Question 1

What is an MCP Server?

Accepted Answer

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.

Question 2

What is the purpose of the Kayzen Analytics MCP Server?

Accepted Answer

It allows AI models to easily access and analyze advertising campaign data from the Kayzen Analytics API.

Question 3

What are the main features of the Kayzen Analytics MCP Server?

Accepted Answer

Automated authentication, report management, comprehensive error handling, TypeScript support, and environment-based configuration.

Question 4

What tools are available in the Kayzen Analytics MCP Server?

Accepted Answer

`list_reports`, `get_report_results`, and `analyze_report_results`.

Question 5

How do I install the Kayzen Analytics MCP Server?

Accepted Answer

Use the command: `npm install @feedmob-ai/kayzen-mcp`.

Question 6

What configuration is required to use the server?

Accepted Answer

You need to create a `.env` file with your Kayzen credentials (username, password, and basic auth token).

Question 7

How do I list available reports?

Accepted Answer

Use the `list_reports` tool.

Question 8

How do I retrieve results for a specific report?

Accepted Answer

Use the `get_report_results` tool, providing the `report_id` and optionally `start_date` and `end_date`.

Question 9

What does the `analyze_report_results` tool do?

Accepted Answer

It analyzes report results and provides insights, including performance metrics, key trends, and areas for optimization.

Question 10

How do I integrate this with Claude Desktop?

Accepted Answer

Add the provided JSON configuration to your `claude_desktop_config.json` file.

Question 11

What are the prerequisites for development?

Accepted Answer

Node.js (v16 or higher), npm (v7 or higher), and Kayzen API credentials.

Question 12

What are the main dependencies?

Accepted Answer

`@modelcontextprotocol/sdk`, `axios`, `dotenv`, and `zod`.

Question 13

How does the server handle errors?

Accepted Answer

It handles authentication failures, invalid API requests, network issues, token expiration, and invalid parameters with informative error messages.

Question 14

What license is the server distributed under?

Accepted Answer

MIT License.

Question 15

Who is the author of the Kayzen Analytics MCP Server?

Accepted Answer

FeedMob.

Question 16

Where does UBOS fit in with the MCP Server?

Accepted Answer

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.

Kayzen Analytics Server

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