Provides access to Indian consumer analytics data stored in PostgreSQL, offering weighted analysis and socioeconomic class merging via a Model Context Protocol server.
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
01Progressive Context Loading (schema and metadata on demand)
020 GitHub stars
03Weighted Analysis for accurate population representation in user counts
04SQL Query Execution with automatic population weighting
05Automatic socioeconomic class (NCCS) merging
06RESTful HTTP API for seamless integration and testing
Use Cases
01Integrating Indian consumer analytics data into AI models or applications (e.g., Claude Desktop)
02Analyzing mobile app usage patterns, user demographics, and socioeconomic trends in India
03Executing SQL queries on consumer analytics data with automatic weighting for population representation
