All servers · Company & business data · Scraping & browsing

ShortlistLens

io.github.CleanDev-Fix/shortlistlens · v0.1.0

Measured by MCP Station

Last check	Reachable
Checked at	—
Check success 7 / 30 days	—
First-try success 30 days	—
Median response	—
Lookups 30 days	—
Authentication	No auth
MCP version	2025-06-18
Rank score	—
Declared risk	Not declared (tools carry no read/destructive hints)
Capabilities declared	tools
Tool definitions	5 tools · with description 100% · input schema is an object 100% · read/destructive hints 0%

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

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

claude mcp add --transport http shortlistlens https://shortlistlens-mcp.streaming22box.workers.dev/mcp

{
  "mcpServers": {
    "shortlistlens": {
      "url": "https://shortlistlens-mcp.streaming22box.workers.dev/mcp"
    }
  }
}

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.

JSON · Text for agents · Registry updated 2026-08-21