Build an MCP Server for Infrastructure Tools
🛠Lab from the AI Platform Engineering Bootcamp. Used in Week 4. Bootcamp landing page: https://academy.tekanaid.com/bootcamps/ai-platform-engineering-bootcamp Parent course(s): - Week 4: AI Agents and Agentic Workflows (slug: ai-agents-104) 🟡 Beta bootcamp lab. Hands-on instructions, check scripts, and solve scripts are in place. Lab is part of the running Platform Assistant capstone arc that grows across all 8 weeks of the bootcamp. Create a Model Context Protocol (MCP) server that exposes Kubernetes tools to AI agents. Learn how MCP standardizes tool integration and enables interoperability between different AI systems.
Lab Overview
🛠Lab from the AI Platform Engineering Bootcamp. Used in Week 4. Bootcamp landing page: https://academy.tekanaid.com/bootcamps/ai-platform-engineering-bootcamp Parent course(s):
- Week 4: AI Agents and Agentic Workflows (slug: ai-agents-104)
🟡 Beta bootcamp lab. Hands-on instructions, check scripts, and solve scripts are in place. Lab is part of the running Platform Assistant capstone arc that grows across all 8 weeks of the bootcamp.
Create a Model Context Protocol (MCP) server that exposes Kubernetes tools to AI agents. Learn how MCP standardizes tool integration and enables interoperability between different AI systems.
What You'll Learn
Create an MCP server with the Python SDK
Implement tool definitions using MCP protocol
Expose Kubernetes operations as MCP tools
Connect MCP clients to consume server tools
Test end-to-end tool invocation through MCP
Technologies Covered
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