Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Live docs MCP server. 793+ libraries, evidence-verified answers, code audit, snippets, dispatch.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
GT_GITHUB_TOKEN, GT_CACHE_DIR, GT_LOG_LEVEL비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"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"
}
}
}
}터미널에서 이 명령어를 실행하세요
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-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"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"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"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"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
GT_CACHE_DIR envGT_LOG_LEVEL env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 rm-rf-prod 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: GT_GITHUB_TOKEN
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(8.0.1)은 27일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, HotCodePush
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Manage over-the-air (OTA) updates for React Native, Expo, Capacitor and Cordova apps.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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.
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).
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.
Fourteen tools. Each does one job, and each is also a CLI command.
| Tool | CLI | What it does |
|---|---|---|
gt_dispatch | ask | Routes a plain request ("use gt for drizzle migrations") to the right tool and arguments |
gt_resolve_library | resolve | Finds a library by name; falls back to npm, PyPI, crates.io and Go modules |
gt_get_docs | docs | Live docs for one topic; also accepts a docs URL |
gt_best_practices | bp | Patterns, anti-patterns and configuration guidance for a library |
gt_auto_scan | scan | Reads your manifest and fetches best practices for each dependency |
gt_search | search | Any topic without a library: OWASP, MDN, web.dev, W3C, AI provider docs, Google APIs |
gt_audit | audit | Scans source files and reports issues at file:line with links to the fix |
gt_changelog | changelog | Release notes before you upgrade |
gt_compat | compat | Browser and runtime support from MDN browser-compat-data and caniuse |
gt_compare | compare | Two or three libraries side by side |
gt_examples | examples | Real-world code from GitHub |
gt_migration | migrate | Migration guides and breaking changes between versions |
gt_batch_resolve | batch | Resolves up to 20 libraries in one call |
gt_snippets | snippets | Ranked 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_auditWalks 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
| Category | What it checks |
|---|---|
security | XSS, SQL injection, command injection, SSRF, path traversal, hardcoded credentials, CORS wildcard |
accessibility | Missing alt text, onClick on div, icon-only buttons, inputs without labels, outline: none |
react | forwardRef (React 19), useFormState renamed, index as key, conditional hooks |
nextjs | Sync cookies/headers/params (Next.js 16), Tailwind v3 directives, missing metadata |
typescript | any type, non-null assertions, @ts-ignore, floating Promises |
performance | Missing lazy loading, useEffect data fetching, missing Suspense boundaries |
layout | CLS-causing images, 100vh on mobile, missing font-display |
node | console.log in production, sync fs ops, unhandled callbacks |
python | SQL injection via f-string, eval/exec, subprocess shell=True, pickle.loads |
| Also | mobile, 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:
Live fix: OWASP SQL Injection Prevention Cheat Sheet
gt_auto_scanPoint 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_searchFor anything that isn't one library.
| Area | Topics |
|---|---|
| Security | OWASP Top 10, SQL injection, XSS / CSP, CSRF, HSTS, CORS, JWT, OAuth 2.1, WebAuthn, SSRF, API security |
| Accessibility | WCAG 2.2, WAI-ARIA, keyboard navigation |
| Performance | Core Web Vitals, image optimization, web fonts, Speculation Rules |
| Web APIs | Fetch, Workers, WebSocket, WebRTC, IndexedDB, Web Crypto, Intersection Observer |
| CSS | Grid, Flexbox, Container Queries, View Transitions, Cascade Layers, :has(), Subgrid |
| AI providers | Claude, OpenAI, Gemini, Mistral, Cohere, Groq, LangChain, LlamaIndex |
| Maps, Analytics, Ads, Cloud, Firebase, Vertex AI, YouTube, Gmail, Sheets | |
| Infrastructure | Docker, Kubernetes, GitHub Actions, Terraform, Cloudflare Workers |
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 -
| Command | Does | |
|---|---|---|
tools | Lists 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 | |
--json | Prints 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.
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.
| Measurement | 7.5.0 | 8.0.0 | Change |
|---|---|---|---|
gt-mcp --version | 1,130 ms, 194 MB | 40 ms, 54 MB | 28x faster |
| Spawn to MCP ready | 1,074 ms | 186 ms | 5.8x faster |
gt_best_practices Next.js caching, cold cache | 6,893 ms | 259 ms | 27x faster |
| Same call the next day (20 h old cache) | 6,684 ms | 92 ms | 73x faster |
Repeat gt_search in a new session | 86 ms | 2 ms | 43x faster |
Fewer tokens per session and per answer:
| Measurement | 7.5.0 | 8.0.0 |
|---|---|---|
tools/list, paid by every session | 23,638 bytes | 11,560 bytes (-51%) |
| Tool descriptions | -75% | |
| Wire bytes per docs or best-practices answer | halved (duplicate structuredContent removed) |
| gt_auto_scan default o
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요