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PsyFlow-MCP

by TaskBeacon
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Python
Hybrid

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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

    C2/5.0

    Scored across 5 tools

    Disambiguation4/5

    The tools are mostly distinct in purpose, with clear separation between task-related operations (build, download, list) and voice/list functions. However, 'localize' is somewhat ambiguous—it could relate to tasks or voices, creating minor potential for confusion.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with snake_case, such as 'build_task', 'list_tasks', and 'list_voices'. This uniformity makes the set predictable and easy to parse.

    Tool Count5/5

    With 5 tools, this server is well-scoped for a specialized domain like task and voice management. The count is neither too sparse nor bloated, allowing focused functionality without overwhelming complexity.

    Completeness3/5

    The server covers basic operations for tasks (build, download, list) and voices (list), but lacks update or delete tools, which are common in lifecycle management. This creates notable gaps that agents might need to work around.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources