Public beta · Remote MCP server

Give your AI the evidence it needs before it makes a local-business shortlist.

ShortlistLens organizes the two things a serious buyer evaluates before requesting an estimate: public trust evidence and website evaluability.

MCP endpoint: https://shortlistlens-mcp.streaming22box.workers.dev/mcp
01 · WEBSITE

Inspect the decision path

Extract accessible title, service, proof, contact, hierarchy, and call-to-action signals from a public business page.

02 · REVIEWS

Organize supplied evidence

Turn public review excerpts and visible owner responses into positive themes, risk themes, and recovery signals.

03 · SHORTLIST

Compare consistently

Rank two to six candidates using transparent review-trust and website-evaluability inputs, then generate an implementation brief.

What the MCP server includes

Five narrow, explainable tools.

  • inspect_website — structured accessible website facts
  • score_website_evaluability — transparent 0–100 website rubric
  • organize_review_evidence — supplied-review taxonomy
  • compare_shortlist_candidates — a consistent comparison matrix
  • generate_paid_scope — a fixed implementation brief
For business operators

Use the diagnostic as the starting point.

The tool identifies where trust proof and the website decision path disagree. The implementation service converts that finding into a clear service page, proof placement, and qualified estimate path.

Fixed implementation scopes

Scorecard or 72-hour sprint.

The Buyer-Readiness Scorecard produces the evidence map and page architecture. The AI Buyer-Readiness Sprint adds complete service-page copy, a publish-ready page, and a qualified inquiry flow.