@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.
| Tool | Description | Read-only | Example |
|---|
page_to_markdown | Fetch a web page URL and convert to clean Markdown | ✅ | page_to_markdown(url="https://docs.anthropic.com/en/api/messages") |
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
Test with MCP Inspector:
npx @modelcontextprotocol/inspector node dist/index.js
Support
About the author
Written and maintained by Igor Saevets — AI expert and founder of Page2AI. Full bio and social links: igorsaevets.github.io/page2ai-docs/about/.
Build provenance
An MCP server runs with the privileges of whatever launched it, so where the tarball came from
is a security question, not a formality. Releases from v0.1.2 onward are published from GitHub
Actions with npm provenance: each
version carries a Sigstore attestation naming the commit and workflow run that produced it,
recorded in the public Rekor transparency ledger and shown as a badge on npmjs.com.
Check it before you trust it:
npm audit signatures
npm view @page2ai/mcp --json | jq '.dist.attestations'
License
MIT — see LICENSE. Copyright © 2026 Igor Saevets.