AGNTCon + MCPCon Europe 2026

Almost every observability project and vendor has shipped an MCP server in the past year.
Prometheus, Jaeger, and OpenTelemetry sit next to Grafana, Datadog, Honeycomb, Polar Signals, and a long list of others. This talk puts a few dozen of them side by side: how they handle transport, auth, tool design, and read/write access, and which ones do something genuinely interesting.

The data is what makes observability hard. Time series, distributed traces, and profiles are dense, high-cardinality, and deeply nested, and wrapping a JSON API in a few tools doesn't make any of that easier for an LLM to read. We'll look at how different servers represent these
signals, and what makes one format easy for a model to reason over while another just fills up the context window. We won't be proposing a new standard. The goal is to surface the best implementation patterns the industry has already converged on, so the audience can judge which observability MCP server to adopt (or build a better one themselves).