Skip to main content
Glama
ahmedvnabil

Humanitarian MCP

by ahmedvnabil
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

Related Servers

Alternatives to Humanitarian MCP

No user-submitted related servers found.

    Related Servers

    • UNHCR Refugee Data Finder MCP

      pipeworx-io
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables 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.
      324 npm
      MIT

    • mcp-hdx

      pipeworx-io
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables searching and retrieving Humanitarian Data Exchange datasets, locations, and publishing organizations via CKAN, supporting discovery of data on displacement, refugees, food security, conflict, disasters, health, and population.
      334 npm
      MIT

    • reliefweb

      pipeworx-io
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables querying ReliefWeb's humanitarian information service for situation reports, needs assessments, appeals, analyses, and curated disaster data, with tools to search, filter, and retrieve full reports.
      245 npm
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    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

    ActivitySlowing
    ResponsivenessNo issues

    Resources