Model Context Protocol

Model Context Protocol

Model Context Protocol Latest News

Recently, the National Statistics Office under the Ministry of Statistics and Programme Implementation (MoSPI) launched the beta version of its Model Context Protocol (MCP) server for eSankhyiki portal.

About Model Context Protocol

  • It is a technology that allows users to connect directly with datasets through their own AI tools and applications.
  • It is a standard way to make information available to large language models (LLMs).
  • Using MCP, AI applications can connect to data sources (e.g. local files, databases), tools (e.g. search engines, calculators) and workflows (e.g. specialized prompts)—enabling them to access key information and perform tasks.

Key Facts about eSankhyiki portal

  • It provides real-time inputs for planners, policy-makers, researchers and the public at large.
  • The objective of this portal is to establish a comprehensive data management and sharing system for ease of dissemination of official statistics in the country.
  • It has two modules namely:
    • Data Catalogue Module: This module catalogues the major data assets of the Ministry at one place for ease of access.
      • It allows users to search within datasets, including within tables, and download data of interest to increase its value and re-usability.
      • The module has seven data products, namely National Accounts Statistics, Consumer Price Index, Index of Industrial Production, Annual Survey of Industries, Periodic Labour Force Survey, Household Consumption Expenditure Survey and Multiple Indicator Survey.
    • Macro Indicators Module: This module offers time series data of key macro indicators with features for filtering and visualizing data enabling ease of access for the users.
      • It allows users to download custom datasets, visualizations and share them through APIs, thereby increasing the re-usability of data.

Source: PIB

Model Context Protocol FAQs

Q1: What is Model Context Protocol (MCP)?

Ans: An open standard for AI model interoperability

Q2: What is the goal of MCP?

Ans: To enable seamless switching between AI models

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