Accesses Akamai Reporting API v2 to generate traffic reports and forecasts via natural language.
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This tool operates as an MCP (Model Context Protocol) server, enabling large language models to directly interact with the Akamai Reporting API v2. It allows users to generate detailed traffic reports by hostname or CP code, analyze HTTP error rates, measure cache offload, and predict future traffic trends, all through intuitive natural language commands. Designed for easy integration with clients like Claude Desktop, it ensures credentials remain on the user's machine and offers multi-account support.
主要功能
01Discover all accessible Akamai accounts and their `accountSwitchKey`
02Retrieve traffic data (bytes, hits) grouped by hostname or CP code
03Export comprehensive traffic reports to a multi-sheet Excel file
04Analyze 4xx and 5xx HTTP error rates at edge and origin
05Forecast future traffic trends using linear regression or exponential moving average
060 GitHub stars
使用案例
01Predict future traffic volumes and trends for capacity planning or strategic decision-making.
02Monitor and diagnose potential issues by analyzing 4xx/5xx error rates and cache offload percentages.
03Generate comprehensive traffic reports across all Akamai accounts for specified time periods.
