Page2ai MCP Server

@page2ai/mcp — Web to Markdown for LLM Context

Turn any web page into clean Markdown for Claude, ChatGPT, or your own LLM.

Companion to the Page2AI Chrome extension. Shares the same @page2ai/core extraction library. Zero external API calls — runs entirely on your machine using linkedom.

Install

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%/Claude/claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "page2ai": {
      "command": "npx",
      "args": ["-y", "@page2ai/mcp"]
    }
  }
}

Restart Claude Desktop.

Cursor

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project):

{
  "mcpServers": {
    "page2ai": {
      "command": "npx",
      "args": ["-y", "@page2ai/mcp"]
    }
  }
}

Windsurf

Add to ~/.windsurf/mcp.json:

{
  "mcpServers": {
    "page2ai": {
      "command": "npx",
      "args": ["-y", "@page2ai/mcp"]
    }
  }
}

Zed

Add to settings.json:

{
  "context_servers": {
    "page2ai": {
      "command": {
        "path": "npx",
        "args": ["-y", "@page2ai/mcp"]
      }
    }
  }
}

VS Code (with Continue or GitHub Copilot Chat)

Refer to your MCP-compatible extension's documentation. The command is npx -y @page2ai/mcp.

Tools

Example prompts

1. Fetch documentation and answer questions:

"Use page_to_markdown to fetch https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking and summarize the three main use cases for extended thinking."

2. Extract API reference into a code snippet:

"Fetch https://ai.google.dev/gemini-api/docs/thinking with page_to_markdown, then generate a Python code sample using the thinking budget parameter."

3. Compare two documentation pages:

"Fetch both https://docs.anthropic.com/en/docs/prompt-engineering and https://platform.openai.com/docs/guides/prompt-engineering with page_to_markdown, then summarize the differences in approach."

Configuration

None required in v0.1. All extraction options use sensible defaults.

Future versions will support options via tool arguments:

• include_images (boolean, default false)
• include_frontmatter (boolean, default true)
• profile (string, one of auto | docs | marketing | research | dashboard | wordpress-marketing, default auto)

Privacy

@page2ai/mcp collects no data, sends no telemetry, and makes no external network calls beyond the URLs you explicitly provide. See PRIVACY.md for details.

Known advisories

npm audit will surface a moderate finding in @hono/node-server (a transitive dependency of @modelcontextprotocol/sdk). That vulnerability lives in the SDK's HTTP/OAuth server path; @page2ai/mcp uses only the stdio transport and never loads that code path, so it is not exploitable through this package. The audit line will clear once the SDK bumps its Hono constraint to >=2.0.5.

Development

git clone https://github.com/igorsaevets/page2ai-mcp
cd page2ai-mcp
npm install
npm run build
node dist/index.js  # runs stdio MCP server

Test with MCP Inspector:

npx @modelcontextprotocol/inspector node dist/index.js

Support

• GitHub issues: https://github.com/igorsaevets/page2ai-mcp/issues
• Author: Igor Saevets (igorsaevets@gmail.com)

License

MIT — see LICENSE. Copyright © 2026 Igor Saevets.

Related

• Page2AI Chrome extension — https://github.com/igorsaevets/page2ai-extension (same extraction core, distributed as a browser extension for humans)
• @page2ai/core — https://npmjs.com/package/@page2ai/core (the shared extraction library)
• page2ai-mcp (unscoped) — https://npmjs.com/package/page2ai-mcp (thin wrapper around this package, published so npx -y page2ai-mcp works without a scope prefix)
• Software Heritage archive — SWHID swh:1:snp:05123c51ef9e7c0aeb06f42b1263c07a8d26999a