Azure Container Apps MCP Server

If you already use Azure Container Apps, the azure container apps mcp server is the piece that lets your assistant work with it directly. This project showcases how to use the MCP protocol with Azure OpenAI. It provides a simple example to interact with OpenAI's API seamlessly via an MCP server and client.

What the server does

This project showcases how to use the MCP protocol with OpenAI, Azure OpenAI and GitHub Models. It provides a simple demo terminal application that interacts with a TODO list Agent. The agent has access to a set of tools provided by the MCP server.

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

• Prerequisites — The Prerequisites tool exposed by this server
• Installation — The Installation tool exposed by this server
• OpenAI — To use the OpenAI API, you need to set your OPENAI_API_KEY key in the .env file:

Installation

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Credentials and setup notes

Configuration is passed through the environment: AZURE_OPENAI_API_KEY, OPENAI_API_KEY, GITHUB_TOKEN. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

• Node.js and npm (version 22 or higher) - Docker (recommended for running the MCP servers, and DocumentDB Local in Docker) - An OpenAI compatible endpoint: - An OpenAI API key - Or, a GitHub token, if you want to use the GitHub models: https://gh.io/models - Or, if you are using Azure OpenAI, you need to have an [Azure OpenAI

Where it fits

Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Azure Container Apps's toolset — Prerequisites, Installation, OpenAI — is a fair guide to whether it matches your workflow. It is maintained by manekinekko; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Worth knowing first

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
• Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.