Indian Analytics

About

The Indian Analytics tool functions as a Model Context Protocol (MCP) server, enabling streamlined access to comprehensive Indian consumer analytics data residing in a PostgreSQL database. It intelligently processes data by offering progressive context loading for schema and metadata, automatic weighting of user counts to accurately represent population segments, and simplified socioeconomic class merging (NCCS). With a robust RESTful HTTP API, this server facilitates easy integration, testing, and interaction with the rich dataset, making it ideal for applications requiring deep insights into Indian consumer behavior.

Key Features

• Progressive Context Loading (schema and metadata on demand)
• 0 GitHub stars
• Weighted Analysis for accurate population representation in user counts
• SQL Query Execution with automatic population weighting
• Automatic socioeconomic class (NCCS) merging
• RESTful HTTP API for seamless integration and testing

Use Cases

• Integrating Indian consumer analytics data into AI models or applications (e.g., Claude Desktop)
• Analyzing mobile app usage patterns, user demographics, and socioeconomic trends in India
• Executing SQL queries on consumer analytics data with automatic weighting for population representation