analog-mcp 0.6.1

Model Context Protocol server for Analog — Analog lets any AI understand websites as code, from any MCP client.

analog-mcp

A Model Context Protocol server for Analog — Analog lets any AI understand websites as code — usable from Claude Desktop, Cursor, and anything else that speaks MCP. Webpages in, structured records out: deterministic, zero-shot, no LLMs in the extraction pipeline.

The headline tool is analog(url). Point it at a webpage; get back structured records (articles, pricing tables, product listings, etc.) already parsed into JSON. Same one-call shape as the Python SDK.

Tools

• analog(url, pages=N) — extract a page; returns the structured JSON plus a handle. Pass pages=N (max 50) to follow the site's own next-page links and merge up to N pages into one result (each page costs one extraction; the sweep is disclosed on the response).
• assess(url) — check which tool fits a page for your task: the page's measured markdown size plus task-keyed guidance (working with the data → analog; one quick question → read it directly; a platform data feed spotted → worth knowing), so you route a page without spending an extraction. No sign-in required.
• analog_history(limit=N) — list saved results, newest first, as cheap metadata (handle, url, when saved, size) to recover a handle you no longer have in context.
• analog_open(handle) — re-open a previous result by handle, no re-fetch.
• analog_export(handle, fmt) — re-emit it as json / csv / yaml / md.
• analog_section(handle, index) — pull one section's records.
• analog_find(handle, pattern, field=) — search a result's records across sections; pass field= to scope the search to one field.
• analog_describe(handle) — a token-cheap preview of a saved result (section shapes plus sample records) for orienting without pulling the full JSON.
• analog_feedback(...) — report a page that extracted poorly (reason labels are enumerated in the tool's schema) or send a free-form feature request.

Every analog result is saved locally, so the analog_* tools re-slice it without re-fetching or re-rendering the page.

Install

pip install analog-mcp

Or via uv:

uvx analog-mcp     # one-off
uv tool install analog-mcp

Sign in

analog-mcp installs the analog CLI alongside it. Sign in once:

analog login

This opens your browser, signs you in, and stores the key in the CLI's local credential store — analog-mcp reads it from there, so no key ever lands in an MCP config file.

Analog renders pages with a built-in headless browser that downloads on first use (~150 MB, one-time). To fetch it ahead of time so the first analog tool call doesn't pause, run analog browser install.

Configure your MCP client

Claude Desktop

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

{
  "mcpServers": {
    "analog": {
      "command": "analog-mcp"
    }
  }
}

Restart Claude Desktop. The analog tool will appear in the tool list. No env block is needed — analog-mcp reads the credential you stored with analog login.

Cursor / other MCP clients

Same idea — the server command is analog-mcp and it speaks stdio. Refer to your client's MCP configuration docs for the exact file location.

Usage

Once configured, just ask the agent things like:

Extract the speakers from https://example-conference.com/2026

The agent calls analog(url=…) under the hood. The tool returns self-contained JSON with the parsed records plus a markdown rendering of the page, which the agent can then reason over directly.

Full documentation: https://getanalog.io/docs

What this version ships

analog-mcp exposes the extraction tool analog(url), a local routing check assess(url), and the analog_* re-slice tools, over the stdio transport.

License

MIT — see LICENSE.

Links

• Homepage: https://getanalog.io
• Python SDK: analog-sdk on PyPI