I connected Claude to my SEO data. Here's the setup, and what to ask it

Every SEO tool I've used has the same workflow. Open the dashboard, find the chart that moved, export it, paste it into a chat window, then ask the AI what it means. The AI is good at the "what it means" part. The copying is the job nobody signed up for.

MCP (Model Context Protocol) removes the copying. It's an open standard that lets an assistant like Claude or ChatGPT call tools on a server you've connected, so it can read your data itself instead of waiting for you to paste it.

I build Ranklogs, an SEO platform, so full disclosure: this walkthrough uses our MCP server. The setup steps work the same way for any remote MCP server with sign-in.

The whole thing takes about two minutes.

claude mcp add --transport http ranklogs https://mcp.ranklogs.com/mcp Enter fullscreen mode Exit fullscreen mode Then start Claude Code, type /mcp, pick ranklogs and sign in through the browser window it opens.

This is the setup I use most. Claude Code can read what's wrong from your SEO data and then fix it in the repo: add the missing meta description, the schema, the internal link. It shows each change before saving it.

ChatGPT: turn on developer mode under Settings → Connectors → Advanced → Developer mode, add a connector pointing at the server URL and sign in when asked. Without developer mode, ChatGPT only exposes generic search and fetch, so you won't see the named tools.

Cursor: Settings → MCP Tools → Add new MCP server, paste the URL and sign in.

The server has 27 tools. You never call them by name; you ask in plain English and the assistant picks. Here's what's worked for me, with the tools it ends up calling:

"Which of my keywords dropped this week, and why?" It calls get_ranking_alerts, then get_audit_issues on the page that dropped. The useful part is the second call: a drop next to a fresh audit issue on the same page is usually the answer.

"What should I fix first on my site?" get_project_overview plus get_audit_issues. You get a short list ordered by impact, not 400 warnings sorted by severity.

"Does ChatGPT cite us for our main questions? If not, who does it cite instead?" get_ai_visibility and get_ai_citations. This is the one I'd start with if you've never looked. Most sites are surprised by who gets cited in their place.

"Find keywords my competitor ranks for that I don't, and pick the one I can actually win." get_keyword_battleground, then research_keywords to check volume and difficulty on the shortlist.

"Write the JSON-LD for this FAQ page." generate_schema. Paste the questions and answers; it returns valid markup.

The point isn't that an AI can read a chart. It's that the question you actually have ("what changed, why, what do I do") is answered by combining three or four reports, and that combining is exactly the busywork nobody wants. Connect the data once and you ask the question directly.

Setup guide with screenshots: ranklogs.com/mcp