Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

Proa documentation

by Proa-Labsversion 1.0.0i★ –iRuns in the cloud
Registry nameio.github.proa-web/docs

Install

Overview

Description from the maker (original English)

Search and read official Proa Rust framework documentation. Public, read-only, no credentials.

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 in the cloud
  • Transport: Streamable HTTP
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 0 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://proa.so/mcp

Run this in your terminal

claude mcp add --transport http docs https://proa.so/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "docs": {
      "url": "https://proa.so/mcp"
    }
  }
}

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": {
    "docs": {
      "type": "http",
      "url": "https://proa.so/mcp"
    }
  }
}

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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://proa.so/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

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

  • ! Caution

    Maker matches the repo

    The publisher (proa-web) is not the repo owner (Proa-Labs); someone else may have listed it

  • … 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 checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7220 servers in this category
  • Published to the registry more recently than 80% of the other 7220 servers in this category
  • Basic checks equal to or better than 38% of the other 7220 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 Proa documentation safe?

It passed 0 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 8 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago
Install

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.

Proa Marketing

Rust SSR marketing site for Proa.

Agent interfaces

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.

Proa UI homepage rail

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.

Docs search

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.

Content

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 -> /docs
  • src/blog -> /blog

Each collection follows the fumadocs-style meta.json convention for sidebar ordering and nested groups.

Local Docker Build

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.

Railway

Google Analytics

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.

Deployment

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:

  • Config file: /railway.toml
  • Builder: Dockerfile
  • Dockerfile: /proa_marketing/Dockerfile
  • Health check path: /healthz
  • Start command: inherited from the Dockerfile CMD

Railway 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

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

Ask PopNx