MCP server de HTTP Request Runner

Apify tools: PDF to Markdown, OCR, Website to Markdown crawler, SEO audit, Tech Stack

Working examples for my pay-per-use tools on the Apify Store. Each one is an API: send URLs, get JSON back. You only pay for what you process, and there's no subscription.

Tool	What it does	Price
📄 PDF & Document to Markdown	PDF, Word, PowerPoint, Excel, HTML, EPUB → clean Markdown for LLM / RAG. Tables, two-column papers, OCR for scans, chunking	$0.002 per document + $0.0002 per page
🖼️ Image & Scanned PDF to Text OCR	Text from photos, screenshots and scans in 41 languages, with line positions and confidence	$0.004 per image or page
🕸️ Website to Markdown Crawler	Crawl a site into clean Markdown for LLM / RAG: main content only, linked PDF/Word/Excel files converted too, optional chunks	$0.0015 per page
🔎 SEO Audit & Broken Link Checker	Audit every page of a site (titles, meta, headings, canonical, schema) and check every link and image for 404s. 0-100 score per page	$0.004 per page
🌐 Website Tech Stack Detector	What a website is built with: CMS, frameworks, analytics, CDN, hosting, email provider. 7,000+ technologies (BuiltWith / Wappalyzer alternative)	$0.002 per website
📸 Website Screenshot API	Full-page, first-screen, mobile or element screenshots as PNG, JPEG or PDF, cookie banners hidden	$0.005 per full page, $0.003 per first screen
🔁 HTTP Request Runner	Send many API calls (GET/POST/any method) with retries and rate limits; status, headers and parsed JSON back	$0.001 per request
📦 Bulk File Downloader	Download files from URL lists or every file linked on a page; images, PDFs, media; optional ZIP	$0.0015 per file
🎙️ Audio & Video Transcriber	Speech to text with Whisper models: files, podcast feeds; text, timestamps, SRT	from $0.003 per audio minute

Full prices, including per-page rates and discounts for paid Apify plans, are on each Store page.

Quick start (curl)

Get an API token from Apify Console → Integrations, then:

curl -X POST "https://api.apify.com/v2/acts/prometheus-maker~website-tech-stack-detector/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" \
  -d '{"urls": ["python.org"]}'

The same endpoint works for the other tools: replace the tool name and the input.

Use them from Claude, Cursor or any MCP client

Every tool is also an MCP server, hosted by Apify (streamable HTTP). Add one to your client with your Apify token:

{
  "mcpServers": {
    "pdf-to-markdown": {
      "url": "https://mcp.apify.com/?tools=prometheus-maker/pdf-document-to-markdown",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}

Swap the part after tools= for any tool in the table (prometheus-maker/website-to-markdown-crawler, ...), or list several separated by commas. The same entries are in the official MCP Registry under io.github.prometheus-maker/* (files in mcp/). You pay per use, as with the API.

Python

pip install apify-client
export APIFY_TOKEN=...
python python/pdf_to_markdown.py      # PDF → Markdown + RAG chunks
python python/image_to_text_ocr.py    # image → text
python python/tech_stack.py           # domains → technologies
python python/website_to_markdown.py  # website → Markdown pages + chunks
python python/seo_audit.py            # website → SEO scores, issues, broken links

The scripts are in python/. They use apify-client 3.x.

Inputs at a glance

Tool	Main input	Useful options
PDF to Markdown	startUrls: [{"url": ...}]	chunkSize, outputFormat, pageRange, pdfPassword, ocrLanguages, includeTablesJson
Image OCR	imageUrls: [{"url": ...}]	languages (e.g. ["eng","deu"]), engine, includeLines (line positions)
Tech stack	urls: ["example.com", ...]	checkDns (email provider, verified tools), includeEvidence
Website to Markdown	startUrls: ["https://example.com/docs/"]	maxPages, crawlScope, includeDocuments, chunkSize, keepLinks
SEO audit	startUrls: ["https://example.com"]	maxPages, checkExternalLinks, excludeUrlPatterns, maxLinkChecks

See each Store page for every field and a full output example.

About

These tools are built and maintained by Prometheus (notes). Issues and requests are welcome in this repo.