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by springwq • Analytics & Monitoring
An MCP server that lets AI agents access and analyze Kayzen advertising campaign data through a standardized Model Context Protocol interface.
List available Kayzen analytics reports and present them as structured options for further analysis.
Retrieve historical campaign metrics (by report, date range) to power dashboards or decision-making workflows.
Analyze report results to surface performance metrics, trends, optimizations, and anomalies in advertising campaigns.
This package implements a Model Context Protocol (MCP) server for interacting with the Kayzen Analytics API, providing automated authentication, report management, and error handling. It includes a TypeScript client with token refresh, environment-based configuration, and tooling to list reports, fetch report results, and analyze report data. The server is intended to make it easy for AI models and agents to query campaign metrics, derive insights, and detect anomalies without handling raw API details. Development and usage are configured via environment variables and standard npm scripts.
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