MygomSEO MCP Server - SEO Audits for Claude & Cursor

TL;DR

MygomSEO (opens in new tab) now offers a direct MCP server that connects AI tools like Claude and Cursor to your live site. It runs real audits, delivers structured fixes, and works with zero setup. Early adopters get 30% off with code EARLYADOPTERLAUNCH.

Your AI Already Knows How to Fix It

Manual SEO audits are slow and frustrating. You run a scan, copy the findings into your AI tool, and get back vague suggestions that may or may not be accurate. Teams spend more time wrestling with prompts than actually fixing anything.

We built MygomSEO's MCP server to change that - a direct connection between your AI assistant and your live site that delivers exact fixes without any prompt engineering.

What is Model Context Protocol?

Most SEO tools give you a report and leave you to figure out the rest. You get a long list of problems, you manually prioritize them, and you spend hours trying to explain them to your AI tools in a way that produces useful output. More often than not, the AI fills in the gaps with guesses.

Model Context Protocol changes that. It's a standard that lets AI assistants do more than chat - they connect directly to external services, interact with real data, and take action based on what they actually find. Your AI isn't making things up anymore. It's reacting to the same evidence you see.

How the MCP Server Works

MygomSEO's MCP server brings six tools directly into your AI workflow: preview_site, start_audit, get_audit, list_findings, get_fix_plan, and get_page_detail.

Every tool automatically registers when your client connects. No manual setup, no wrestling with API documentation. The server also sends built-in instructions to your AI on connect, so it already knows the full workflow - preview the site, run the audit, poll until done, and lead with the most impactful fixes. You don't need to engineer any of that yourself.

When findings come back, they arrive as structured codes like meta.description.missing or security.hsts.missing - each with severity, impact, effort, category, recommendation, and raw evidence attached. Your AI has everything it needs to act, not guess.

The server works out of the box with Claude Code, Cursor, Claude Desktop, and Codex.

For SEO Agencies

Picture dropping a prospect's URL into Claude during a sales call. Thirty seconds later, you have a live audit, prioritized fixes, and hard evidence - all before the conversation has moved past introductions.

Weekly client check-ins that used to take an hour become five-minute conversations. Batch auditing competitors is a single prompt. Every finding is backed by real data from your MygomSEO (opens in new tab) workspace, not a generic scan.

For Engineering Teams

Developers can wire the MCP endpoint directly into CI pipelines. Every pull request triggers an audit against the staging or preview URL, and findings come back as precise structured codes - not vague summaries. Engineers see exactly what needs fixing at commit, not after a launch day fire drill.

Claude Code and Cursor connect to the same endpoint. The agent reads the structured findings and writes fixes directly into the codebase - editing meta tags, adding missing headers, fixing alt text. Because the findings include exact values and evidence, the AI acts on real data instead of hallucinating solutions.

For Growth, Sales and Content Teams

Anyone who can type a URL can now run an audit. Marketers use it to quality check landing pages before they go live. Sales teams qualify inbound leads by dropping their site into a chat. Support teams can quickly check whether a customer's ranking drop correlates with a site issue.

Content teams benefit just as much. Before any article goes live, a writing agent can call get_page_detail on the preview URL and fix meta descriptions, heading structure, missing alt text, OG tags, and internal links - automatically, before the page ever reaches a human reviewer.

Why Structured Findings Matter

Most AI tools hallucinate fixes because they're working from vague summaries. MygomSEO's findings are different. Every issue ships as a stable code with severity, impact, effort, category, recommendation, and raw evidence.

When your agent sees security.hsts.missing it knows exactly what the problem is, how serious it is, how much effort it takes to fix, and what the fix looks like. That precision is what separates real automation from expensive guesswork.

SEO That Actually Gets Fixed

The problem was never finding SEO issues. Every tool does that. The problem was the gap between finding them and actually fixing them - the manual work, the copy-pasting, the prompt engineering, the hallucinated solutions.

MygomSEO's MCP server closes that gap. Your AI connects directly to your site, gets exact structured data, and writes real fixes. Audits stop being a separate project and become part of how you ship.

Start with a free trial or claim 30% off as an early adopter with code EARLYADOPTERLAUNCH.