This is a Model Context Protocol (MCP) server for analyzing Azure usage data from CSV files. It provides insights, summaries, and visualizations of Azure cost and usage patterns.

• Analyze Azure usage data from CSV files
• Generate cost summaries and visualizations
• Identify top services and regions by cost
• Respond to natural language queries about Azure usage
• Fully compatible with the Model Context Protocol (MCP)

1. Install the required dependencies:

   pip install -r requirements.txt
   

2. Place your Azure usage CSV file in the data directory (the default file is BCAzureUsage 1.csv).

3. Run the server:

   python claude_mcp.py
   

You can configure this MCP server in your AI assistant configuration using the following format:

{
  "mcpServers": {
    "azure-usage-analyzer": {
      "command": "python",
      "args": ["claude_mcp.py"],
      "cwd": "path/to/mcp-server",
      "env": {}
    }
  }
}

This server implements the Model Context Protocol (MCP) version 2024-11-05. It supports the following MCP methods:

• initialize: Establishes a connection with the MCP client
• search: Processes natural language queries about Azure usage data

Returns basic server information and available endpoints.

Processes Azure usage data and provides insights based on a specific query.

Request format:

{
  "query": "Show me Azure usage by region",
  "params": {
    "dataset": "BCAzureUsage 1.csv"
  }
}

General-purpose search endpoint for querying Azure usage data.

Request format:

{
  "query": "What are my top costs by region?"
}

• "Show me Azure usage by region"
• "What are my top costs?"
• "Analyze service type usage"
• "Which services cost the most?"