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PageWire

Turns any public web page into markdown, with metadata and multi-page crawls, via a pay-per-call HTTP API and MCP server.
At a glanceswept Oct 24, 2026

not read yet

Use

For
Developers building AI agents that need public web pages as clean markdown, paying per call.
Runs as
API
Used for
  • convert a public web page into markdown
  • fetch a page's metadata, icons and structured data
  • read a page along with up to four linked same-site pages
Worth knowingcomputed from what we read · each with its source
How a program reaches itfound, not claimed · read Oct 26, 2026
  • MCP serverdev.pagewire/webverified in the MCP registry
  • Stateanswers, 3 toolschecked 2026-10-26
  • Address to connectpagewire.dev/mcp
  • OpenAPI spec4 pathsthe spec ↗

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Knowledgeby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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Not it? Say what you need

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Three tools from the Atlas for the job you describe, each with what fits and what does not.

From people who use itnot part of the reading

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Questions this page answers
  • What is PageWire?

    Turns any public web page into markdown, with metadata and multi-page crawls, via a pay-per-call HTTP API and MCP server. It is listed in the Atlas under Knowledge.

  • Who is PageWire for?

    Developers building AI agents that need public web pages as clean markdown, paying per call.

  • Do people use PageWire?

    Little sign of use.

  • What are alternatives to PageWire?

    In Knowledge, by use: MDflow, Stashr, Monkt, Quant Data, PageSpeed → CLAUDE.md, Quercle.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk