--- title: "Connect AI Agents to Telemetry with Observe MCP & CLI" url: https://daily.dev/posts/connect-ai-agents-to-telemetry-with-observe-mcp-cli-s1035qs2f source_url: https://www.snowflake.com/en/blog/observe-mcp-server-cli-ai-agents-telemetry type: article source: "Snowflake" published: 2026-08-13T17:44:20.338Z updated: 2026-08-13T17:44:41.967Z tags: ["ai-agents", "observability", "mcp", "snowflake"] reading_time: 5 upvotes: 2 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Connect AI Agents to Telemetry with Observe MCP & CLI **[Snowflake](https://daily.dev/sources/snowflake)** · 5 min read · 2 upvotes · 0 comments ## Summary Observe by Snowflake announced general availability of a redesigned MCP server and a new CLI with full feature parity, giving AI agents and engineers direct programmatic access to telemetry data. The rearchitected MCP server drops the previous LLM intermediary, letting agents query Observe's APIs and context graph directly, reducing latency and cost. Both tools ship with prebuilt skills for common observability workflows like incident investigation, failure tracing, and outlier detection, and work with agent environments like Claude Code as well as interactive terminal sessions. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What changed in Observe by Snowflake's new MCP server compared to the old one? The redesigned MCP server removes the custom LLM intermediary that previously interpreted queries and returned answers through a single endpoint. Agents now connect directly to the same APIs that power Observe's frontend, letting them query the context graph, explore data sets, and write OPAL queries themselves, cutting latency and cost for every call. _Engineers weighing observability platforms for AI agent workflows can track these architecture shifts on daily.dev._ ### Does Observe by Snowflake have a CLI that supports AI agent workflows? Yes, a new agent-compatible CLI was released with full parity to the MCP server, meaning every operation exposed to agents through MCP is also available as a CLI command. It works in agent environments like Claude Code as well as interactive terminal sessions, and ships with prebuilt skills for tasks like incident investigation and outlier detection. _Teams automating incident response with AI agents can follow tooling updates like this via daily.dev._ ## Similar posts on daily.dev - [Four ways engineering teams use the Datadog MCP Server to power AI agents](https://daily.dev/posts/four-ways-engineering-teams-use-the-datadog-mcp-server-to-power-ai-agents-kxxssk2xn) · Datadog · 1 upvotes · 0 comments - [Grafana's gcx and MCP Server Reach GA for Telemetry-Driven Agent Development](https://daily.dev/posts/grafana-s-gcx-and-mcp-server-reach-ga-for-telemetry-driven-agent-development-ga8ictzcz) · InfoQ · 1 upvotes · 0 comments - [6 Tools for MCP Observability](https://daily.dev/posts/6-tools-for-mcp-observability-tarx5an6i) · Nordic APIs · 0 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#observability](https://daily.dev/tags/observability), [#mcp](https://daily.dev/tags/mcp), [#snowflake](https://daily.dev/tags/snowflake) [View this post on daily.dev](https://daily.dev/posts/connect-ai-agents-to-telemetry-with-observe-mcp-cli-s1035qs2f)