We want to use MCP to analyze what is happening across our AI Agent conversations, but today we don't have access to the underlying conversation data. We can see workflow monitoring data and access the summaries that get passed into our cases, but the summary alone doesn't contain enough detail for the types of analysis we want to do.

Ideally, we'd be able to use MCP to query the full transcripts across AI Agent conversations, filter or segment them by customer/case attributes, and use an LLM to identify themes and trends.

This would allow us to do much deeper voice if customer and QA analysis without having to export conversation data into another system first.