Show HN: Product analytics (and evals) for agent sessions on your MCP

The development

We’re Theodore and Louis, founders of Armature (YC P26). We reconstruct the entire session behind the MCP tool calls you receive, including what the user asked their agent to do and what the agent thought.

Why show matters

You wrap your MCP in 3 lines of code (our SDK is available in Typescript, Python and Go) and start seeing in your dashboard: - All sessions reconstructed: it’s like reading the real conversation the user had inside Claude or ChatGPT. - A ranking of your MCP most popular use cases, built from sessions clustering - The most frequent issues your users’ agents encounter so you can fix them.

What led here

be/ZFlvquhyNMQ The story behind this is that we initially launched Armature as a standalone testing tool (https://www

Where this fits in Signal Ledger

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The editorial angle

- A ranking of your MCP most popular use cases, built from sessions clustering - The most frequent issues your users’ agents encounter so you can fix them. ) that could naturally be used through an MCP itself.