Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Search and read official Proa Rust framework documentation. Public, read-only, no credentials.
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.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://proa.so/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http docs https://proa.so/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"docs": {
"url": "https://proa.so/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"docs": {
"type": "http",
"url": "https://proa.so/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://proa.so/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
게시자(proa-web)가 저장소 소유자(Proa-Labs)가 아니에요. 다른 사람이 등록했을 수 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 0개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.0.0)은 9일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Rust SSR marketing site for Proa.
Authored document output uses typed Proa components and format-specific macros. Each page owns its HTML and Markdown implementations and shares content fields between them. The homepage composes explicit Markdown sections for the hero, render examples, showcase comparison, benchmark charts, UI catalog, capabilities, and quickstart. Markdown exposes all benchmark cases together and omits visual demo fixtures and controls. Only the existing HTML-only highlighted code fragments use the native converter. Team and Contact pages also share their data; authentication and the documentation index live in the docs module. OpenAPI and MCP input schemas use const_json! literals, while runtime discovery URLs use typed serializers. Sitemaps use xml_sync!, and 404 pages use html_sync! / md_sync!.
The homepage supports Accept: text/markdown, /index.md, and ?mode=agent. /llms.txt and /.well-known/llms.txt export that same page renderer; the focused documentation index is /docs/llms.txt. Agent catalogs live at /.well-known/ard.json and /.well-known/ai-catalog.json; the RFC 9727 API catalog is at /.well-known/api-catalog. These documents use the resolved public site URL, including Railway preview origins.
Public discovery files allow cross-origin browser reads and conditional-request preflights. The /mcp transport retains separate Host and Origin checks. Its experimental server card uses the same identity as the runtime handshake.
The skills index at /.well-known/agent-skills/index.json uses the draft Agent Skills Discovery 0.2 format with SHA-256 digests for the served SKILL.md files. These instructions describe workflows in a Proa source checkout and reference its documentation and scripts.
/api/v1/search, /api/v1/docs, and /api/v1/docs/page provide typed, paginated access to public documents. /mcp exposes the same source through the official Rust MCP SDK's stateless Streamable HTTP transport, with two read-only tools and paginated Markdown resources. /mcp/server-card describes the connection. No credentials or writes are exposed. API and MCP responses advertise an enforced shared per-instance budget of 600 requests per minute.
Search also accepts a JSON POST body. Its optional Idempotency-Key replays successful responses for fifteen minutes on the serving instance, rejects a key reused for different parameters, and bounds retained responses to 256 keys and 8 MiB. Replicas and restarts do not share this cache. All searches remain safe to repeat without a key; see the API guide for the exact replay contract.
The optional /static/agent-tools.mjs registers the search and retrieval operations with WebMCP. Its tests run with node --test proa_marketing/tests-js/agent-tools.test.mjs. HTTP and MCP tests run through the linked pipeline:
cargo proa test --root . --locked -p proa_marketing --bin proa_marketing
See the public API guide for the external contract. The deployment smoke check also verifies the discovery index, Markdown homepage, catalog, search response, and MCP server card. An Ora score only updates after deployment and a new external scan; search indexing and directory listings are outside the application's control.
The homepage includes the complete home-rail-section from Proa UI's marketing/src/pages/home.rs: ten inert component previews and the catalog tile. Its rendered HTML and scoped CSS are checked in, so normal builds do not need the downstream component library or another checkout. Caption links open the live catalog at ui.proa.so.
To refresh it, run the Proa UI marketing application locally, then run this from the Proa workspace root with that application's URL:
node scripts/import-proa-ui-rail.mjs http://127.0.0.1:3333
The importer preserves the source rail's order, responsive styling, themes, and keyboard navigation. It removes hydration metadata from the inert previews and scopes their styles to this section. Review both themes and the mobile layout after refreshing the snapshots.
The Cmd+K search runs entirely in the browser. The docs build emits /docs/_search/documents.json (title, description, section, headings, frontmatter keywords, and body text per page); public/search.mjs fetches it on the first open and indexes it with a vendored Orama bundle. Ranking lives in public/search-index.mjs, which the Node battery imports too, so the score you measure is the score that ships:
pnpm run search:battery # local server on :5555
node scripts/search_battery.mjs --source prod node scripts/search_battery.mjs --source path/to/documents.json --verbose node scripts/search_battery.mjs --config tweak.json # override DEFAULT_CONFIG keys
The fixture is scripts/search-battery.json (one obviously-right page per query, or a short list when two pages tie); its thresholds fail the run when top-1 or top-3 drops. Give a page identifiers it canonically documents with a keywords: [html_sync, html!] frontmatter list; that field is boosted above body text. Regenerate the Orama bundle after bumping the @orama/* devDependencies with pnpm run search:vendor.
The rsjs SearchModal island only owns the dialog (open, close, focus); see the ownership note at the top of public/search.mjs.
Marketing docs and blog content are compiled by proa_docs_build at build time. Keep route-owned MDX in these crate-local directories:
src/docs -> /docssrc/blog -> /blogEach collection follows the fumadocs-style meta.json convention for sidebar ordering and nested groups.
Build from the repository root:
docker build \
-f proa_marketing/Dockerfile \ -t proa-marketing . docker run --rm -p 5555:5555 \ -e HOST=0.0.0.0 \ -e PORT=5555 \ -e SITE_URL=http://localhost:5555 \ -e PROA_BUILD_REVISION=0123456789abcdef0123456789abcdef01234567 \ proa-marketing
Health check:
curl -fsS http://127.0.0.1:5555/healthz
Full public-contract smoke check:
python3 deploy/marketing_smoke.py \
--url http://127.0.0.1:5555 \ --expected-revision 0123456789abcdef0123456789abcdef01234567 \ --attempts 1
Docker reads .dockerignore from the build context root. This repository includes a root .dockerignore so local target/, .tools/, and node_modules/ directories are not sent to the Docker daemon.
The Dockerfile builds entirely from this repository. No sibling checkout, additional BuildKit context, or registry credential is required.
The Docker builder regenerates proa_marketing/public/styles.css from proa_marketing/styles/input.css using Tailwind's standalone CLI. No Node or TypeScript workspace install is required. The build stage downloads the pinned Tailwind 3.4.18 Linux executable for the target architecture and verifies its published SHA-256 before execution, so it needs outbound HTTPS access.
The strict linked release build takes about eleven minutes on a cold local builder and can exceed Free or Trial build limits before its cache is warm. Use Hobby or higher for reliable source builds, or have CI publish a prebuilt image and point Railway at that image.
The release executable comes from the linked cargo proa build pipeline. Do not replace it with a plain cargo build: only the linked pipeline resolves the RSJS client-helper edges used by browser hydration.
The site defaults to the GA4 web stream G-5XSLT8GCN3. Set GOOGLE_ANALYTICS_MEASUREMENT_ID in the production service's runtime variables to override that public measurement ID; an explicitly empty or malformed value disables analytics. Restart or redeploy after changing it. No Google OAuth token, service-account key, or Analytics API secret belongs in the site configuration.
The shared document head uses proa_third_party::google::GoogleAnalytics on marketing, docs, and ecosystem pages. The Google SDK waits until window.load so it does not compete with the page's initial resources. The application explicitly enables collection with AnalyticsConsent::Granted; the shared crate otherwise requires a consent decision from its caller. The browser bootstrap only loads Google's script on proa.so and www.proa.so, outside iframes, so localhost, Railway previews, and embedded demos do not add production page views. Google Signals and advertising personalization signals are disabled. The normal GA4 configuration sends one automatic page view per document load. See third-party integration docs for the reusable API, consent handling, and loading tradeoffs.
To verify a deployment, open a production page and check for the googletagmanager.com/gtag/js request and a google-analytics.com/g/collect request with the configured measurement ID. Confirm the visit in the property's Realtime report. Browser tracking protection may block these requests.
Production runs on Railway at https://proa.so. All Proa applications, including proa-ui, have migrated from Coolify to Railway; Coolify is no longer an active deployment dependency.
On main, GitHub Actions builds and checks the marketing image with Cloud Build, publishes the verified image to private GHCR, and deploys its immutable digest to Railway after CI passes. See Marketing release images for the release workflow and registry configuration.
For Railway builds from source, including native PR environments, the checked-in railway.toml selects this crate's Dockerfile while keeping the repository root as the Docker build context. The shared Cargo workspace requires that context:
/railway.toml/proa_marketing/Dockerfile/healthzCMDRailway injects PORT, RAILWAY_GIT_COMMIT_SHA, RAILWAY_ENVIRONMENT_NAME, and RAILWAY_PUBLIC_DOMAIN. The image provides the remaining runtime defaults. In production, absolute URLs in robots.txt and the sitemap use SITE_URL when explicitly set, then the deployment's RAILWAY_PUBLIC_DOMAIN, and finally https://proa.so. Non-production Railway environments prefer their own injected public domain so inherited production variables cannot leak the production canonical into a PR sitemap.
Production temporarily sets SITE_URL=https://proa.so while the legacy preview.proa.so alias remains Railway's injected primary domain. Standard PR environments copy base variables, so the resolver deliberately prefers the environment-specific RAILWAY_PUBLIC_DOMAIN outside the production environment. Once Railway reports proa.so as the production public domain, remove the explicit SITE_URL variable.
Do not set PORT: Railway allocates and routes to it. To override defaults, set only the values you need:
HOST=0.0.0.0
RUST_LOG=info STATIC_DIR=/app/static SHOWCASE_PUBLIC_DIR=/app/showcase PROA_CONSOLE_LOAD_TESTS=0
Use SITE_URL=https:// on platforms that do not provide RAILWAY_PUBLIC_DOMAIN, or for the temporary Railway production override described above.
/readyz exposes Railway's commit SHA as x-proa-revision and returns Cache-Control: no-store. PROA_BUILD_REVISION remains available as a platform-neutral explicit override.
Link and inspect the service from the repository root:
railway link --project Proa --environment production --service proa
railway status --json
Production image deployment is controlled by the deploy-release job in .github/workflows/ci.yml, which waits for the required CI gate and the verified release image.
Enable native previews in Project Settings → Environments → PR Environments. Keep the Railway-provided domain on the production
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