world-bank-data-mcp
MCP ServerFreeSearch 1,000+ World Bank economic and social indicators for 200+ countries. Filter by year, country, and demographics to access 60+ years of historical data. Compare results to surface the latest figures and trends.
- Best for
- multi-dimensional data search, historical data comparison, demographic filtering
- Type
- MCP Server · Free
- Score
- 29/100
- Best alternative
- AWS MCP Servers
- Agent-compatible
- Yes — MCP protocol
Capabilities3 decomposed
multi-dimensional data search
Medium confidenceThis capability allows users to search through over 1,000 World Bank economic and social indicators by leveraging a structured query mechanism that filters data based on year, country, and demographic parameters. It employs a flexible query parser that translates user input into optimized database queries, ensuring efficient retrieval of relevant datasets. The architecture is designed to handle complex filtering while maintaining performance, making it distinct from simpler search implementations.
Utilizes a structured query parser that optimizes database interactions for multi-dimensional filtering, unlike traditional keyword-based searches.
More efficient than generic data search tools due to its tailored query optimization for World Bank datasets.
historical data comparison
Medium confidenceThis capability enables users to compare historical data across various indicators and countries by aggregating and visualizing datasets over a specified time range. It employs a time-series analysis approach, allowing users to easily identify trends and changes in indicators over time. The system is built to handle large datasets efficiently, providing quick access to comparative insights.
Incorporates time-series analysis for historical comparisons, which is not commonly found in standard data retrieval tools.
Offers deeper insights into trends compared to basic data retrieval systems by focusing on temporal analysis.
demographic filtering
Medium confidenceThis capability allows users to filter World Bank data based on specific demographic criteria, such as age, gender, or income level. It utilizes a demographic tagging system that categorizes indicators, enabling precise filtering and retrieval of relevant datasets. The architecture supports complex demographic queries, making it easier for users to access tailored data for specific populations.
Features a demographic tagging system that allows for nuanced filtering, unlike general-purpose data search tools.
More precise than standard data retrieval systems that lack demographic specificity.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓data analysts exploring global economic trends
- ✓researchers needing historical data comparisons
- ✓economists analyzing long-term trends
- ✓policy makers needing historical context
- ✓social scientists conducting demographic studies
- ✓NGOs targeting specific populations
Known Limitations
- ⚠Limited to World Bank datasets; no support for external data sources
- ⚠Search performance may degrade with overly complex queries
- ⚠Limited visualization options; primarily focused on data retrieval and comparison
- ⚠Requires familiarity with data interpretation for effective use
- ⚠Demographic categories are predefined; users cannot add custom filters
- ⚠Limited to available demographic data from World Bank
Requirements
Input / Output
UnfragileRank
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Repository Details
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Search 1,000+ World Bank economic and social indicators for 200+ countries. Filter by year, country, and demographics to access 60+ years of historical data. Compare results to surface the latest figures and trends.
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