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prooflayered.com

Scans public B2B SaaS websites for growth bottlenecks.

1 endpoint1 known toolsFirst detected July 25, 2026Last detected July 25, 2026

ENDPOINT 1

https://prooflayered.com/mcp

No auth detected

MCP server metadata

Name
prooflayered
Version
1.0.0
Capabilities
tools
Server instructions

ProofLayered finds the public growth bottleneck of a B2B SaaS company. growth_bottleneck_scan is free and passive. The paid $490 diagnosis adds a signed report and deploy-ready fix packs.

Known tools 1

growth_bottleneck_scan

Free passive scan of a public B2B SaaS website.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.prooflayered]
url = "https://prooflayered.com/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "prooflayered": {
      "type": "http",
      "url": "https://prooflayered.com/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: prooflayered
Remote MCP URL: https://prooflayered.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "prooflayered": {
      "url": "https://prooflayered.com/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "prooflayered": {
      "type": "http",
      "url": "https://prooflayered.com/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "prooflayered",
  "transport": "streamable-http",
  "url": "https://prooflayered.com/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.