World Bank Data

Connects to World Bank open data API for exploring and analyzing global socioeconomic indicators and development trends.

This World Bank MCP server, developed by Anshuman Saxena, enables AI assistants to interact with the World Bank's open data API. Built in Python using the MCP framework, it provides tools for listing countries and indicators, as well as analyzing various socioeconomic metrics. The implementation stands out by offering a controlled interface for data exploration and analysis, making it safer and more structured for AI systems to access World Bank data. By connecting AI capabilities with a comprehensive global development database, this server allows for in-depth analysis of international economic trends, poverty statistics, and other key indicators. It is particularly useful for researchers, policymakers, and AI assistants working on global development projects, economic analysis, or cross-country comparisons.