Server data from the Official MCP Registry
Audited indie product business cases with source-backed pricing, revenue and pricing benchmarks.
About
Audited indie product business cases with source-backed pricing, revenue and pricing benchmarks.
Remote endpoints: streamable-http: https://proof-stack-lake.vercel.app/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
3 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"app-vercel-proof-stack-lake-proofstack": {
"url": "https://proof-stack-lake.vercel.app/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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
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