MCP server
SEO AI Regent exposes a Model Context Protocol server so AI agents — Claude Code, Claude Desktop, Cursor, or anything MCP-capable — can query your SEO data and run audits and scoring on your behalf. The server is stateless over streamable HTTP and authenticated with an API key. Every tool is scoped to the workspaces you own, and plan entitlements apply exactly as they do in the dashboard.
Create a key at Account → API Keys, then connect:
# Claude Code claude mcp add --transport http seo-ai-regent \ https://seo-ai-regent.com/api/mcp \ --header "Authorization: Bearer sar_your_key_here" # Any MCP client (streamable HTTP, stateless) POST https://seo-ai-regent.com/api/mcp Authorization: Bearer sar_your_key_here Content-Type: application/json
Which MCP tools are available?
The server exposes 9 tools: they list Workspaces and Sites, read Site Health Scores, audit issues, Search Console opportunities, rank trends and Citation Checks, run audits, and score drafts live.
list_workspaceslist_sitesget_site_healthget_audit_issuesrun_auditget_opportunitiesget_rank_trendsget_citationsscore_contentScheduled rank checks and citation checks are paused, so get_rank_trends and get_citations return only results already recorded, which are not updating.
Scores returned by the tools come from the scoring engine the dashboard uses, with one difference: score_content counts only site-relative paths (such as /pricing) as Internal Links, while the editor also counts full URLs to your Sites. Publishing is blocked unless the Content Score reaches 70/100, the GEO Score reaches 70/100, and no signal is critical (below 40); either score below 50/100 is a hard block. Every Site Health Score comes with its per-severity deduction breakdown.
Agent Skills
Ready-made skills that teach an agent multi-tool SEO workflows on top of the MCP tools. Download one and drop it into your agent's skills directory (for Claude Code: .claude/skills/<name>/SKILL.md).