原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Groundtruth

作者:rm-rf-prod版本 8.0.1i★ –i在你的电脑上运行
注册名称io.github.rm-rf-prod/groundtruth

安装

概览

作者提供的说明(英文原文)

Live docs MCP server. 793+ libraries, evidence-verified answers, code audit, snippets, dispatch.

PopNx MCP 的三大支柱

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。

它能帮你做什么

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。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他
  • 你需要填写:GT_GITHUB_TOKEN

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: GT_GITHUB_TOKEN, GT_CACHE_DIR, GT_LOG_LEVEL

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • npm已安装 Node.js(用于 npx 命令)

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": {
    "groundtruth": {
      "command": "npx",
      "args": [
        "-y",
        "@groundtruth-mcp/gt-mcp"
      ],
      "env": {
        "GT_GITHUB_TOKEN": "your-value",
        "GT_CACHE_DIR": "your-value",
        "GT_LOG_LEVEL": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add groundtruth --env GT_GITHUB_TOKEN=your-value --env GT_CACHE_DIR=your-value --env GT_LOG_LEVEL=your-value -- npx -y @groundtruth-mcp/gt-mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "groundtruth": {
      "command": "npx",
      "args": [
        "-y",
        "@groundtruth-mcp/gt-mcp"
      ],
      "env": {
        "GT_GITHUB_TOKEN": "your-value",
        "GT_CACHE_DIR": "your-value",
        "GT_LOG_LEVEL": "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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "groundtruth": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@groundtruth-mcp/gt-mcp"
      ],
      "env": {
        "GT_GITHUB_TOKEN": "your-value",
        "GT_CACHE_DIR": "your-value",
        "GT_LOG_LEVEL": "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。

需要你填写的值

  • GT_GITHUB_TOKEN 机密 env
    GitHub API token for higher rate limits (raises from 60 to 5000 req/hr)
  • GT_CACHE_DIR env
    Disk cache directory (default ~/.gt-mcp-cache)
  • GT_LOG_LEVEL env
    Log level written to stderr: debug, info, warn or error (default info)

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。

它能做什么

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。

基础检查i

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

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 rm-rf-prod 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    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“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32545 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32545 个服务器的 59% 更新
  • 基础检查结果等于或优于此分类中其他 32545 个服务器的 100%

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。

常见问题

Groundtruth 安全吗?

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。

它需要哪些密钥或代码?

你需要填写:GT_GITHUB_TOKEN

它在我的电脑上运行还是在云端?

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)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(8.0.1)于27天前进入注册中心。

哪些应用可以使用它?

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。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Python MCP

替代选择

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

Spec Driven Development

作者:formulahendry

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

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

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

在云端运行★ 211昨天更新
安装

Python MCP

作者:Files-com

Local-only Python MCP server for the Files.com API.

在你的电脑上运行今天更新
安装

作者的 README

打开 README

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。

Current, official documentation for coding agents, fetched when they ask.

GroundTruth is a self-hosted MCP server and command-line tool. Models write code from what they were trained on, so they still wrap components in forwardRef after React 19 made ref a regular prop, call cookies() synchronously after Next.js made it async, and emit @tailwind directives that Tailwind v4 replaced with @import "tailwindcss". GroundTruth gives the agent the library's own documentation at request time: it reads llms.txt, the docs site as markdown, or the GitHub repository, ranks the sections that answer the question, and checks that the answer covers the topic before returning it. It also audits your source with 107+ patterns and links every finding to the current fix. It runs on your machine. No account, no API key, no rate limit of its own.


Install (60 seconds)

Requires Node.js 24 or newer.

Claude Code

claude mcp add gt -- npx -y @groundtruth-mcp/gt-mcp@latest

Cursor, Claude Desktop, Windsurf and other clients that use an mcpServers block (.cursor/mcp.json, claude_desktop_config.json, ~/.codeium/windsurf/mcp_config.json):

{

"mcpServers": { "gt": { "command": "npx", "args": ["-y", "@groundtruth-mcp/gt-mcp@latest"] } } }

VS Code (.vscode/mcp.json):

{

"servers": { "gt": { "type": "stdio", "command": "npx", "args": ["-y", "@groundtruth-mcp/gt-mcp@latest"] } } }

Any other MCP client: run npx -y @groundtruth-mcp/gt-mcp@latest as a stdio server.

Command line (same tools, no MCP client needed):

npm install -g @groundtruth-mcp/gt-mcp

gt-mcp bp nextjs caching

@latest makes npx pick up new releases on the next session start. When a newer version exists, tool responses carry a one-line notice (GT_NO_UPDATE_CHECK=1 turns the check off).

Optional: GitHub token

GroundTruth reads READMEs, release notes, migration guides and code examples from GitHub. Without a token GitHub allows 60 requests per hour. A token with no extra scopes raises that to 5,000 and enables code search in gt_examples.

claude mcp add gt -e GT_GITHUB_TOKEN=ghp_yourtoken -- npx -y @groundtruth-mcp/gt-mcp@latest

In a JSON config, add "env": { "GT_GITHUB_TOKEN": "ghp_yourtoken" } next to args.


What you get

Fourteen tools. Each does one job, and each is also a CLI command.

ToolCLIWhat it does
gt_dispatchaskRoutes a plain request ("use gt for drizzle migrations") to the right tool and arguments
gt_resolve_libraryresolveFinds a library by name; falls back to npm, PyPI, crates.io and Go modules
gt_get_docsdocsLive docs for one topic; also accepts a docs URL
gt_best_practicesbpPatterns, anti-patterns and configuration guidance for a library
gt_auto_scanscanReads your manifest and fetches best practices for each dependency
gt_searchsearchAny topic without a library: OWASP, MDN, web.dev, W3C, AI provider docs, Google APIs
gt_auditauditScans source files and reports issues at file:line with links to the fix
gt_changelogchangelogRelease notes before you upgrade
gt_compatcompatBrowser and runtime support from MDN browser-compat-data and caniuse
gt_comparecompareTwo or three libraries side by side
gt_examplesexamplesReal-world code from GitHub
gt_migrationmigrateMigration guides and breaking changes between versions
gt_batch_resolvebatchResolves up to 20 libraries in one call
gt_snippetssnippetsRanked code snippets per library and version, cached on disk

The server also exposes 2 MCP resources (library-registry, library-docs) and 8 prompts (audit-my-project, upgrade-check, best-practices-scan, compare-libraries, security-check, migration-guide, find-examples, dependency-audit).

You don't need the tool names. Ask in plain language:

use gt for nextjs

use gt for drizzle migrations gt audit use gt to check WCAG focus indicators use gt for OpenTelemetry setup find all issues and fix with gt

Or call tools directly:

gt_resolve_library({ libraryName: "nestjs" })

gt_get_docs({ libraryId: "nestjs/nest", topic: "guards" }) gt_best_practices({ libraryId: "vercel/next.js", topic: "caching" }) gt_auto_scan({ projectPath: "." }) gt_search({ query: "OWASP SQL injection prevention" }) gt_audit({ projectPath: ".", categories: ["security", "accessibility"] }) gt_changelog({ libraryId: "vercel/next.js", version: "15" }) gt_compat({ feature: "CSS container queries", environments: ["safari"] }) gt_compare({ libraries: ["prisma", "drizzle-orm"], criteria: "TypeScript support" }) gt_examples({ library: "hono", pattern: "middleware" })

gt_audit

Walks your project, runs 107+ patterns across 18 categories, reports each issue at file:line, then fetches the fix from the authoritative source.

gt_audit({ categories: ["all"] })                      // all 18 categories

gt_audit({ categories: ["security", "node"] }) // OWASP + Node.js gt_audit({ categories: ["python", "security"] }) // Python OWASP scan gt_audit({ categories: ["accessibility"] }) // WCAG AA gt_audit({ categories: ["typescript", "react"] }) // type safety + React rules

CategoryWhat it checks
securityXSS, SQL injection, command injection, SSRF, path traversal, hardcoded credentials, CORS wildcard
accessibilityMissing alt text, onClick on div, icon-only buttons, inputs without labels, outline: none
reactforwardRef (React 19), useFormState renamed, index as key, conditional hooks
nextjsSync cookies/headers/params (Next.js 16), Tailwind v3 directives, missing metadata
typescriptany type, non-null assertions, @ts-ignore, floating Promises
performanceMissing lazy loading, useEffect data fetching, missing Suspense boundaries
layoutCLS-causing images, 100vh on mobile, missing font-display
nodeconsole.log in production, sync fs ops, unhandled callbacks
pythonSQL injection via f-string, eval/exec, subprocess shell=True, pickle.loads
Alsomobile, css, vue, svelte, angular, testing, seo, i18n, api

Sample output:

## [CRITICAL] SQL built via template literal

Category: security | Severity: critical | Count: 2

Fix: db.query('SELECT * FROM users WHERE id = $1', [userId])

Files:

  • src/db/users.ts:47
  • src/api/search.ts:23

Live fix: OWASP SQL Injection Prevention Cheat Sheet

gt_auto_scan

Point it at a project root. It reads the manifest and lockfile, works out which libraries you use and at which versions, and returns best practices for each, top libraries first. Default output is about 15K characters.

Reads package.json, deno.json, requirements.txt, pyproject.toml, Cargo.toml, go.mod, pom.xml, build.gradle, build.gradle.kts, composer.json, Gemfile and pubspec.yaml.

gt_search

For anything that isn't one library.

AreaTopics
SecurityOWASP Top 10, SQL injection, XSS / CSP, CSRF, HSTS, CORS, JWT, OAuth 2.1, WebAuthn, SSRF, API security
AccessibilityWCAG 2.2, WAI-ARIA, keyboard navigation
PerformanceCore Web Vitals, image optimization, web fonts, Speculation Rules
Web APIsFetch, Workers, WebSocket, WebRTC, IndexedDB, Web Crypto, Intersection Observer
CSSGrid, Flexbox, Container Queries, View Transitions, Cascade Layers, :has(), Subgrid
AI providersClaude, OpenAI, Gemini, Mistral, Cohere, Groq, LangChain, LlamaIndex
GoogleMaps, Analytics, Ads, Cloud, Firebase, Vertex AI, YouTube, Gmail, Sheets
InfrastructureDocker, Kubernetes, GitHub Actions, Terraform, Cloudflare Workers

CLI

gt-mcp runs the same 14 tools in-process and prints the answer. With no arguments, gt-mcp is the stdio MCP server, exactly as before.

gt-mcp docs react useEffect                  # live docs for one topic

gt-mcp bp nextjs caching # best practices gt-mcp search "OWASP SSRF prevention" gt-mcp audit . # audit the current project gt-mcp scan . # best practices for every dependency gt-mcp compat "CSS container queries" gt-mcp ask "how do I paginate with drizzle" # let gt_dispatch pick the tool gt-mcp call gt_compare '{"libraries":["prisma","drizzle-orm"]}' echo '{"libraryName":"drizzle"}' | gt-mcp call gt_resolve_library -

CommandDoes
toolsLists every command, its tool and its arguments (--json for machine output)
`call [ \-]`Calls any tool with JSON arguments; - reads them from stdin
help [command]Shows a command's flags, generated from the tool's input schema
--jsonPrints the full CallToolResult as JSON instead of the text

Exit codes: 0 ok, 1 tool error, 2 usage error. Logs stay quiet on stderr unless something goes wrong (GT_LOG_LEVEL defaults to warn for commands). The server flags still work: --version, --health, --routing-table, --help.


Performance

Measured on one machine with the same harness, published 7.5.0 against 8.0.0. Network timings depend on your connection and on the docs site.

Measurement7.5.08.0.0Change
gt-mcp --version1,130 ms, 194 MB40 ms, 54 MB28x faster
Spawn to MCP ready1,074 ms186 ms5.8x faster
gt_best_practices Next.js caching, cold cache6,893 ms259 ms27x faster
Same call the next day (20 h old cache)6,684 ms92 ms73x faster
Repeat gt_search in a new session86 ms2 ms43x faster

Fewer tokens per session and per answer:

Measurement7.5.08.0.0
tools/list, paid by every session23,638 bytes11,560 bytes (-51%)
Tool descriptions-75%
Wire bytes per docs or best-practices answerhalved (duplicate structuredContent removed)

| gt_auto_scan default o

只显示了开头部分;其余内容请在仓库中阅读

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