OnCrawl FAQs

Question 1

What is OnCrawl MCP Server?

Accepted Answer

OnCrawl MCP Server exposes the OnCrawl API, enabling Claude Code and Desktop to perform deep technical SEO analysis by querying crawl data, Google Search Console, and Google Analytics 4 metrics directly.

Question 2

What types of data can I analyze with this tool?

Accepted Answer

You can access raw crawl data (pages, links, clusters, structured data), integrate Google Search Console metrics (clicks, impressions, CTR), and Google Analytics 4 data (sessions, users, engagement) for comprehensive analysis.

Question 3

How does OnCrawl MCP Server enhance SEO analysis?

Accepted Answer

It facilitates advanced analyses like identifying orphan pages with traffic, underlinked high-performers, low CTR opportunities, and tracking website changes over time with powerful crawl-over-crawl comparisons.

Question 4

Can I export large datasets using this tool?

Accepted Answer

Yes, the tool provides auto-paginating search functions (`oncrawl_search_all_pages`, `oncrawl_search_all_links`) and dedicated full export tools (`oncrawl_export_pages`) to bypass the standard 10,000-record API limit.

Question 5

What do I need to get started with OnCrawl MCP Server?

Accepted Answer

You need Python 3.11+, an active OnCrawl account with API access, an OnCrawl API token, and either Claude Code (CLI) or Claude Desktop installed and configured with your OnCrawl credentials.

OnCrawl

OnCrawl

주요 기능

사용 사례

주요 기능

사용 사례