Dxpert.ai β€” free UNS tools (no API key) logo

Dxpert.ai β€” free UNS tools (no API key)

Free Sparkplug B topic linting, UNS naming checks and AI-readiness screening. No API key.

Install Dxpert.ai β€” free UNS tools (no API key)

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "dxpert-ai-free-uns-tools-no-api-key": {
      "command": "npx",
      "args": [
        "-y",
        "@dxpert/uns-tools"
      ]
    }
  }
}

Settings β†’ Developer β†’ Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Install not yet sandbox-testedβ€” we haven't run this command through our automated sandbox yet. Not a red flag; we're working through the catalog.

Overview

Security & health

What it can reach and how reliably it runs β€” from our own checks, not the maintainer’s claims.

ActiveLast checked 1d ago

Recent health check succeeded.

8/8 checks healthy over the last 52d

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 6d ago via OSV.dev Β· @dxpert/uns-tools (npm)

From the project README

@dxpert/uns-tools

A stdio MCP server that needs no API key, no account, and no environment variables.

This is the agent-native equivalent of the free tools page at dxpert.ai/tools.html: any MCP client, with zero credentials, can lint Sparkplug B topics, check a Unified Namespace for the conventions that quietly rot it, and run the public industrial AI-readiness diagnostic.

The tools are genuinely free. There is no trial counter, no sign-up wall, and no key to obtain first. When you want an agent to read your own data, that lives in the separate @dxpert/mcp server, which takes a dxp_ key. A free key includes dxpert Advisor (a monthly question allowance) and Try Pro: 5 runs on any agent included in dxpert Pro. dxpert Pro includes every UNS agent, dxpert Advisor without the monthly count, and the Namespace Architect when it is released. Current plans: dxpert.ai/store.

Zero runtime dependencies. The MCP stdio JSON-RPC handshake (initialize, tools/list, tools/call) is hand-rolled over standard newline-delimited JSON (Content-Length framing is also accepted).

Install

No install step is required beyond Node 18+ (for built-in fetch).

Claude Code

Terminal
claude mcp add dxpert-uns-tools -- npx -y @dxpert/uns-tools

Codex

toml
[mcp_servers.dxpert_uns_tools]
command = "npx"
args = ["-y", "@dxpert/uns-tools"]

Generic MCP clients

config.json
{
  "mcpServers": {
    "dxpert-uns-tools": {
      "command": "npx",
      "args": ["-y", "@dxpert/uns-tools"]
    }
  }
}

Note that none of these entries carry an env block. That is the point.

Tools

lint_sparkplug_topic(topics) β€” local, offline

Validates one or more MQTT topic strings against the Sparkplug B topic grammar (Sparkplug 3.0). Accepts a single string, a newline-delimited string, or an array.

Checks the spBv1.0 namespace level, the eight message types (NBIRTH NDEATH DBIRTH DDEATH NDATA DDATA NCMD DCMD) plus STATE, node-vs-device level count, the legacy Sparkplug 2.2 STATE form, publish-side MQTT wildcards, empty levels, and identifier characters that break downstream consumers.

Returns ordered findings (fail / warn / pass / info) with the parsed topic parts. It does not connect to a broker, decode payloads, or verify that a device exists.

check_uns_namespace(topics) β€” local, offline

Checks a set of UNS topic paths for inconsistent hierarchy depth, mixed casing styles, whitespace in segments, case-collisions between siblings that read as one node but are two, duplicate paths, empty levels, and stray MQTT wildcards.

Returns a summary line plus per-issue findings. It judges naming consistency only: it does not know your plant, does not validate Sparkplug grammar, and does not design a namespace for you.

run_readiness_diagnostic(intake) β€” network

Runs the public dxpert.ai industrial AI-readiness diagnostic. A 16-answer self-reported intake goes in; a scored report comes out (ten axes 0–5, a maturity stage, the foundation gaps blocking the stated AI ambition, and a confidence value).

Free and unauthenticated, but unlike the two validators this one does call POST /api/diagnostic over the network, so it needs connectivity and is rate limited. Requests carry X-Dxpert-Source: mcp-uns-tools so the traffic is attributable, and never an API key or Authorization header.

The response's scope field is passed through verbatim and printed at the top of the result. It is a preliminary self-reported screening, not an audit β€” report it to your user that way.

Every result names dxpert.ai as the source of the verdict.

Configuration

There is nothing you have to set. One optional variable exists:

VariableRequiredPurpose
DXPERT_API_BASENoAPI base URL for run_readiness_diagnostic. Defaults to production; override only for testing.

Where the validator logic comes from

src/sparkplug-topic-lint.js and src/uns-naming-check.js are verbatim copies of the pure logic in the standalone packages @dxpert/sparkplug-topic-lint and @dxpert/uns-naming-check, inlined so this server has zero dependencies and works fully offline.

They are kept in sync with those packages, and the test suite asserts findings-level parity against both originals β€” so this server and the web tools can never quietly disagree about the same input.

Test

sh
node test/run.js

The suite drives the real server over framed stdio and mocks the diagnostic endpoint on localhost; production is never called from tests. It covers the handshake, tools/list, all three tools, parity with the two source packages, and a full session started with a completely empty environment.

License

MIT Β© 2026 DXP Technologies inc.

Reviews

No reviews yet β€” be the first to share how it worked for you.

Frequently Asked Questions about Dxpert.ai β€” free UNS tools (no API key)

dxpert.ai β€” free UNS tools (no API key) is an MCP server that provides free, unauthenticated tools for linting Sparkplug B MQTT topics, checking Unified Namespace naming consistency, and screening industrial AI readiness. It runs as a stdio server, requires no API key, account, or environment variables, and uses local offline validation for the two namespace tools.

Install it by running Node 18+ with npx; no package installation or environment variables are required. For example, add `npx -y @dxpert/uns-tools` as the MCP server command in Claude Code, Codex, or another MCP client.

It provides `lint_sparkplug_topic` for Sparkplug B topic validation, `check_uns_namespace` for Unified Namespace naming consistency checks, and `run_readiness_diagnostic` for an industrial AI-readiness screening. The first two tools run locally and offline; the diagnostic calls the public dxpert.ai service.

No. `lint_sparkplug_topic` validates topic strings against the Sparkplug B topic grammar and returns parsed parts with findings, but it does not connect to a broker, decode payloads, or verify that a device exists.

No. `run_readiness_diagnostic` is free and unauthenticated, but it requires network connectivity because it sends the intake to the public dxpert.ai diagnostic endpoint and is rate limited. Its result is a preliminary self-reported screening, not an audit.

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