Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Tracora MCP Server Show me my active brands"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Tracora'daki marka ve sorgu verilerinizi Claude Desktop, Claude Code veya Cursor gibi MCP (Model Context Protocol) destekli asistanlara bağlar. İki araç sunar:
list_brands — hesabınızdaki aktif markaları listeler
list_queries — çalıştırılmış AI görünürlük sorgularını ve sonuçlarını listeler (marka/rakip geçti mi, atıf alınan kaynaklar)
Bu araçlar, mevcut Tracora public API'sinin ince bir sarmalayıcısıdır — kendi API anahtarınızla kimlik doğrular, salt-okunurdur.
cd mcp-server
npm install
npm run buildBir API anahtarını Tracora → Ayarlar → API Anahtarları sayfasından oluşturun.
Related MCP server: 1ClickReport MCP Server
claude_desktop_config.json (veya Claude Code'un MCP ayar dosyası) içine ekleyin:
{
"mcpServers": {
"tracora": {
"command": "node",
"args": ["/tam/yol/tracora-app/mcp-server/dist/index.js"],
"env": {
"TRACORA_API_KEY": "trk_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
}
}
}
}Kurulumdan sonra asistanınıza "Tracora'da hangi markalarım var?" veya "ChatGPT'de son sorgularımda rakiplerim ne sıklıkla geçiyor?" gibi sorular sorabilirsiniz.
This server cannot be deployed
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