FireSEO MCP

FireSEO is an MCP server that connects Google Search Console, plus SERP data alongside it, to an AI coding editor so SEO analysis happens where the pages are actually edited. The premise is straightforward: a model suggesting title tags without performance data is guessing, while the same model holding a page's real impressions, clicks, and average position can point at the pages sitting just below a rank threshold and say which ones are worth the edit. Through the server an agent pulls Search Console performance broken out by query, page, country, and device over a date range, compares two periods to see what moved, and inspects the query set behind a single URL. A site health check layers on top of that, flagging on-page issues found on crawled pages, and SERP lookups return the pages competing for a given query. Fetched data is cached, so repeated analysis within a working session does not re-hit the source every time. The server is advisory by design. It reads and suggests, and a human applies the change in the editor. That suits solo developers and small teams running content sites who want SEO context inside the workflow they already use, rather than a separate dashboard and a separate export to reconcile.