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Here is a step-by-step introduction to building a workflow with a custom AI agent that uses MCP. I explain every component in the video: 1. Building the MCP server 2. Building the agent and an MCP client 3. Building a workflow that uses the agent The goal is simple:... show more

Santiago

451,949 subscribers

51,527 views • 1 year ago •via X (Twitter)

Education Science & Technology

Anya Rossi• Live Now

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8 Comments

Santiago1 year ago

By the way, if you need to orchestrate a workflow, check out Kestra. It supports 600+ plugins and is a much more modern alternative to AirFlow. Here are some of the highlights of Kestra: • Kestra is free and open-source • You install it from a Docker container • Workflows as Code using YAML <--- this is awesome • Scales to millions of executions • It integrates with every cloud platform you've seen • Language agnostic (but I still like Python the most) Here is Ketra's GitHub Repository: And here is the same video on my YouTube channel:

Breadcrumb1 year ago

Looking to automate reporting? Use AI agents to turn spreadsheets to reports in minutes without any coding.

ryan yang1 year ago

mcp setup's solid. modular approach here—start with core agent, test phased workflows. key: track latency between steps. iterate before scaling. cuda arrays can bite if not isolated early.

Esteban Marin1 year ago

Thanks, very detailed. The confirmation I was needing

ZRho1 year ago

amazing I was researching free open source workflow engines to integrate with agents.

Abe1 year ago

@grok what is MCP?

Kevin L. Freeman1 year ago

It looks great, but I don't like not knowing what long term scaling costs will be without having to deal with a sales team. If Kestra had flat rate prices on their site, it would be easier to see if it's worth my time.

Angel Luis Ortega Ar1 year ago

@HeyGenLabs Spanish

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56,558 views • 1 year ago

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