Proofstack

AI-visibility check

Remote Model Context Protocol server for ProofStack — a library of audited indie product business cases. Every figure is read from a published source (pricing pages, founder posts, transparency dashboards) and linked, so AI assistants can cite evidence instead of guessing.

Endpoint (Streamable HTTP, no auth required):

https://proof-stack-lake.vercel.app/mcp

Tools

Tool	What it does
search_cases	Search the audited product library (40+, grows weekly) by keyword, category, business model, or acquisition channel
get_case	Full case detail: pricing tiers, revenue disclosures, acquisition operations, what to copy / what not to copy, and source URLs for every claim
pricing_benchmarks	Median first paid tier, free-tier prevalence, and paywall-capability distribution, computed from published pricing pages

Example client configuration

{
  "mcpServers": {
    "proofstack": {
      "url": "https://proof-stack-lake.vercel.app/mcp"
    }
  }
}

Works with any MCP client that supports remote Streamable HTTP servers (Claude Desktop / Claude Code, Cursor, etc.).

Data honesty rules

• Revenue that is not publicly disclosed is returned as unknown — never estimated.
• Acquisition narratives are researched from first-party sources; cases that have not been researched yet say so explicitly instead of returning template text.
• Every case ships its evidence: source URLs with evidence grades (A/B/C).

Open dataset: the full case library and benchmarks are downloadable at proofstack-dataset (CC BY 4.0).

More machine-readable context: llms.txt · Pricing benchmarks · Case library

Free tool: AI-visibility check

Can GPTBot and ClaudeBot actually read your site? Run the free check (robots rules, llms.txt, sitemap, server rendering, JSON-LD) and get a shareable scorecard + README badge: https://proof-stack-lake.vercel.app/ai-check