Frequently Asked Questions about the Kayzen Analytics MCP Server

Q: What is an MCP Server? A: An MCP (Model Context Protocol) Server acts as a bridge, allowing AI models to access and interact with external data sources and tools in a standardized way.

Q: What is the purpose of the Kayzen Analytics MCP Server? A: It allows AI models to easily access and analyze advertising campaign data from the Kayzen Analytics API.

Q: What are the main features of the Kayzen Analytics MCP Server? A: Automated authentication, report management, comprehensive error handling, TypeScript support, and environment-based configuration.

Q: What tools are available in the Kayzen Analytics MCP Server? A: list_reports, get_report_results, and analyze_report_results.

Q: How do I install the Kayzen Analytics MCP Server? A: Use the command: npm install @feedmob-ai/kayzen-mcp.

Q: What configuration is required to use the server? A: You need to create a .env file with your Kayzen credentials (username, password, and basic auth token).

Q: How do I list available reports? A: Use the list_reports tool.

Q: How do I retrieve results for a specific report? A: Use the get_report_results tool, providing the report_id and optionally start_date and end_date.

Q: What does the analyze_report_results tool do? A: It analyzes report results and provides insights, including performance metrics, key trends, and areas for optimization.

Q: How do I integrate this with Claude Desktop? A: Add the provided JSON configuration to your claude_desktop_config.json file.

Q: What are the prerequisites for development? A: Node.js (v16 or higher), npm (v7 or higher), and Kayzen API credentials.

Q: What are the main dependencies? A: @modelcontextprotocol/sdk, axios, dotenv, and zod.

Q: How does the server handle errors? A: It handles authentication failures, invalid API requests, network issues, token expiration, and invalid parameters with informative error messages.

Q: What license is the server distributed under? A: MIT License.

Q: Who is the author of the Kayzen Analytics MCP Server? A: FeedMob.

Q: Where does UBOS fit in with the MCP Server? A: The Kayzen Analytics MCP Server is a component that can be used with the UBOS AI Agent Development Platform to create and deploy AI-powered advertising applications.