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Cloud & Infraโ˜… 954

Ai Gateway

Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Microsoft Foundry ๐Ÿš€

by Azure-Samples ยท Azure-Samples/AI-Gateway

How to use Ai Gateway with Claude

Ai Gateway is a Model Context Protocol (MCP) server that gives Claude and other AI agents direct access to cloud & infra capabilities. Once installed, you can use it in Claude Desktop, Cursor, VS Code with GitHub Copilot, or any MCP-compatible client.

Setup

  1. Clone or install from the GitHub repository
  2. Follow the README for environment setup and credentials
  3. Add the server to your MCP client config (claude_desktop_config.json or .cursor/mcp.json)
  4. Restart your client โ€” Ai Gateway will appear in the available tools list

About Ai Gateway

Jupyter Notebookโ˜… 954 starsUpdated Jul 2026Source: github

Ai Gateway is an open-source MCP server in the Cloud & Infra category, built in Jupyter Notebook. It connects Claude and other MCP-compatible clients to cloud & infra systems directly. Source available on GitHub.

Use cases for Cloud & Infra MCP servers

  • โ†’Query cloud resource state and metrics in real time
  • โ†’Automate infrastructure changes with AI-assisted validation
  • โ†’Debug deployment failures by pulling logs and config diffs
  • โ†’Monitor costs and trigger alerts on anomalies

Where Ai Gateway fits in an MCP workflow

Teams use Ai Gateway to give Claude a direct bridge into cloud & infra workflows, so routine actions happen inside the AI client instead of across separate tabs and dashboards.

Ai Gateway can be connected to MCP clients by following the repository setup instructions, making it useful for teams that want AI access to cloud & infra systems.

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