A
licenseA
qualityD
maintenanceProvides access to UNHCR refugee statistics through a standardized interface, allowing AI agents to query data by country of origin, country of asylum, and year.
5
MIT
Humanitarian MCP
by ahmedvnabil
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TDQS
A3.9/5.0
Scored across 21 tools
Disambiguation4/5
Most tools target distinct resources and actions, with clear separation between snapshot, time-series, comparison, analysis, visualization, and export functions. A few tools overlap slightly—country_profile, latest_statistics, and refugee_population all surface displacement counts—but their descriptions clarify the differing levels of detail and scope.
Naming Consistency4/5
Names use a mostly consistent snake_case convention, and there is a recognizable split: data-access tools are noun phrases (refugee_population, conflict_events) while actionable tools use verbs (generate_chart, export_data, search_country). Minor deviations like provider_health and latest_statistics break the pattern slightly but do not cause confusion.
Tool Count3/5
At 21 tools, the server is on the heavier side and sits in the 16–25 range that feels bulky. The count is partially justified by the broad multi-dataset humanitarian scope, but the set could likely be consolidated to reduce discovery burden.
Completeness4/5
The tool surface covers the core humanitarian data workflow well: country resolution, displacement metrics, demographics, asylum, conflict, food security, funding, reports, trend analysis, forecasting, visualization, export, metadata, and health checks. Minor gaps exist, such as no explicit tool for enumerating which countries have available data, but most analysis paths can be completed without dead ends.
Maintenance
ActivityMaintained
ResponsivenessNo issues