Docs

PandaCrawl Docs

PandaCrawl setup and reference docs for MCP, AI clients, and workflow configuration.

Set up PandaCrawl MCP

Connect PandaCrawl MCP to Claude, Codex, and other AI clients.

Add PandaCrawl Agent Skills to Claude Code, Codex, or another AI agent so it can run repeatable SEO workflows with live PandaCrawl data.

Add PandaCrawl MCP and Agent Skills to Claude Code with one marketplace and one install command.

Add PandaCrawl MCP and Agent Skills to Codex with one marketplace and one install command.

Run PandaCrawl yourself with Docker or Cloudflare, bring your own DataForSEO API key, and pay only for what you use.

Run competitive SEO research with your AI agent: map market leaders, content patterns, keyword coverage, backlinks, and gaps.

Analyze one competitor's keywords, pages, backlinks, content themes, and SEO gaps with your AI agent.

Cluster keywords by intent and map them to existing or proposed pages with your AI agent.

Find keyword opportunities from live SEO data with Claude Code, Codex, or another AI agent.

Find relevant link prospects from SERPs, competitor backlinks, and topical publishers with your AI agent.

Audit a Google Business Profile, compare it to local competitors, and map Google Maps visibility around a location with your AI agent.

Audit a website with your AI agent and get a one-page, plain-language SEO report built around a single next action.

Learn SEO basics, choose the right workflow, and decide what to do next with your AI agent.

Interview once and save your site's goals, positioning, competitors, and key pages to your PandaCrawl project context.

Add PandaCrawl skill files to your AI agent after connecting PandaCrawl MCP.

Deploy PandaCrawl to your own Cloudflare account for internet-facing, multi-device, or team use.

Run PandaCrawl locally with Docker Compose using the published GHCR image.