5 Use-cases with Ansible Automation Platform MCP Server - YouTube

[IPvSean (Sean Cavanaugh)]

MCP server for Ansible Automation Platform is tech preview. The Model Context Protocol (MCP) is an open standard and open-source framework to standardize the way artificial intelligence (AI) systems like large language models (LLMs) integrate and share data with external tools, systems, and data sources. Here are 5 Use-cases with Ansible Automation Platform MCP server:

5 Use-cases with MCP server for Red Hat Ansible Automation Platform

If you have questions, concerns, ideas, feel free to comment below or use the GitHub repo for this project here: GitHub - ansible/aap-mcp-server · GitHub

[akira6592 (Akira Yokochi)]

Thanks for sharing the video was really helpful.

I tried it out myself while following the AAP documentation, and it worked great.

I also ended up writing a blog post about my experience in Japanese.

[Ansible/AAP] 自然言語で AAP を操作できる AAP MCP サーバーをためしてみた - てくなべ (tekunabe)

I’m looking forward to what’s coming next!

[Thretent]

@IPvSean

MCP server for Ansible Automation Platform is tech preview. The Model Context Protocol (MCP) is an open standard and open-source framework to standardize the way artificial intelligence (AI) systems like large language models (LLMs) integrate and share data with external tools, systems, and data sources. Here are 5 Use-cases with Ansible Automation Platform MCP server: As a side note, it’s interesting how the same AI ecosystem is expanding into consumer applications as well. For example, if you need professional profile photos without a photoshoot, a headshot app iphone can generate business-style headshots in just a few minutes.

This is an interesting direction. What stands out to me is that MCP can make interacting with Ansible feel much more conversational without replacing the existing automation workflows. Instead of manually digging through documentation or writing everything from scratch, you can ask an LLM to inspect inventories, generate playbooks, explain failures, or trigger automation using a standardized interface.

That said, since it’s still a tech preview, I’d be curious to hear how it performs in real environments. Things like authentication, permissions, audit logging, and guardrails become especially important when an AI is able to execute or suggest infrastructure changes.