Hands-on Lab: Leveraging MCP Servers for Agentic DataOps

Hands-on Lab

Agentic Data Engineering

Leveraging MCP servers for agentic DataOps

November 13, 2025 | 10am PT / 1pm ET

Ready to automate your DataOps workflows? All you need is an agent and an MCP server.

In this 45 minute, hands-on lab, you'll:

Build a monitoring & alerting agent

Give your agent access to MCP servers

Test and refine your agent

Deploy your agent with DevOps best practices

About this Hands-on Lab

October 29, 2025 | 10am PT / 1pm ET

Want to see agentic data engineering in action? Join us for a 45-minute hands-on lab where you'll build a real monitoring and alerting agent that responds to pipeline failures.
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This session will walk through building a custom agent and connecting it to tools via MCP servers so that they can take automated action. You'll learn:
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- How MCP (Model Context Protocol) servers extend agent capabilities
- Design principles for building automated agentic responses
- Best practices for agent deployment

By the end, you'll have a working agent and a framework for testing any agent you build in the future.

In this exclusive session we'll cover

How to build custom AI agents for your data operations

Create specialized agents tailored to your pipeline requirements and deploy them in real-world scenarios.

Connecting agents to external tools via MCP servers

Hook your monitoring agent up to Slack for real time agentic alerting.

Best practices for deploying agents into production

Follow standard practices to ensure safe and effective agentic operations.

Featured Speaker

Ayush Maganahalli is Lead Field Data Engineer at Ascend.io, where he helps data teams leverage AI to deliver trusted data faster. As an expert in agentic data engineering, Ayush works directly with customers across industries, from healthcare, to retail, to finance to implement product data pipelines, using AI.

Ayush Maganhalli

Lead Field Data Engineer @ Ascend.io