From Prompt to Production: Observability for Engineers and AI Agents with Coralogix MCP + CLI – EMEA Session

About this event

October 6th at 2 pm BST

Engineering workflows are no longer just human-driven. AI agents are increasingly writing code, investigating issues, querying systems, and taking action alongside engineers, and that shift changes how teams need to think about access to observability.

In this 45-minute webinar, Lewis Isaac, Developer Advocate at Coralogix, walks through how Coralogix MCP and the Coralogix CLI create new ways for both engineers and AI agents to interact with your observability platform. Engineers can work directly from the terminal, IDE, or AI assistant, while agents can use MCP and the CLI to query telemetry, investigate problems, and take action as part of their own workflow.

You’ll see practical, end-to-end examples showing where the CLI, MCP, and UI each fit, and how they work together to reduce context switching, keep engineers in control, and make observability accessible to both humans and agents.

By the end of the session, you will learn how to:

• Give AI agents controlled access to observability context through MCP
• Let agents investigate telemetry and answer operational questions
• Work with Coralogix directly from your terminal and AI development environment
• Automate repeatable observability workflows with the Coralogix CLI
• Combine human judgment with agent-driven investigation and action
• Choose the right interface for engineers, automation, and agents