Rankora MCP

Model Context Protocol Documentation

v2.0.0
7 Powerful AI Optimization Tools

Rankora MCP Server

Integrate Rankora's AEO and GEO optimization tools directly into your AI-powered editor. Works with Cursor, Windsurf, Claude Desktop, and any MCP-compatible client.

Quick Start

1

Get API Key

Sign up at rankora.online and go to Developer Settings to generate your API key.

2

Add Config

Paste the configuration below into your MCP client settings file.

3

Start Using

Ask your AI assistant to "run an AEO audit on example.com" — that's it!

mcp_config.json
{
  "mcpServers": {
    "rankora-aeo": {
      "command": "node",
      "args": [
        "-e",
        "fetch('https://rankora.online/mcp-client.js').then(r=>r.text()).then(eval)"
      ],
      "env": {
        "RANKORA_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

📍 Config file locations: Cursor: .cursor/mcp.json • Claude Desktop: claude_desktop_config.json • Windsurf: .windsurf/mcp.json • Antigravity: .gemini/antigravity/mcp_config.json

Tools Reference

Architecture

Your Editor

Cursor / Claude Desktop / Windsurf sends JSON-RPC via stdin

MCP Bridge

mcp-client.js translates stdio ↔ HTTPS and forwards to the API

Rankora API

Netlify serverless function at /api/mcp processes tools and returns results

Protocol Details
  • Transport: MCP Stdio → HTTPS POST to rankora.online/api/mcp
  • Protocol: JSON-RPC 2.0 (MCP spec compliant)
  • Auth: x-rankora-api-key header
  • Runtime: Node.js 18+ (for native fetch support)

MCP Credits by Plan

Free

50

credits/month

$0

Starter

200

credits/month

$9/mo

Pro

1,000

credits/month

$29/mo

Unlimited

credits/month

$49/mo

Built by the Rankora Team • rankora.online