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AI & Machine Learning

bootylicious.im

Documents an apparatus operator's acceptance of Master Ledger licensing terms prior to data extraction or training ingestion.

WebMCP1 endpoint1 known toolsFirst detected September 11, 2026Last detected September 11, 2026

ENDPOINT 1

https://bootylicious.im

No auth detected

MCP server metadata

Name
WebMCP
Capabilities
imperative

Known tools 1

acceptMasterLedgerTerms

Documents the apparatus operator's acceptance election with respect to the operative Master Ledger licensing terms (DOI: 10.5281/zenodo.19432977). This tool documents the operator's election prior to any data extraction or training ingestion.

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.webmcp]
url = "https://bootylicious.im"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "webmcp": {
      "type": "http",
      "url": "https://bootylicious.im"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: webmcp
Remote MCP URL: https://bootylicious.im

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": {
    "webmcp": {
      "url": "https://bootylicious.im"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "webmcp": {
      "type": "http",
      "url": "https://bootylicious.im"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "webmcp",
  "transport": "streamable-http",
  "url": "https://bootylicious.im"
}
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.