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Extracting FreshService Analytics Report Data Using the Model Context Protocol (MCP) and LLM
In this blog, I’ll walk you through how to extract data from FreshService Analytics reports and use the Model Context Protocol (MCP) with an LLM to interact with it. While FreshService provides a built-in solution with Freddy AI for engaging with analytics, I want to take it a step further. Instead of relying solely on those built-in tools, I’ll show you how to work directly with the raw data — like tickets, user interactions, and SLA metrics — extracted from the platform, with a focus on insights gained through network analysis.
I’ll also introduce the Model Context Protocol (MCP), which you can think of as a universal USB-C adapter for AI tools. It standardizes how your AI interacts with FreshService (and other platforms), saving you from having to reinvent the wheel every time you need to pull data or automate workflows.
What is the Model Context Protocol (MCP)?
The Model Context Protocol (MCP) is a standardized framework designed to simplify how…
