E-commerce Analytics AI Assistant 📊
Pricing
Pay per event
E-commerce Analytics AI Assistant 📊
🤖 Transform your business data into actionable insights! Get comprehensive e-commerce analysis with AI-powered recommendations, delivered in multiple formats (HTML, PDF, Markdown). Perfect for entrepreneurs, marketers, and business analysts seeking data-driven growth strategies.
5.0 (1)
Pricing
Pay per event
1
Total users
2
Monthly users
2
Runs succeeded
>99%
Last modified
2 months ago
You can access the E-commerce Analytics AI Assistant 📊 programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "mcpServers": { "local-actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "easyapi/e-commerce-analytics-ai-assistant" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}Configure MCP server with E-commerce Analytics AI Assistant 📊
You can interact with the MCP server via standard input/output - stdio (as shown above), which is ideal for local integrations and command-line tools such as the Claude desktop client, or you can interact with the server through Server-Sent Events (SSE) to send messages and receive responses, which looks as follows:
{ "mcpServers": { "remote-actors-mcp-server": { "type": "sse", "url": "https://mcp.apify.com/sse?actors=easyapi/e-commerce-analytics-ai-assistant", "headers": { "Authorization": "Bearer <YOUR_API_TOKEN>" } } }}You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other supported MCP client of your choice.
If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.
