Sentry’s new Seer Agent lets developers ask an LLM to hunt through error logs, traces, and profiles, turning raw telemetry into actionable insights. By speaking directly to the data lake, the agent cuts debugging time dramatically.

Seer, the AI layer, interprets every stored event and responds with a clear diagnosis. Users trigger it via the “Ask Seer” button or by tagging @Sentry in Slack, receiving a concise explanation of why an error occurred.

The core breakthrough is the Model Context Protocol (MCP), an open standard that unifies tool calling across providers. MCP reduces integration complexity from N×M to N+M, enabling a single wrapper to serve multiple LLMs.

With MCP, developers can expose internal APIs as standard tools, letting models request actions safely. The result is a robust, vendor‑agnostic agentic loop that delivers real‑world results without compromising security.