🧪 Foundry MCP Playground
By using this template, you'll be up and running with GitHub Copilot and connected to powerful backend tools in just one click.
- MCP Server for Azure AI Foundry: server repo
- Foundry MCP Playground: template repo (this)
🚀 One-Click Setup
Start building instantly:
Click this if you like to create your new repository from this template
](https://github.com/codespaces/new?template_repository=azure-ai-foundry/foundry-mcp-playground/generate)
Click this if you like to start clean using current repository in GitHub Codespaces
🧠 What’s Inside?
Foundry MCP Playground gives you everything you need to prototype AI-based solutions inside GitHub Copilot.
When you open this workspace, it will automatically start the MCP server for Azure AI Foundry:
- MCP Server for Azure AI Foundry (experimental) – exposes tools to interact with Azure AI Foundry
This server is automatically started inside a devcontainer and communicate via stdio with GitHub Copilot.
🧰 Available Tools in GitHub Copilot
When GitHub Copilot is running in this environment, it will be equipped with all the tools — no extra config needed. See MCP Server for Azure AI Foundry (experimental) for more details.:
These tools are automatically discovered by Copilot and can be used in natural language prompts while coding.
💡 Getting Started
- Use this template to create your own repository. If you already did that, you can skip to the next step.
- Open in Codespaces or VS Code (with devcontainer support).
1. If you use VS Code with devcontainer, you'll need Docker engine running locally.
- Once the environment is ready, open Settings (Ctrl+,) and search for "chat.agent.enable" and enable Agent Mode.
- Open Chat view (Ctrl+Alt+I) and click Use Copilot. Change to Agent Mode and Copilot automatically discovers the MCP Servers.
- To load MCP Servers, click icon "New tools available", if not loaded already.
- (Optional) you can click "Tools" icon on Chat view to see loaded MCP servers and tools. Also open
.vscode/mcp.jsonto see preconfigured servers. - Start by asking Copilot about what it can help on Azure AI Foundry.
Example Prompts
Explore models
- What can you do?
- How can you help me find the right model?
- What models can I use from Azure AI Foundry?
- What OpenAI models are available in Azure AI Foundry?
- What are the most popular models in Azure AI Foundry? Pick me 10 models.
- What models are good for reasoning? Show me some examples in two buckets, one for large models and one for small models.
- Can you compare Phi models and explain differences?
- Show me the model card for Phi-4-reasoning.
- Can you show me how to test a model?
- What does free playground in Azure AI Foundry mean?
- Can I use GitHub token to test models?
- Show me latest models that support GitHub token.
- Who are the model publishers for the models in Azure AI Foundry?
- Show me models from Meta.
- Show me models with MIT license.
Build prototypes
- Can you describe how you can help me build a prototype using the model?
- Describe how you can build a prototype that uses an OpenAI model with my GitHub token. Don't try to create one yet.
- Recommend me a few scenarios to build prototypes with models.
- Tell me about Azure AI Foundry Labs.
- Tell me more about Magentic One
- What is Omniparser and what are potential use cases?
- Can you help me build a prototype using Omniparser?
- I need to build an application that can analyze my web UX designs and advise me of any areas that may be difficult for users to navigate or might create a cognitive overload.
- I'd like to build a model comparison app to compare Azure AI Foundry Catalog models. The user should be able to select from about 8-10 different catalog models. From there, the user enters a prompt, which each of the selected models will respond to. The output should be side by side. The user can also select a specific model from a set of "evaluator" models that are good at evaluation, that will evaluate the outputs of user-selected models. The evaluator should provide a short written evaluations to each models' response, as well as a numerical score.
Deploy OpenAI models
- Can you help me deploy OpenAI models?
- What steps do I need to take to deploy OpenAI models on Azure AI Foundry?
- Can you help me understand how I can use OpenAI models on Azure AI Foundry using GitHub token? Can I use it for production?
- I already have an Azure AI services resource. Can I deploy OpenAI models on it?
- What does quota for OpenAI models mean on Azure AI Foundry?
- Get me current quota for my AI services resource.