INDIVIDUAL MCP TOOL

video_channel

Every upload on a YouTube channel, read 50 at a time, sorted by views.

crawlcheck.ionone authenticationAvailability not checked

LIVE ENDPOINT

https://crawlcheck.io/mcp

No auth detected

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

{}

Potential side effects detected · medium confidence · heuristic, not a guarantee.

CONNECT WITH APPROVAL

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

Codex

~/.codex/config.toml

[mcp_servers.crawlcheck]
url = "https://crawlcheck.io/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "crawlcheck": {
      "type": "http",
      "url": "https://crawlcheck.io/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: crawlcheck
Remote MCP URL: https://crawlcheck.io/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": {
    "crawlcheck": {
      "url": "https://crawlcheck.io/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "crawlcheck": {
      "type": "http",
      "url": "https://crawlcheck.io/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "crawlcheck",
  "transport": "streamable-http",
  "url": "https://crawlcheck.io/mcp"
}

MCP Inspector

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

scan_domain — Scan a public domain as several crawler identities and return the graded record: grade, AI-visibility score, per-section scores, findings with evidence, and whether the origin refused CrawlCheck.
verify_crawler_log — Given raw web-server access-log lines, decide for each line that names a crawler (GPTBot, ClaudeBot, Googlebot, PerplexityBot.
corpus_state — Coverage of CrawlCheck's public dataset: how many distinct domains have been measured and how they split by platform, rendering, size, language and kind, with the strata that are still under-sampled.
resolve_robots — Resolve every named answer engine, search index and training crawler against a domain's robots.
draft_llms — Draft an llms.
fix_robots — The domain's served robots.
fix_entitymap — A starter entitymap.
video_check — One YouTube video against the video anchor model: metadata, chapters, captions and storyboard where observed, twelve checks each naming what it reads.