MCP server

PageWire Official

dev.pagewire/web

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Web pages to Markdown, metadata and small crawls for agents. Free daily calls, then USDC x402/MPP.

Website

At a glance

Type

MCP server

Publisher

pagewire.dev (verified by the MCP Registry)

Status

Working at last check

Tools

3

Token cost

About 1,072 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http web https://pagewire.dev/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.web]
url = "https://pagewire.dev/mcp"

Gemini CLI

{"mcpServers":{"web":{"httpUrl":"https://pagewire.dev/mcp"}}}

Cursor

{"mcpServers":{"web":{"url":"https://pagewire.dev/mcp"}}}

VS Code

{"servers":{"web":{"type":"http","url":"https://pagewire.dev/mcp"}}}

Antigravity

agy mcp add web https://pagewire.dev/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"web","server_url":"https://pagewire.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"web","server_url":"https://pagewire.dev/mcp"}

Tools

• crawl_site Browses the web · ~402 tokens
  Fetch a public web page plus up to 4 pages on the same host that it links to (in link order, or only those whose path starts with `prefix`), and return each one as title + clean Markdown. Good for reading a docs section or a small site in one call. No model call, deterministic. For a single page use
• page_metadata ~330 tokens
  Fetch a public web page and return its metadata: title, description, canonical URL, language, OpenGraph and Twitter card tags, icons and parsed JSON-LD blocks. Use it for link previews, SEO checks or structured data (JSON-LD) without the page body; use page_to_markdown when you need the readable tex
• page_to_markdown ~340 tokens
  Fetch a public web page and return its title, description, clean Markdown (scripts, styles, nav chrome removed) and the list of links. No model call, deterministic. Use it to read the content of one page; use page_metadata if you only need title/OpenGraph/JSON-LD (cheaper), or crawl_site to read the

Browse

• Web scraping
• SEO
• Converting to Markdown
• Social media

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