Connect AI Agents to Telemetry with Observe MCP & CLI

Details

Snowflake announced general availability of a redesigned Observe MCP server and a new Observe CLI, both exposing the same telemetry access surface. The practical implication: coding assistants like Claude Code can now query Observe telemetry directly when investigating errors — before an engineer opens a ticket — and AI SREs can correlate failures across services without being paged. The key design choice is full API/MCP/CLI parity: every operation available through the redesigned MCP server is also available as a CLI command. This enables two distinct interaction patterns: autonomous background agents (routine alert triage running without human presence) and interactive copilots (working alongside engineers during incident investigations). Both tools ship with a library of prebuilt "skills" — structured observability workflows built from common incident patterns — reducing the engineering effort to build agent-assisted operations workflows. Engineers have already built custom alert-triage agents that automatically query Observe when an alert fires, and copilots that assist during live incident investigations. This release reflects a broader shift in observability platform design: as agents increasingly consume operational data programmatically, platforms exposing only human-readable UIs become less useful in agentic workflows. MCP adoption by a production-scale observability platform like Snowflake Observe signals the protocol is becoming infrastructure-level for enterprise agentic tooling.