← ai-visibility-index.dev
INDIVIDUAL MCP TOOL
check_ai_visibility
Check the AI visibility (LLMO/GEO) score for a specific domain.
LIVE ENDPOINT
https://ai-visibility-index.dev/mcp
Connect to this endpoint to inspect the live schema for check_ai_visibility and invoke it with your own arguments.
Indexed input schema
{}Risk classification
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.
Parent server
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.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.
Related tools
list_ai_visibility_industries— List all industries covered by the AI Visibility Index with their average LLMO/GEO scores, company counts, and score ranges.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.