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

Groundtruth

by rm-rf-prodversion 8.0.1i★ –iRuns on your computer
Registry nameio.github.rm-rf-prod/groundtruth

Install

Overview

Description from the maker (original English)

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

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: GT_GITHUB_TOKEN

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: GT_GITHUB_TOKEN, GT_CACHE_DIR, GT_LOG_LEVEL

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

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": {
    "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"
      }
    }
  }
}

Run this in your terminal

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

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": {
    "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"
      }
    }
  }
}

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": {
    "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"
      }
    }
  }
}

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

  • GT_GITHUB_TOKEN secret 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)

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 with the GitHub account rm-rf-prod, 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 32537 servers in this category
  • Published to the registry more recently than 59% of the other 32537 servers in this category
  • Basic checks equal to or better than 100% of the other 32537 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 Groundtruth 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: GT_GITHUB_TOKEN

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 (8.0.1) reached the registry 27 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 on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, TF Rooms

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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by formulahendry

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

by desktop-commander

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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TF Rooms

by tfrooms.com

Live room availability, rates and stay quotes for 12 New Leaf motels in Twin Falls, Idaho.

Runs in the cloudUpdated 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.

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

Only the beginning is shown; read the rest in the repo

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