bots.st/urlpipe
URLpipe
Run pages with JavaScript and extract results
3706 ms
answered our call
- State
- Answered
- Protocol
- MCP 2025-06-18
- Tools listed
- 17
- Answered
- 3 of the last 3 calls
How to reach it
- MCP, HTTP
https://urlpipe.dev/mcpNeeds header Authorization
What it can do
| Tool | What it says it does |
|---|---|
capture_console_errors | Exposes POST /console. Loads the page in headless Chrome and returns what it reported through console.error and console.warn during load, plus uncaught exceptions and unhandled promise rejections (not console.log). 1 credit. What you would open DevTools for: broken third-party scripts… |
capture_pdf | Exposes POST /pdf. Prints the whole rendered page to a PDF — JavaScript executed, web fonts and lazy-loaded images included, its headings as bookmarks. 1 credit, whichever options you use. Use it to archive or hand on a page as a document: a receipt, an article, a report, terms as they stood… |
capture_screenshot | Exposes POST /screenshot. Captures the whole rendered page as a PNG — JavaScript executed, web fonts and images included, exactly as a browser would draw it. 1 credit, whichever options you use. Use it to see a page rather than read it: layout, visual regressions, link previews, or checking what… |
detect_technologies | Exposes POST /technologies. Detects what a page is built with — CMS, e-commerce platform, JavaScript frameworks and libraries, analytics and tag managers, advertising and marketing tools, CDN, web server, programming language, payment providers, chat widgets, consent managers and more — from an… |
extract_data | Exposes POST /extract. Reads the page and fills an object YOU define: pass `fields`, each with a name, a type and a description of what to take from the page, and get back exactly those keys in that order. Anything the page does not give comes back null — values are never guessed. Types: string… |
extract_keywords | Exposes POST /keywords. Returns the 5–15 terms and phrases that best represent the page, ordered by relevance — ranked by a language model, not by raw frequency. 15 credits. As with summarize_page: if you are going to reason over the result yourself, fetch_markdown costs 1 credit and gives you… |
extract_metadata | Exposes POST /meta. Reads everything a page declares about itself — Open Graph, Twitter cards, meta tags, JSON-LD, microdata and links — into one object with the same keys on every page: title, description, site name, kind of page, language, authors, publication and update dates, share image and… |
fetch_html | Exposes POST /html. Returns the page's HTML after JavaScript has run and redirects have been followed — the DOM a real browser sees, not the empty shell curl returns. 1 credit. Use it when you need the markup itself: a specific attribute, a script tag, a structured-data block. If you want to read… |
fetch_markdown | Exposes POST /markdown. Renders the page in headless Chrome and converts its main content to clean Markdown — headings, lists, links and code kept, navigation, sidebars and cookie banners dropped. Start here when you want to READ a page. It is the cheapest operation we sell (1 credit) and by far… |
get_request | Everything about one past request except its result: what was asked for, how long each stage took, whether it came from the store, and how the webhook delivery went. This is the metadata; get_result returns the page itself. Reach for this one when a call did not do what you expected — it says… |
get_result | Exposes GET /result/:token. Returns the result of a past request, in the same form the call that made it would have returned — Markdown as Markdown, a structured operation as its object, a screenshot as an image, a PDF as an embedded application/pdf resource, a scrape as its combined object. This… |
get_usage | What the organization's plan allows, how much of it is left this period, and what each operation costs. Worth reading before a run of expensive calls: the operations differ by seventeen times in price, so the difference between fetch_markdown and summarize_page over a hundred pages is 100 credits… |
list_projects | The projects this token can reach, each with how many requests it has made in the last 30 days and where its results are delivered. Start here: every other tool takes a project_id from this list. A project is the unit a request is billed and recorded against — credits themselves belong to the… |
list_requests | A project's recent requests, newest first, with each one's token. Look here before fetching a page: if somebody already pulled it, passing that token to get_result returns the same result for nothing. A /scrape appears as one entry — its per-operation children are internal, and the scrape's own… |
run_lighthouse_audit | Exposes POST /lighthouse. Runs a real Google Lighthouse audit against the live page: performance, accessibility, best-practices and SEO scores plus Core Web Vitals. 2 credits — dearer than a page fetch because the audit runs in its own limited lane, so it also takes longer than anything… |
scrape_url | Exposes POST /scrape. Runs any subset of the other operations in one request, served from a single page visit where possible. Each operation is billed and stored exactly as the individual call would be, so this is not a discount — with one exception, and it is the reason to use it: a residential… |
summarize_page | Exposes POST /summarize. Returns a concise Markdown summary of the page's main content, with the navigation, ads and boilerplate left out. The most expensive operation we sell, at 17 credits, because it runs a language model over the page. If YOU are the model that will read it, fetch_markdown… |
In its maker's words
Read any page with its JavaScript run: Markdown, screenshots, metadata, console errors, Lighthouse.
- Website
- urlpipe.dev/mcp-server
- Source
- github.com/URLpipe/mcp
- Publisher
- urlpipe.dev
- Listed from
- the official MCP Registry as
dev.urlpipe/mcp - Version
- 1.4.0, updated 12 Oct 2026
- Kinds of work
- Browser and automation, Search and research, Documents and files
The domain it lives on
- urlpipe.dev
- registered 24 May 2026 (6 months ago), at 10dencehispahard, S.L.U.
From our own crawl of domain names: registry records and the home page as our crawler last saw it.
Every call we made
| When | What happened | Time |
|---|---|---|
| Answered | 3706 ms | |
| Answered | 3371 ms | |
| Answered | 1673 ms |
Next door
- Bowmark web data: LinkedIn, Amazon, YouTube, Reddit, Airbnb, InstagramScrape and automate logged-in web data
- SkyelightPin feedback to rendered elements with code
- TapAutomate and validate logged-in browser tasks
- String Web AccessFetch URLs, crawl sites, search web, return clean Markdown
- ShipvoSimulate a phone and automate UI actions
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