Querying India's MoSPI Data with Claude and MCP (aman.bh)

The Ministry of Statistics and Programme Implementation (MoSPI) in India has launched a Model Context Protocol (MCP) server that allows users to query national survey data using natural language through AI language models like Claude and ChatGPT. This innovative approach eliminates the need for complex API calls and detailed knowledge of databases, enabling users to easily obtain aggregate statistics by simply asking questions in plain English. The MCP acts as a bridge between these LLMs and MoSPI's existing API infrastructure, democratizing access to critical data from various national surveys including the Consumer Price Index (CPI), Periodic Labour Force Survey (PLFS), and others. This development is significant for the AI/ML community as it illustrates the practical application of natural language processing to enhance data accessibility and engagement with open-data initiatives. Users can interact with the MCP to extract concrete data without needing a technical background, thus promoting informed decision-making among researchers, policymakers, and the general public. The ability of LLMs to transform ordinary language queries into structured data requests underscores the potential of AI to simplify interactions with complex datasets, paving the way for broader adoption of such technologies in data analysis and public policy.