Global Economic Statistical MCP
Related Servers
Alternatives to Global Economic Statistical MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to access official statistical and economic indicator datasets from Eurostat, World Bank, OECD, IMF, WHO, and national statistical offices across 150+ countries through natural-language dataset discovery, inspection, time-series retrieval, SQL queries, CSV export, and account/watchlist management.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to query cross-country macroeconomic and financial statistics, including GDP, inflation, fiscal balance, debt, exchange rates, trade, and balance-of-payments data for comparison and time-series analysis.423 npmMIT
- AlicenseAqualityBmaintenanceEnables AI assistants to discover, retrieve, and compare official international development indicators from sources such as the World Bank, FAOSTAT, WHO, UNICEF, and IMF, while preserving source identifiers, units, and citations.102MIT
- AlicenseAqualityCmaintenanceEnables searching, retrieving, summarizing, and comparing official central-bank time series, with resource and prompt access for generating reports and evaluating answers against memory-only responses.4MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to browse the complete economic data catalog, search for series by keywords or tags, and retrieve observations with date ranges, frequency aggregation, and transformations. It provides access to more than 800,000 time series through three tools.331 npmAGPL 3.0
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to resolve places and statistical variables, then retrieve harmonised public statistics such as population, income, health, employment, and emissions with publisher provenance and child-place comparisons.464 npmMIT
TDQS
Scored across 6 tools
Each tool has a distinct purpose: search discovery, structural metadata, data retrieval, multi-series comparison, summary statistics, and indicator explanation. There is no overlap or ambiguity in their roles.
All tool names follow a consistent verb_noun pattern (search_statistics, get_metadata, get_data, compare_series, calculate_statistics, explain_indicator), making the API predictable and easy to navigate.
Six tools form a well-scoped set for a statistical data server, covering the essential operations without redundancy or bloat. Each tool is justified by the domain's needs.
The tools cover the full workflow: search to discover, metadata to understand structure, retrieval, comparison, analysis, and explanation. No significant gaps appear for the stated purpose of global economic statistics.