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Malja MCP

Malja MCP

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    • A
      license
      A
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      B
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      10
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    • A
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      C
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      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.
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    • A
      license
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      quality
      C
      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.
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables 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.
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    • F
      license
      Not graded
      quality
      D
      maintenance
      Exposes World Bank development data and country information via MCP resources and tools, enabling AI agents to query historical indicators and live API data.
      -

    TDQS

    A3.8/5.0

    Scored across 24 tools

    Disambiguation4/5

    Most tools target a clearly distinct action (trend_analysis vs forecast vs monitor_changes vs durable_solutions are well separated), and descriptions explicitly state defaults and roles to steer selection. Minor overlap remains: latest_statistics duplicates what country_profile and refugee_population already return, and compare_countries vs top_host_countries both rank the same metrics, so an agent may hesitate between them.

    Naming Consistency4/5

    All names are snake_case with no style mixing, and there is a readable convention: verb_noun for actions (search_country, generate_chart, export_data, monitor_changes) and plain dataset nouns for data retrieval (refugee_population, asylum_decisions, food_security). The split is sensible but not stated, so a couple of names like country_profile and situation_reports sit ambiguously between the two patterns.

    Tool Count3/5

    24 tools is at the heavy end for a single server, even a broad humanitarian-data one. Each tool does earn a place (query, context, analysis, output, meta are all represented), but consolidation is possible — several dataset tools could collapse into one parameterised retrieval, and latest_statistics largely duplicates existing coverage.

    Completeness5/5

    The surface covers the full workflow: name resolution, country snapshots, per-dataset time series, demographic and asylum breakdowns, contextual indicators (conflict, food security, funding, situation reports), analysis (trends, changepoints, forecasts, change monitoring), and multiple output formats (chart, map, report, HTML/PDF, raw CSV/JSON/GeoJSON), plus metadata and provider health. No obvious dead ends for a read-only data server.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues