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qualityEnables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.
Last updated -
2
506
MIT License
Azure Usage MCP Server
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.
Features
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)
Setup
Install the required dependencies:
pip install -r requirements.txtPlace your Azure usage CSV file in the
datadirectory (the default file isBCAzureUsage 1.csv).Run the server:
python claude_mcp.py
Configuration for Claude or other AI assistants
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": {}
}
}
}
MCP Protocol Support
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 clientsearch: Processes natural language queries about Azure usage data
API Endpoints
GET /
Returns basic server information and available endpoints.
POST /context
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"
}
}
POST /search
General-purpose search endpoint for querying Azure usage data.
Request format:
{
"query": "What are my top costs by region?"
}
Example Queries
"Show me Azure usage by region"
"What are my top costs?"
"Analyze service type usage"
"Which services cost the most?"
This server cannot be installed
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