Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Free Sparkplug B topic linting, UNS naming checks and AI-readiness screening. No API key.
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。
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。
选择你使用的 AI 应用,然后复制设置。
DXPERT_API_BASE你需要
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": {
"uns-tools": {
"command": "npx",
"args": [
"-y",
"@dxpert/uns-tools"
],
"env": {
"DXPERT_API_BASE": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add uns-tools --env DXPERT_API_BASE=your-value -- npx -y @dxpert/uns-tools运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"uns-tools": {
"command": "npx",
"args": [
"-y",
"@dxpert/uns-tools"
],
"env": {
"DXPERT_API_BASE": "your-value"
}
}
}
}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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"uns-tools": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@dxpert/uns-tools"
],
"env": {
"DXPERT_API_BASE": "your-value"
}
}
}
}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。
DXPERT_API_BASE env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。
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7日
注册名称已通过域名 dxpert.ai 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
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)。
GitHub 仓库最后更新于–,最新版本(0.1.4)于6天前进入注册中心。
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 Node.js。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Python MCP
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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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。
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).
No install step is required beyond Node 18+ (for built-in fetch).
claude mcp add dxpert-uns-tools -- npx -y @dxpert/uns-tools
[mcp_servers.dxpert_uns_tools]
command = "npx" args = ["-y", "@dxpert/uns-tools"]
{
"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.
lint_sparkplug_topic(topics) — local, offlineValidates 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) — local, offlineChecks 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) — networkRuns 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 — report it to your user that way.
Every result names dxpert.ai as the source of the verdict.
There is nothing you have to set. One optional variable exists:
| Variable | Required | Purpose |
|---|---|---|
DXPERT_API_BASE | No | API base URL for run_readiness_diagnostic. Defaults to production; override only for testing. |
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 — so this server and the web tools can never quietly disagree about the same input.
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.
MIT © 2026 DXP Technologies inc.