Superflow Free Tools

19 free website QA and AI-visibility tools as MCP tools: AI visibility checker, robots.txt AI checker, llms.txt generator, page-to-Markdown, JSON-LD validator…

От сообществаРаботаетБез входаГлобальныйБесплатноТолько чтение

Что умеет

  • Check Ai Visibility: Check whether AI assistants (ChatGPT, Claude, Perplexity, Google AI) can reach, read, and cite a web page. Runs the full suite: robots.txt rules per AI crawler, a live firewall te
  • Check Robots Txt For Ai: Test a site's robots.txt against every AI crawler that matters (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot, Googlebot, Bingbot and the rest) and report which are
  • Generate Llms Txt: Generate llms.txt and llms-full.txt for a site, following the llmstxt.org convention. Inventories the site from its robots.txt, sitemaps, and homepage links, then writes an index fi

Какие данные видит

Нужен ли аккаунт

Не нужен: сервер работает без входа

19 free website QA and AI-visibility tools as MCP tools: AI visibility checker, robots.txt AI checker, llms.txt generator, page-to-Markdown, JSON-LD validator and generator, social preview checker, tech stack detector, full page screenshot, alt text generator, UTM builder, and more. Remote HTTP server, no account, no API key.

Как подключить

Как подключить Superflow Free Tools к Claude

Адрес сервера, который нужно вставить в настройках Claude:

https://tools--usesuperflow.run.tools

  1. Откройте Claude (сайт claude.ai или приложение для компьютера).
  2. Перейдите в Настройки → Коннекторы (в английском интерфейсе: Settings → Connectors).
  3. Нажмите Добавить пользовательский коннектор (Add custom connector).
  4. Вставьте адрес сервера, скопированный ниже, в поле URL удалённого MCP-сервера и нажмите Добавить.
  5. В чате нажмите + → Коннекторы и включите новый коннектор.

Пользовательские коннекторы доступны на тарифах Free, Pro, Max, Team и Enterprise. На Free можно добавить только один. В Team и Enterprise коннектор сначала добавляет владелец организации в Настройки организации → Коннекторы.

Авторизация

После нажатия Добавить откроется окно входа в сервис. Войдите под своим аккаунтом и подтвердите доступ. Пароль Claude не видит.

Как подключить Superflow Free Tools к ChatGPT

Адрес сервера, который нужно вставить в настройках ChatGPT:

https://tools--usesuperflow.run.tools

  1. Откройте ChatGPT в браузере (chatgpt.com). Нужен тариф Plus, Pro, Business, Enterprise или Edu.
  2. Один раз включите режим разработчика: Настройки → Приложения → Дополнительные настройки → Режим разработчика (Settings → Apps → Advanced settings → Developer mode).
  3. Откройте Настройки → Коннекторы и нажмите Создать (Create).
  4. Заполните форму: Название (любое), Описание (одна фраза, что делает сервис), URL MCP-сервера (скопируйте ниже).
  5. В поле Аутентификация выберите OAuth, если сервис требует вход, иначе Нет. Нажмите Создать.
  6. В новом чате откройте + → Приложения/Коннекторы и включите коннектор.

Название раздела у OpenAI менялось (Connectors → Apps/Plugins). Если пункт называется иначе, ищите «режим разработчика» в настройках. В рабочих пространствах Business/Enterprise администратор должен разрешить пользовательские коннекторы.

Авторизация

При первом использовании ChatGPT откроет окно входа в сервис. Войдите и подтвердите доступ.

Как подключить Superflow Free Tools к Cursor

Адрес сервера, который нужно вставить в настройках Cursor:

https://tools--usesuperflow.run.tools

Быстрый способ: нажмите кнопку Открыть в Cursor ниже, Cursor сам предложит добавить сервер.

Вручную:

  1. В Cursor откройте Settings → Cursor Settings → MCP и нажмите Add new global MCP server.
  2. Вставьте JSON, скопированный ниже, в открывшийся файл ~/.cursor/mcp.json (для одного проекта: .cursor/mcp.json в корне проекта).
  3. Сохраните файл. Сервер появится в списке MCP; при необходимости пройдите авторизацию по кнопке рядом с ним.

Авторизация

Если сервис требует вход, рядом с сервером в списке MCP появится кнопка авторизации.

Список инструментов сервера (13)

Технические названия из tools/list. Нужны только разработчикам.

check_ai_visibilityCheck whether AI assistants (ChatGPT, Claude, Perplexity, Google AI) can reach, read, and cite a web page. Runs the full suite: robots.txt rules per AI crawler, a live firewall test that requests the page as GPTBot, JavaScript dependency, llms.txt, headings, structured data, and author identity. Returns a score out of 100 with a grade, a score per category, and a finding per check with why it matters and how to fix it. Use this for a whole-page verdict; use check_robots_txt_for_ai when the question is only about crawler access. Returns { ok, report: { score, grade, scoredOutOf, categories[], findings[] with why and fix, detection }, cached, ageSeconds }. Limit: 10 runs per hour per IP. Allow up to 75s for a response. Free, no account, no API key.
check_robots_txt_for_aiTest a site's robots.txt against every AI crawler that matters (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot, Googlebot, Bingbot and the rest) and report which are allowed, which are blocked, and which rule decided it. Also runs a firewall test, because CDN-level blocks stop crawlers before robots.txt is ever read. This is the access-scoped view of check_ai_visibility. Returns { ok, report: { accessScore, crawlers[] with the rule that decided each verdict, firewall, findings[] }, cached, ageSeconds }. Limit: 10 runs per hour per IP. Allow up to 75s for a response. Free, no account, no API key.
generate_llms_txtGenerate llms.txt and llms-full.txt for a site, following the llmstxt.org convention. Inventories the site from its robots.txt, sitemaps, and homepage links, then writes an index file and a full file with page content inlined. Deterministic: no model is involved, so two runs over an unchanged site produce the same bytes. Returns the file contents ready to write to disk. Returns { ok, report: { siteName, llmsTxt, llmsFullTxt, pagesDiscovered, pagesIncluded, truncated }, cached, ageSeconds }. Limit: 10 runs per hour per IP. Allow up to 75s for a response. Free, no account, no API key.
page_to_markdownFetch one web page and convert it to clean CommonMark, with the navigation, cookie banners, and boilerplate stripped out. Use this to read a page as text an agent can reason over, or to publish a .md copy of a page alongside the HTML. Returns { ok, report: { markdown, title, description, wordCount, bytes, truncated, httpStatus }, cached, ageSeconds }. Limit: 10 runs per hour per IP. Allow up to 75s for a response. Free, no account, no API key.
generate_json_ldRead a page and write a schema.org JSON-LD block for it, then validate that block against the same checks a validator would run. The markup is model-written from the page's own content and should be reviewed before it is published. Returns the block ready to paste into a <script type="application/ld+json"> tag. Returns { ok, report: { detectedType, jsonLd, jsonLdString, validation: { findings[], passed }, model } }. Limit: 10 runs per hour per IP. Allow up to 75s for a response. Free, no account, no API key.
validate_json_ldRead the structured data already on a page and check it against Schema.org and what search engines actually accept. Reports every JSON-LD block found, the type of each, and the errors and warnings per block. Returns { ok, report: { blockCount, invalidBlockCount, declaredTypes[], eligibility[], categories[], findings[] } }. Limit: 10 runs per hour per IP. Allow up to 75s for a response. Free, no account, no API key.
check_social_previewRead a page's Open Graph and Twitter card tags and report how the link will render on X, LinkedIn, Facebook, Slack, Discord, and Google. Returns a per-platform preview (title, description, image) plus the findings for tags that are missing, truncated, or the wrong size. Returns { ok, report: { previews[] per platform, tags, summary, findings[] }, cached, ageSeconds }. Limit: 10 runs per hour per IP. Allow up to 75s for a response. Free, no account, no API key.
detect_tech_stackIdentify the platform, framework, CMS, ecommerce apps, analytics, CDN, and hosting behind a site by fingerprinting one page's HTML and response headers. One fetch, no rendering and no crawl, so it answers in about a second. A site behind bot protection is reported as blocked rather than as empty. Returns { platformName, theme, apps[], fonts[], analytics[], hosting[], renderMode, url, status, fetchedAt }. Limit: 60 runs per hour per IP. Allow up to 30s for a response. Free, no account, no API key.
check_faviconCheck whether a site's favicon actually works. Reads every icon declaration in the page head, then fetches each one, the web app manifest, and the implicit /favicon.ico, and identifies the real format and pixel dimensions from each file's header bytes. Catches the failures a status-code check misses: a catch-all route answering an icon path with HTML at HTTP 200, a sizes attribute that disagrees with the file, an icon served over http on an https page. Use this when a favicon is missing or blurry; use check_social_preview for the image that appears when a link is shared. Returns { hasWorkingFavicon, tabIcon, icons[] with format, dimensions, bytes and problem, manifest, themeColor, checks[] with id, status and fix, counts }. Limit: 60 runs per hour per IP. Allow up to 30s for a response. Free, no account, no API key.
capture_full_page_screenshotCapture a full-height PNG of a page in a real headless browser, scrolling first so lazy-loaded content renders. Returns a signed link to the image that expires in about 24 hours; download the bytes if you need to keep them. No watermark and no height cap. Cannot capture anything behind a login. Returns { imageUrl, expiresAt, bytes, width, height, deviceType }. Limit: 10 runs per hour per IP. Allow up to 90s for a response. Free, no account, no API key.
generate_alt_textFind every image on a page and draft alt text for the ones that need it, using a vision model that actually looks at the image. Lists every image with the alt it has today, the suggested alt, whether it looks decorative, and why any image was skipped. Up to 10 images per run go to the model. The suggestions are drafts for a human to review. Returns { images[] with src, hadAlt, currentAlt, suggestedAlt, isDecorative, skippedReason; counts; model }. Limit: 10 runs per hour per IP. Allow up to 90s for a response. Free, no account, no API key.
build_utm_urlBuild a campaign URL with utm parameters, normalised to one tagging convention, and report which GA4 default channel group the link will land in. Warns about the mistakes that silently break reporting: an unrecognised medium that drops traffic into Unassigned, casing that splits one source into several report rows, PII in a campaign name. Pure string work: nothing is fetched and nothing is stored. Returns { url, normalized, channel, issues[] with level, field and message }. Limit: None. The work is local and costs nothing.. Allow up to 10s for a response. Free, no account, no API key.
hash_md5Hash text to an MD5 hex digest. Useful for checksums, cache keys, dedupe keys, and Gravatar-style identifiers. MD5 is broken for anything security-related: never use it for passwords or to verify authenticity. Returns { md5, algorithm, bytes }. Limit: None. The work is local and costs nothing.. Allow up to 10s for a response. Free, no account, no API key.