Skip to main content

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

Project description

analog-mcp

A Model Context Protocol server for AnalogAnalog 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_collection(handle, index) — query compatible physical sections as one identity-deduplicated records view while retaining their provenance.
  • 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

The server reads the credential stored by the analog CLI (it ships with analog-sdk), so install both tools:

uv tool install analog-sdk
uv tool install analog-mcp

Prefer pip? pip install analog-mcp in one environment puts both executables on PATH. uvx analog-mcp runs the server one-off, but signing in still needs the CLI installed.

Sign in

Sign in once:

analog signup   # new account: creates it and connects this terminal
analog login    # …or this, for an existing account

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

analog_mcp-0.7.1.tar.gz (26.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

analog_mcp-0.7.1-py3-none-any.whl (12.5 kB view details)

Uploaded Python 3

File details

Details for the file analog_mcp-0.7.1.tar.gz.

File metadata

  • Download URL: analog_mcp-0.7.1.tar.gz
  • Upload date:
  • Size: 26.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for analog_mcp-0.7.1.tar.gz
Algorithm Hash digest
SHA256 b6573ddfabc75ed24276092334872d96e2fcd2d093e9368bde3033b4bbfc3904
MD5 5b217079bc17a68c5ebebf96d5dfad0f
BLAKE2b-256 ae9941ac50a025bb32ff0c386a1f72a9eb411656883bfc672e85ece7154c6a87

See more details on using hashes here.

Provenance

The following attestation bundles were made for analog_mcp-0.7.1.tar.gz:

Publisher: release-mcp-python.yml on getanalog/monorepo

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file analog_mcp-0.7.1-py3-none-any.whl.

File metadata

  • Download URL: analog_mcp-0.7.1-py3-none-any.whl
  • Upload date:
  • Size: 12.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for analog_mcp-0.7.1-py3-none-any.whl
Algorithm Hash digest
SHA256 f93808c78ea77a4a60051811d60888f4d5eb6cff64ee1979c73169e04145a27f
MD5 6348efc6513d1e522aa2fc4c4da9b073
BLAKE2b-256 55a9c92ac20ed81d4120b9ff0c493d16dcdf2e899940be1a5fe18d9639cea897

See more details on using hashes here.

Provenance

The following attestation bundles were made for analog_mcp-0.7.1-py3-none-any.whl:

Publisher: release-mcp-python.yml on getanalog/monorepo

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page