UNHCR Population Data MCP Server
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Alternatives to UNHCR Population Data MCP Server
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Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to query keyless UNHCR statistics on forcibly displaced and stateless persons, including refugees, asylum seekers, IDPs, and returnees, plus asylum applications and decisions, filtered by year, country of origin, or country of asylum, with a country-code lookup for resolving UNHCR codes. It can be reached through the hosted Pipeworx gateway or run locally over stdio.84 npmMIT
- AlicenseAqualityBmaintenanceEnables querying and analyzing humanitarian data, such as refugee statistics, through semantic tools like country comparisons, trend analysis, and report generation, using the UNHCR API.2154 npm1MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to generate UNHCR-styled data visualizations including bar, line, pie, and scatter charts with refugee and population data, returning charts as base64-encoded images.-
- AlicenseNot gradedqualityBmaintenanceProvides a unified interface to access UNHCR's open data across statistics, RDF, and IATI MCP servers, enabling aggregated queries, cross-domain analytics, and dataset discovery.MIT
- 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
- AlicenseNot gradedqualityBmaintenanceProvides access to UNICEF data on global statistics about child health, enabling AI agents to query child health indicators.416 npmMIT
TDQS
Scored across 5 tools
The tools are mostly distinct, covering demographics, population, RSD applications, RSD decisions, and solutions. However, get_demographics_data and get_population_data could be confused as both handle forcibly displaced populations, though demographics focuses on age/sex breakdowns while population covers types like refugees. Descriptions help clarify, but overlap exists.
All tools follow a consistent verb_noun pattern with 'get_' prefix and descriptive nouns (e.g., get_demographics_data, get_population_data). This predictable naming makes it easy for agents to understand and navigate the toolset without confusion.
With 5 tools, the server is well-scoped for UNHCR population data, covering key aspects like demographics, population figures, RSD processes, and solutions. Each tool serves a clear purpose, avoiding bloat while providing comprehensive coverage for the domain.
The toolset covers core UNHCR data areas well, including demographics, population types, RSD applications/decisions, and solutions. A minor gap is the lack of tools for updating or managing data (e.g., CRUD operations), but this is reasonable for a read-only data query server focused on retrieval from an external API.