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Berlin Open Data MCP Server

by tifa365
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Python

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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

    A4/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no ambiguity: analyze datasets, get catalog stats, retrieve a dataset, list categories, list tags, and search datasets. The descriptions reinforce these distinct roles, making misselection unlikely.

    Naming Consistency5/5

    All tools follow a consistent 'berlin_verb_noun' pattern in snake_case, such as berlin_analyze_datasets and berlin_search_datasets. This predictability aids agent understanding and tool selection.

    Tool Count5/5

    With 6 tools, this server is well-scoped for exploring and analyzing Berlin's open data catalog. Each tool serves a specific function without redundancy, fitting the domain appropriately.

    Completeness4/5

    The toolset covers core operations like searching, retrieving, and analyzing datasets, along with catalog overviews. A minor gap is the lack of direct data download or manipulation tools, but descriptions note this limitation, and agents can work around it using provided URLs.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources