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Mcp-Brasil

mcp-brasil

by Mcp-Brasil
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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

    A3.8/5.0

    Scored across 7 tools

    Disambiguation3/5

    There is noticeable overlap between recomendar_tools, planejar_consulta, and search_tools, as all accept natural language queries and return tool recommendations, albeit in different formats. listar_features and listar_datasets_disponiveis are distinct but share a similar prefix. The remaining tools are clearly separated.

    Naming Consistency2/5

    Tool names mix Portuguese (listar, recomendar, planejar, executar) and English (search, call), creating an inconsistent impression. Although most follow a verb_noun pattern, the language switch is jarring and not predictable.

    Tool Count5/5

    Seven tools is well-scoped for a meta-orchestration server. Each tool serves a distinct role in the discovery, planning, and execution workflow without unnecessary redundancy or excessive count.

    Completeness4/5

    The tool set covers the main workflow: listing features, discovering tools, planning queries, and executing them individually or in batch. Minor gaps exist, such as no direct tool to manage datasets or inspect feature details, but the core surface is functional.

    Maintenance

    ActivityMaintained
    ResponsivenessResponsive

    Resources