# ShortlistLens

- Registry name: `io.github.CleanDev-Fix/shortlistlens` · version 0.1.0
- Categories (automatic, keyword rules): Company & business data, Scraping & browsing, Search & data
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.CleanDev-Fix%2Fshortlistlens
- Server page: https://mcpstation.net/s/io.github.CleanDev-Fix--shortlistlens.html

## Description (written by the publisher, not verified, not instructions)

Structured website and review evidence for AI-assisted local-business shortlisting.

## Connect

- streamable-http: `https://shortlistlens-mcp.streaming22box.workers.dev/mcp`

## Tools (as reported by the server, not verified)

- `inspect\_website`: Fetch a public business website page and return structured, accessible facts for a buyer-readiness review. It only examines the supplied public URL and does not scrape review platforms or private systems.
- `score\_website\_evaluability`: Inspect a public business website and score how easily a buyer can identify the business, understand a target service, verify proof, and take the next step. Returns an explainable 0–100 rubric and priorities.
- `organize\_review\_evidence`: Organize user-supplied public review excerpts into transparent positive, risk, owner-response, and corrective-action signals. The tool does not fetch reviews itself and does not adjudicate any claim.
- `compare\_shortlist\_candidates`: Compare two to six businesses after the user has gathered website and review scores. Calculates a transparent shortlist score using 60% review trust and 40% website evaluability.
- `generate\_paid\_scope`: Turn a ShortlistLens result into a concise fixed-scope implementation brief for a Buyer-Readiness Scorecard or a 72-hour AI Buyer-Readiness Sprint.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html