AzureFoundry-MCP

This project provides a dynamic chat interface using Chainlit to interact with an Azure AI Agent Service agent configured with MCP (Model Context Protocol).

Getting Started

Prerequisites

• Python 3.8+
• pip (Python package installer)

Installation

1. Clone the repository
2. Install dependencies:

   pip install -r requirements.txt

Environment Variables

Before running the project, change env variable file name

.env.example -> .env

Set the following environment variable:

• MCP_GITHUB_TOKEN: Your GitHub MCP server authentication token

You can set this in your shell or add it to a .env file in the project root:

MCP_GITHUB_TOKEN=your_github_token_here

Other required environment variables may include:

• PROJECT_ENDPOINT
• MODEL_DEPLOYMENT_NAME
• MCP_GITHUB_URL
• MCP_GITHUB_LABEL
• MCP_MSLEARN_URL
• MCP_MSLEARN_LABEL

Refer to the code for more details on these variables.

Running the Project

Start the chat interface with:

chainlit run multiMcp.py

You can now interact with the Azure AI Agent via the Chainlit web interface.

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© Microsoft Corporation. Licensed under the MIT License.