MCP Azure Project
This MCP server integrates with Azure AI Foundry's Claude deployment to provide document management functionality. It enables tools for reading, writing, and listing files, allowing Claude to interact with local documents through an Azure-compatible client.
README
MCP Azure Project
This project integrates Model Context Protocol (MCP) with Azure AI Foundry's Claude deployment.
Quick Start
1. Install Dependencies
# Create virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install packages
pip install -r requirements.txt
2. Configure Azure Credentials
Edit .env file with your Azure AI Foundry credentials:
AZURE_OPENAI_ENDPOINT=https://your-resource.openai.azure.com/
AZURE_OPENAI_API_KEY=your-api-key-here
AZURE_DEPLOYMENT_NAME=claude-35-sonnet
AZURE_API_VERSION=2024-10-01-preview
3. Test the MCP Server
# Start server with inspector
mcp dev server/document_server.py
# Opens browser at http://localhost:5173
4. Run the Client
python client/azure_client.py
Project Structure
.
├── .env # Azure credentials (don't commit!)
├── .gitignore
├── requirements.txt
├── server/
│ ├── __init__.py
│ └── document_server.py # MCP server with tools
├── client/
│ ├── __init__.py
│ └── azure_client.py # Azure-compatible client
└── test_documents/
└── sample.txt # Test files
Available Tools
- read_document: Read file contents
- write_document: Create/update files
- list_documents: List all documents
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