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URLpipe MCP Server

answering

URLpipe is answering right now. Last checked moments ago. It exposes 17 tools. Last commit 12 Oct 2026.

Read any page with its JavaScript run: Markdown, screenshots, metadata, console errors, Lighthouse.

Uptime history 38 days of history · worst day 98%
38 days agonow
100.0%
Uptime 24h
92 of 92 checks
17
Tools
read from the server
209 ms
Response time
average over 24h
0
Stars
last commit 12 Oct 2026

What changed 29

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 30 September 2026. No other catalogue keeps this.

21 Oct 2 tools changed the parameters they ask for capture_screenshot, scrape_url
12 Oct 11 tools changed the parameters they ask for capture_console_errors, capture_pdf, capture_screenshot and 8 more
12 Oct a tool changed version
11 Oct 9 tools changed the parameters they ask for capture_console_errors, capture_screenshot, extract_keywords and 6 more
11 Oct 3 tools appeared capture_pdf, detect_technologies, extract_data
11 Oct a tool description was rewritten get_result
30 Sep a tool description was rewritten extract_metadata
30 Sep a tool changed version

Nothing serious here today

Today is the operative word: we check URLpipe every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 0 min ago.

run in your terminal
claude mcp add mcp --transport http https://urlpipe.dev/mcp
Settings → Connectors → Add custom connector, then paste this address
https://urlpipe.dev/mcp
~/.codex/config.toml
[mcp_servers.mcp]
url = "https://urlpipe.dev/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://urlpipe.dev/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "mcp": {
      "type": "http",
      "url": "https://urlpipe.dev/mcp"
    }
  }
}

Available tools 17

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

capture
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 and client-side errors you cannot reproduce locally.
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 today. pdf_options choose the paper, the orientation, the margins and the scale, whether backgrounds print, whether the page's print stylesheet or its on-screen look is used, and whether to cut it into sheets at all; page_options wait for the page and take ads and cookie banners out of it.
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 an anti-bot page actually showed us. screenshot_options size it (viewport, scale, one element, the fold only), encode it (png, jpeg or webp) and restyle it (dark mode, hidden elements, your own CSS); page_options wait for the page and take ads and cookie banners out of it.
extract
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, number, integer, boolean, date, datetime, url, email, object (with its own fields) and array (with items). Use it for product details, prices, contact data, job listings, event dates, lists of items with several attributes each. 24 credits: it reads the whole page with an AI model, so prefer extract_metadata when the standard metadata is all you need.
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 everything.
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 video, favicon and icons, logo, feeds, keywords, canonical URL, robots directives, hreflang alternates, oEmbed endpoint and structured-data types, plus the raw og: and twitter: tags. A value the page does not declare is null or an empty list. Values injected by JavaScript are included, because the page is rendered first. 1 credit.
detect
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 open database of over 7,000 fingerprints. Each technology comes with its version when the page gives it away, a confidence from 0 to 100, its categories, its website and CPE, and which signals gave it away (html, meta tags, headers, cookies, JavaScript globals, DOM, script URLs and contents, stylesheets, DNS records, robots.txt). The page is rendered first, so technologies loaded by JavaScript are found too. 1 credit.
html
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 the page's content, fetch_markdown costs the same and returns a fraction of the text.
lighthouse
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 else here. It fetches the page itself rather than sharing a visit, so asking for it inside scrape_url costs two page visits, not one.
markdown
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 the most compact thing to put in front of a model: fetch_html returns the whole DOM, which is usually many times larger and says nothing extra about what the page means.
projects
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 organization, so which project you pick does not change what a call costs.
request
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 whether the result was reused, why an analysis failed, and whether the delivery to the project's endpoint succeeded.
requests
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 token returns all of them. Pass labels to see only the requests made with them — every key given must match its value exactly.
result
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 is how an async call is collected: any tool called without sync: true answers with a token, and this turns that token into the result. It also re-reads a result somebody already paid for, which is free — results are kept for 30 days. A request that has not finished yet answers {"status": "processing"}; call again in a moment.
scrape
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 exit is charged per page VISIT, so several results off one visit pay the surcharge once. Answers with one object keyed by operation, each entry carrying its own success and result, so a partial failure still returns everything that worked. lighthouse does not share the visit — it runs its own audit on its own engine — so including it means two page fetches, and two surcharges when residential is on. So does a screenshot whose screenshot_options set viewport_width, viewport_height, device_scale_factor, dark_mode or block_ads: those change how the page loads, so the screenshot gets a visit of its own.
summarize
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 gives you the whole page for 1 credit and you can summarize it yourself — this tool is for when the summary is the artefact being produced, not a step on the way to one.
usage
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 against 1,700. It is also how to read a refusal — a call that comes back with quota_exceeded is telling you this number ran out.

Endpoints

URLTransportStateLatencyChecked
https://urlpipe.dev/mcp streamable-http answering 215 ms 0 min ago

Alternatives to URLpipe

same job, measured the same way
Screenshotline
by mamubeenkhan

Screenshot any web page, or read it as clean Markdown, with consent banners, ads and popups removed.

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Web access for AI agents: URL to Markdown, link metadata, screenshots, links and images of any URL.

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Urlbox
by urlbox

Screenshots, PDFs, video, markdown and page data from any website, via Urlbox.

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Web Reader & Search (Tanod)
by tanod

Web search for agents: page to Markdown, screenshots, news search, metadata, sitemaps and RDAP.

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switch402
by switch402

Markdown scrape, site map, page metadata, screenshots, web search and PDF to text. Pay per call

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SnapRender
by snap-render-app

Give AI agents eyes: screenshot any URL as PNG, JPEG, WebP or PDF, or read it as markdown.

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rasterly
by rasterly-dev

Web toolkit for AI agents: read any URL as Markdown, screenshot, extract data, or crawl a site.

50 installs/wk local only
R
rasterly
by jhonychain

Web toolkit for AI agents: read any URL as Markdown, screenshot, extract data, or crawl a site.

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URLpipe — questions

Answers built from our own checks of this server.

What can URLpipe do?
It exposes 17 tools, read directly from the server on our last check. Among them: capture_console_errors, capture_pdf, capture_screenshot, detect_technologies, extract_data, extract_keywords and 11 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is URLpipe mostly used for?
Its tools cluster around capture and extract. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is URLpipe working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 209 ms. The bar chart above shows every period we have measured.
How do I connect URLpipe?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does URLpipe need an API key?
No. URLpipe completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 17 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is URLpipe?
It answers our handshake in 209 ms on average, which is faster than 68% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is URLpipe open source?
The code is open source: it is published under the MIT licence and 0 stars on GitHub. The licence covers the code in the repository, not the hosted service at urlpipe.dev, which runs on its operator's own terms.