INDIVIDUAL MCP TOOL

list_ai_visibility_industries

List all industries covered by the AI Visibility Index with their average LLMO/GEO scores, company counts, and score ranges.

ai-visibility-index.devnone authenticationAvailability not checked

LIVE ENDPOINT

https://ai-visibility-index.dev/mcp

No auth detected

Connect to this endpoint to inspect the live schema for list_ai_visibility_industries and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

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

Codex

~/.codex/config.toml

[mcp_servers.ai-visibility-index]
url = "https://ai-visibility-index.dev/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "ai-visibility-index": {
      "type": "http",
      "url": "https://ai-visibility-index.dev/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: ai-visibility-index
Remote MCP URL: https://ai-visibility-index.dev/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": {
    "ai-visibility-index": {
      "url": "https://ai-visibility-index.dev/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "ai-visibility-index": {
      "type": "http",
      "url": "https://ai-visibility-index.dev/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "ai-visibility-index",
  "transport": "streamable-http",
  "url": "https://ai-visibility-index.dev/mcp"
}

MCP Inspector

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

check_ai_visibility — Check the AI visibility (LLMO/GEO) score for a specific domain.
get_ai_visibility_methodology — Get the AI Visibility Index scoring methodology: how LLMO/GEO scores are calculated, which AI engines are tested (ChatGPT, Claude, Gemini, Perplexity), query types, scoring formula, and data freshness.