Azure Container Apps - AI & MCP Playground

@manekinekko

Basic information

About Azure Container Apps - AI & MCP Playground

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.

#azure #mcp #openai #agents #llm

Azure Container Apps - AI & MCP Playground config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "azure-openai-mcp-example": {
      "command": "docker",
      "args": [
        "compose",
        "up",
        "-d",
        "--build"
      ]
    }
  }
}

Azure Container Apps - AI & MCP Playground tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Azure Container Apps - AI & MCP Playground?

This demo application showcases the MCP protocol with OpenAI, Azure OpenAI, and GitHub Models. It provides a terminal application that interacts with a TODO list agent using tools from an MCP server, intended for developers exploring AI agent integration.

How to use Azure Container Apps - AI & MCP Playground?

Clone the repository and run docker-compose up to start containers. Alternatively, install dependencies with npm install per prefix and run npm start --prefix mcp-server-http, mcp-server-sse, and mcp-host in separate terminals. Configure the LLM provider via a .env file with keys like OPENAI_API_KEY, AZURE_OPENAI_ENDPOINT, or GITHUB_TOKEN.

Key features of Azure Container Apps - AI & MCP Playground

Supports SSE and HTTP streaming MCP servers
Integrates with OpenAI, Azure OpenAI, GitHub Models
Uses DocumentDB Local for state persistence
Provides tools for TODO list management
Docker Compose for easy setup
Configurable debug logging via DEBUG env variable

Use cases of Azure Container Apps - AI & MCP Playground

Build a terminal-based AI assistant with tool access
Experiment with MCP protocol using different LLM providers
Develop and test MCP server implementations
Explore integration of AI agents with persistent database storage

Frequently asked questions

How does this server differ from other MCP servers?

This playground focuses on demonstrating MCP with multiple LLM providers and includes both HTTP and SSE transport, a local database, and a host application.

What are the runtime dependencies?

Node.js 22+, Docker, and an OpenAI compatible endpoint (OpenAI API key, GitHub token, or Azure OpenAI endpoint).

Where is agent state stored?

State is stored in DocumentDB Local, a lightweight database running in Docker.

Does it support authentication?

Authentication is a work in progress; currently no token-based auth for the MCP servers.

How can I debug the MCP host?

Set the `DEBUG` environment variable to `mcp:*` before starting the host.

Comments

More Cloud & Infrastructure MCP servers

Supabase MCP Server

supabase-community

Connect Supabase to your AI assistants

2.8K

Aws Kb Retrieval Server

modelcontextprotocol

Model Context Protocol Servers

88.2K

container-use

dagger

Development environments for coding agents. Enable multiple agents to work safely and independently with your preferred stack.

3.9K

InfraNest

InfraNest watches your websites, servers, domains and SSL certificates. Connect it to Claude, ChatGPT or Cursor and ask what is down or about to expire.

🐳 docker-mcp

QuantGeekDev

A docker MCP Server (modelcontextprotocol)

490