SEO·GEO Hub

Dual-engine growth platform

Model Context Protocol Server

Connect AI clients to your SEO + GEO data.

Our MCP server exposes platform tools to any MCP-compatible AI client, enabling autonomous agents to query rankings, fetch content, and run audits directly from their reasoning loop.

What is MCP?

The Model Context Protocol is an open standard that lets AI models securely connect to external tools and data sources. By exposing your SEO·GEO Hub workspace over MCP, any compliant agent can read your visibility data and trigger actions without custom integration code.

Configuration

Add the server to your MCP client config using the endpoint below. Authenticate with a workspace API key (create one in Settings → API Keys).

MCP Endpoint

POST /api/mcp

JSON-RPC 2.0

GET /api/mcp also returns a health check with the list of available tools.

Example client config

{
  "mcpServers": {
    "seo-geo-hub": {
      "url": "https://your-domain.com/api/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Available tools

The following tools are exposed over MCP:

get_keywords

List tracked keywords with volume, intent, and position.

get_rankings

Fetch current rankings for a keyword or URL.

get_content

Retrieve content assets with SEO & GEO scores.

get_visibility_trend

Pull SEO + GEO visibility trend over a date range.

get_audit_issues

List on-page audit issues by severity.

get_competitor_traffic

Get competitor traffic benchmarks.

Usage

Once connected, ask your MCP client to 'show my top declining keywords' or 'audit my homepage for GEO issues'. The agent will call the relevant tool and return structured results from your workspace.

Next step

Start building with MCP

MCP

Connect your AI client to SEO·GEO Hub and let agents query your visibility data autonomously.

Get started