jacobwilliamsonrea
MCP Serverjacobwilliamsonreapublic

probable eureka

快速原型设计,集成 Azure AI Foundry 和 Labs 的先进 AI 模型。

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About This Server

快速原型设计,集成 Azure AI Foundry 和 Labs 的先进 AI 模型。

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

🧪 Foundry Models Playground

Welcome to Foundry Models Playground, your streamlined dev environment for rapidly prototyping with state-of-the-art AI models from Azure AI Foundry Catalog and Azure AI Foundry Labs — all without the hassels of getting set up with these resources.

By using this template, you'll be up and running with GitHub Copilot and connected to powerful backend tools in just one click.


🚀 One-Click Setup

Start building instantly:

Use this template


🧠 What’s Inside?

Foundry Models Playground gives you everything you need to prototype AI-based solutions inside GitHub Copilot.

When you open this workspace, it will automatically start two backend servers:

  • 🔹 Foundry Catalog MCP Server – exposes tools to browse and integrate models from Foundry Catalog
  • 🔹 Foundry Labs MCP Server – lets you explore cutting-edge research projects and models by Microsoft Research from Azure AI Foundry Labs

These servers are 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 the following tools — no extra config needed:

🔸 From Foundry Catalog

  • get_foundry_models_list

    Lists available models in the Foundry Catalog.

  • get_implementation_details_for_foundry_model

    Provides detailed integration guidance for a specific model.

🔹 From Foundry Labs

  • get_azure_ai_foundry_labs_projects_list

    Lists available projects from Foundry Labs.

  • get_implementation_details_for_labs_project

    Gives implementation steps for a specific Labs project.

These tools are automatically discovered by Copilot and can be used in natural language prompts while coding.


💡 Getting Started

  1. Use this template to create your own repository. If you already did that, you can skip to the next step.
  2. Open in Codespaces or VS Code (with devcontainer support).
  3. Once the environment boots, open Settings (Ctrl+,) and search for "chat.agent.enable" and enable Agent Mode.
  4. Open Chat view (Ctrl+Alt+I) and click Use Copilot. Change to Agent Mode and Copilot automatically discovers the MCP Servers.
  5. To load MCP Servers, click icon "New tools available".
  6. (Optional) you can click "Tools" icon on Chat view to see loaded MCP servers and tools. Also open .vscode/mcp.json to see preconfigured servers.
  7. Start by asking Copilot about models or guidance.

Quick Start

1

Clone the repository

git clone https://github.com/jacobwilliamsonrea/probable-eureka
2

Install dependencies

cd probable-eureka
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownerjacobwilliamsonrea
Repoprobable-eureka
LanguageDockerfile
License-
Last fetched8/10/2025

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