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SEO MCP
MCP server giving AI agents 23 scoped tools over real crawl, link and CWV data
Visit SEO MCP
https://seomcp.co
About SEO MCP
SEO MCP connects an AI agent to real crawl data over the Model Context Protocol, so SEO questions get answered from evidence rather than from whatever the model remembers about best practice. It exposes 23 focused tools covering projects, crawls, technical audits, internal and external links, images, uptime and Core Web Vitals, and the design emphasis is on keeping the evidence attached: an agent asked to find broken internal links and prioritise the fixes returns the count, the affected source pages, and the reasoning for the ordering — the example on the site surfaces six navigation links that affect 81 percent of crawled pages first, with source URLs still attached to every recommendation. That structured-output discipline is what separates it from asking a chatbot about your site. Authentication is OAuth with PKCE against your member account, and the connection is permission-aware and scoped narrowly to `mcp:use`, so an agent can only retrieve the data your account is entitled to inspect and nothing more. The flow the docs describe is deliberately three-step: connect a compatible MCP client, describe an SEO outcome in plain language, and let the client choose the structured tools rather than the operator hand-picking them. Documented workflows cover finding 4xx pages, tracing broken links and comparing releases across crawls.
Key Features
SEO MCP Pros & Cons
✅ Pros
- +Answers are backed by real crawl records, not model recall
- +Scoped OAuth rather than a raw API key handed to an agent
- +Structured tools mean the agent picks the right call itself
⚠️ Cons
- −No public pricing page
- −Requires a member account with crawl data already in it
- −Only useful inside an MCP-capable client
Who Is SEO MCP Best For?
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