I built an MCP to discover data structures and context in your MCPs

I have been messing around for a long time with my agents going back and forth to understand the data structure from my clients, how they use their data was the key factor where my agents get lost at some point causing massive token waste just because of the try and error the agents tent to do. So i built an MCP to preprofile the use any MCP has in the context of each client/person of an org. Happy to chat about it and have feedback. I have some metrics on the repo, up to 57% token waste cut in complex tasks. My feeling is the higher the task complexity, the higher the token savings.

https://github.com/ieranama/discomcp