**Why Deploy MCP with ToolHive's K8s Operator?**
Model Context Protocol (MCP) makes AI agents intelligent and useful by providing them a standardized way to access context and take multi-step actions across your tools, data, and services.

We built [ToolHive](https://github.com/stacklok/toolhive) so we could take advantage of the benefits of MCP without the significant frictions and security concerns that we ran into when we tried to get started.

**What Will I Learn?**
In this interactive workshop, you'll learn how to automate the deployment of MCP servers in Kubernetes using [ToolHive's K8s Operator](https://github.com/stacklok/toolhive/tree/main/cmd/thv-operator). Using the K8s Operator makes it easy to automate MCP deployments using your existing K8s operational practices and, eventually, to centralize them for multi-user use.

In this meetup, we'll walk through:

* How to deploy an MCP server using [ToolHive's K8s Operator](https://github.com/stacklok/toolhive/tree/main/cmd/thv-operator)
* The architectural decisions that make it secure and scalable
* Where [ToolHive](https://github.com/stacklok/toolhive) is headed and how to get involved.

We'll also save plenty of time for questions and feedback!

**Who Should Attend?**

* Engineers exploring MCPs or building with AI agents
* DevSecOps and platform teams modernizing secure developer environments
* OSS contributors interested in early-stage AI infra

Whether you're just learning about MCP or already experimenting with your own MCP servers, this session will give you a fast, grounded way to continue exploring securely.

**🔗 RSVP now to get the livestream link and post-event resources.**

Stacklok Developer AI User Group

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Dan Barr

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Cody Soyland

Carlisia Campos

Giuseppe Scuglia

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Sarang Ardhapurkar

Launch a Secure MCP server with ToolHive’s K8s Operator (Live Demo)

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