What is Page2AI — Web to Markdown?

Convert web pages or HTML to clean Markdown for LLM context. Local, no external API calls.

How do I install Page2AI — Web to Markdown?

Clone Page2AI — Web to Markdown from https://github.com/igorsaevets/page2ai-mcp and configure it as an MCP server in your client (Claude Desktop, Cursor, or VS Code).

Is Page2AI — Web to Markdown open source?

Yes, Page2AI — Web to Markdown is open source under the MIT license. Source code is available at https://github.com/igorsaevets/page2ai-mcp.

What category does Page2AI — Web to Markdown belong to?

Page2AI — Web to Markdown is listed under Documentation MCP servers on MCPFind.

Page2AI — Web to Markdown — MCP Server for Documentation

@page2ai/mcp — Web to Markdown for LLM Context

_{No downloads badge on purpose: npm download counts are dominated by registry mirrors and
bots, and this README only shows numbers a human can trust.}

One-click webpage-to-Markdown MCP server for ChatGPT, Claude, and Gemini. Preserves code blocks with language hints, tables, and reading structure. Fetch, extract, convert — one tool, one command, entirely on your machine. No API key, no account, no telemetry; the only network requests are to the URLs you pass it.

Companion to the Page2AI Chrome & Firefox extensions; both share the same @page2ai/core extraction library.

Quick start

npx -y page2ai-mcp

This starts the stdio MCP server — it waits silently for a client, so wire it into one of the clients below rather than running it bare. Requires Node.js 20+. No API key. If npx ever serves you a stale cached version, run npx -y page2ai-mcp@latest once.

page2ai-mcp is a thin unscoped wrapper around @page2ai/mcp; since 0.2.5 it follows the latest server automatically via a ^ range.

Hosted endpoint (beta) — no install at all

For clients that only accept a remote MCP server URL (Streamable HTTP):

https://page2ai-mcp-remote.vercel.app/api/mcp

Same tool, same code (see remote/), rate-limited per IP. Privacy trade-off: URLs sent to the hosted endpoint are fetched from that server, so they transit infrastructure operated by the author (on Vercel). Running locally via npx keeps everything on your machine — prefer it when you can.

Claude Code

claude mcp add page2ai -- npx -y page2ai-mcp

Claude Desktop

One-click bundle: download page2ai-mcp-<version>.mcpb from the latest release, then in Claude Desktop open Settings → Extensions → Advanced settings → Install Extension… and pick the file.

Or add to claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then fully quit and restart Claude Desktop:

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

Cursor

Or add to ~/.cursor/mcp.json (global) / .cursor/mcp.json (project):

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

VS Code (GitHub Copilot)

code --add-mcp '{"name":"page2ai","command":"npx","args":["-y","page2ai-mcp"]}'

Or add to .vscode/mcp.json:

{
  "servers": {
    "page2ai": { "type": "stdio", "command": "npx", "args": ["-y", "page2ai-mcp"] }
  }
}

Codex CLI

codex mcp add page2ai -- npx -y page2ai-mcp

Gemini CLI

gemini mcp add page2ai npx -y page2ai-mcp

Antigravity

agy mcp add page2ai npx -y page2ai-mcp

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json (macOS/Linux) or %USERPROFILE%\.codeium\windsurf\mcp_config.json (Windows):

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

Zed

Add to settings.json (zed: open settings file):

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

Other MCP clients

Any client that speaks MCP over stdio works — Cline, Continue, JetBrains AI Assistant, LM Studio and others. Point their MCP server settings at the same command: npx -y page2ai-mcp.

Letting an AI agent install it

If an AI agent (Cline, Claude Code, Codex, …) is doing the setup for you, point it at llms-install.md — a machine-oriented install guide with the exact command per client and a verification step.

Tools

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."

What a call returns

Verbatim output of page_to_markdown(url="https://docs.anthropic.com/en/api/messages"), captured 2026-08-29 on core 0.1.7, truncated:

---
title: "Messages"
source: "https://platform.claude.com/docs/en/api/messages"
captured_at: "2026-08-29T09:01:05.806Z"
extractor: "page2ai-core"
extractor_version: "0.1.7"
extractor_source: "content-negotiation"
---
# Messages

## Create a Message

**POST** `/v1/messages`

Send a structured list of input messages with text and/or image content, and the
model will generate the next message in the conversation.

YAML front matter (title, source, capture timestamp, extractor provenance), then the article as clean Markdown — headings, tables and fenced code preserved, navigation and chrome dropped.

Configuration

No setup required — every argument has a sensible default. page_to_markdown accepts:

Argument	Type	Default	Effect
`url`	string, required	—	Absolute http(s) URL to convert. Private ranges, loopback and cloud metadata endpoints are blocked (SSRF guard)
`include_images`	boolean	`true`	Keep `![alt](src)` image references in the output
`include_frontmatter`	boolean	`true`	Prepend the YAML front matter block
`timeout_ms`	integer	`15000`	Abort the fetch after N ms (1000–60000)

Privacy

@page2ai/mcp collects no data, sends no telemetry, and makes no external network calls beyond the URLs you explicitly provide. Note that your AI client (Claude, ChatGPT, …) still sends the extracted Markdown to its own model provider under that client's privacy policy — that part is outside this server's control. See PRIVACY.md for details.

The optional hosted endpoint is different by nature: URLs you ask it to convert are fetched from a server operated by the author (deployed on Vercel), and Vercel keeps its standard operational logs. No accounts, no tracking. If that trade-off matters for your use case, run the server locally — it is the same code.

Protocol revisions

Since 0.2.0 this server answers both MCP protocol revisions on the same stdio connection:

Revision	How a client opens the connection	Served
`2026-07-28`	`server/discover`, carrying `io.modelcontextprotocol/protocolVersion` in `_meta`	yes
`2025-11-25` and earlier	the `initialize` handshake	yes

serveStdio picks the era from the opening message and pins one server instance for the life of the connection, so clients on older SDKs are unaffected. Note that a message carrying no version claim is treated by the specification as a 2025-era opening; server/discover without that _meta field is therefore answered with -32601 rather than being upgraded.

Verify against a build with the raw JSON-RPC frames, without a client library:

printf '%s\n' '{"jsonrpc":"2.0","id":1,"method":"server/discover","params":{"_meta":{"io.modelcontextprotocol/protocolVersion":"2026-07-28"}}}' | node dist/index.js

Known advisories

None. Moving to the v2 SDK removed 90 transitive packages (117 production dependencies down to 26) and with them the @hono/node-server advisory that 0.1.x carried through the monolithic @modelcontextprotocol/sdk; that package pulled the HTTP and OAuth server stack even for a stdio-only server. npm audit is clean as of 0.2.0.

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

Pick the channel by what you have, not by what is quickest to type:

You have	Use
A bug, a page that extracts badly, a feature idea	GitHub issues — public and searchable, so the fix helps the next person too
A security vulnerability	Private vulnerability reporting, see SECURITY.md. Do not open a public issue
A usage question	Docs first, then an issue

About the author

Written and maintained by Igor Saevets — AI expert and founder of Page2AI. Full bio: igorsaevets.github.io/page2ai-docs/about/.

These are identity and collaboration links, not the support queue. A bug reported in a DM is a bug nobody else can find later, so anything you want fixed belongs in the table above.

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

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

Page2AI — Web to Markdown