case fail as a case-collision — they read as one node but are two. Inconsistent hierarchy depth and mixed casing styles (lower, upper, snake_case, kebab-case, PascalCase, camelCase) warn. The report opens with a one-line summary, then the per-issue findings.

MCP server

One bin serves both faces. The mcp subcommand starts a stdio MCP server:

npx -y @reneturcios/topiclint mcp

MCP client configuration:

{

"mcpServers": { "topiclint": { "command": "npx", "args": ["-y", "@reneturcios/topiclint", "mcp"] } } }

Tools

Both tools take a single topics argument: a single string, a newline-delimited string, or an array of topic strings.

ToolInputWhat it returns
lint_sparkplug_topictopics (string or string array)Per-topic parsed parts plus ordered findings, with pass/fail counts and a summary.
check_uns_namespacetopics (string or string array)A summary line plus per-issue findings for the whole path set.

Development

npm install

npm run build # tsc -> dist/ npm test # node test runner over test/*.test.ts, no network npm run dev # run the CLI from source via tsx

License

MIT — see LICENSE.

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