ProofStack MCP Server
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
