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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:...

51,527 просмотров • 1 год назад •via X (Twitter)

Комментарии: 8

Фото профиля Santiago
Santiago1 год назад

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:

Фото профиля Breadcrumb
Breadcrumb1 год назад

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

Фото профиля ryan yang
ryan yang1 год назад

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.

Фото профиля Esteban Marin
Esteban Marin1 год назад

Thanks, very detailed. The confirmation I was needing

Фото профиля ZRho
ZRho1 год назад

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

Фото профиля Abe
Abe1 год назад

@grok what is MCP?

Фото профиля Kevin L. Freeman
Kevin L. Freeman1 год назад

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.

Фото профиля Angel Luis Ortega Ar
Angel Luis Ortega Ar1 год назад

@HeyGenLabs Spanish

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