INDIVIDUAL MCP TOOL

visora_free_scan

Start a free 8-engine AI visibility scan for a domain (ChatGPT, Google AI, Gemini, Copilot, Perplexity, Doubao, DeepSeek, Qwen).

visoraco.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://visoraco.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for visora_free_scan 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.visora]
url = "https://visoraco.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "visora": {
      "type": "http",
      "url": "https://visoraco.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: visora
Remote MCP URL: https://visoraco.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": {
    "visora": {
      "url": "https://visoraco.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "visora": {
      "type": "http",
      "url": "https://visoraco.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "visora",
  "transport": "streamable-http",
  "url": "https://visoraco.com/mcp"
}

MCP Inspector

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

visora_check_robots — Fetch a site's robots.txt and show the full AI-bot access matrix — every known training crawler, AI search indexer, and user-triggered agent, grouped by bucket (training/search/agent/other).
visora_agent_readiness — Compute an Agent Readiness Score (0-100 + grade) for a URL: can AI agents fetch, read, and act on this page?
visora_bot_taxonomy — Explain the three-bucket model for AI bots (training / search / agent) and list every known AI bot token with operator, bucket, whether it honors robots.txt, and notes.