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Spain Open Data MCP

Spain Open Data MCP

by digvijaysingh-ai
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

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    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

    A4.1/5.0

    Scored across 13 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes, but the business/market cluster (businesses, market_size, compare_areas, catchment) overlaps enough that careful reading is needed to pick the right one. Their scopes differ by geography and output, so descriptions help avoid misselection.

    Naming Consistency3/5

    All names use snake_case, but the set mixes noun resource names (rents, businesses, demographics, income, crime) with verb_noun action names (resolve_place, read_dataset, compare_areas, find_datasets). The pattern is readable but not fully consistent.

    Tool Count5/5

    With 13 tools, the server is well within the ideal 3–15 range. Each tool appears to serve a distinct analytical or helper purpose, so none feel redundant or excessive.

    Completeness4/5

    The surface covers core location and market analytics (places, demographics, income, businesses, market sizing, crime, rents, pricing) plus dataset discovery and charting. Minor gaps remain, such as full dataset download, housing sale prices, and employment/transport data, but find_datasets and read_dataset provide partial workarounds.

    Maintenance

    ActivityNo data
    ResponsivenessSyncing

    Resources