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I noticed the link doesn't go docs/security.md. I saw that we have the file, and the file name is misspelled (README.md on line 106).
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fixed 👍 |
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added dagger MCP |
kevinevans1
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Schiiss,
david-hurley,
jdeinum and
victoriacheng15
victoriacheng15
approved these changes
Jun 14, 2025
victoriacheng15
approved these changes
Jun 14, 2025
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Pull Request: Add AI Infrastructure Overview and Curated MCP Servers Guide
Overview
This PR introduces a comprehensive introduction to AI Infrastructure for Platform Engineering and a curated guide to top Model Context Protocol (MCP) servers. The updates are designed to help platform engineering teams and developers understand, adopt, and extend AI infrastructure and MCP integrations in modern, cloud-native environments.
Key Changes
Added a clear overview of what AI infrastructure is and why it matters for platform engineering.
Outlined core components: compute, storage, networking, orchestration, model serving, monitoring, and security.
Introduced modular submodules for:
Running LLMs inside Kubernetes (coming soon)
Running LLMs locally with Azure Foundry Local (coming soon)
Model Context Protocol (MCP) overview and usage
2. Model Context Protocol (MCP) Overview
Explained MCP’s purpose as a standard for connecting LLMs to data sources and tools, using a USB-C analogy for clarity.
Provided a concise, accessible summary of MCP’s client-server architecture.
Included a visual diagram and a text-based breakdown of MCP components.
Linked to official MCP documentation for further reading.
Curated List of MCP Servers
Added a well-formatted, easy-to-read table of the most relevant MCP servers for code-to-cloud teams.
Each server entry includes:
A concise, practical description
Maintainer information
Direct GitHub links
Example prompts for Azure MCP Server, demonstrating real-world usage
Included servers for Microsoft Docs, GitHub, Terraform, Azure DevOps, Azure, npm, Figma, OpenAPI, and Notion.
General Improvements
Improved formatting, whitespace, and section headings for readability and accessibility.
Added a clear “Contributing” section with a direct link to the CONTRIBUTING.md file.
Provided a summary of why MCP matters for platform engineering, highlighting grounded AI assistants, DevOps automation, analytics, and multi-agent workflows.
Why These Changes?
Clarity: Makes AI infrastructure and MCP concepts accessible to a broad audience.
Actionability: Provides practical guidance and real-world examples for immediate adoption.
Extensibility: Encourages community contributions and future expansion of the MCP server list.
Best Practices: Aligns with modern documentation and platform engineering standards.
How to Review
Read through the new ai_infrastructure.md and mcp/model_context_protocol.md files for structure and clarity.
Review the mcp/getting_started_with_mcps.md table for completeness and accuracy.
Test all internal and external links.
Check that the contributing section is clear and actionable.