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Chanoir999

StudyPilot MCP Server

by Chanoir999
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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

    A3.7/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: searching materials, fetching a document by ID, and creating/list/updating task status. No overlapping responsibilities or ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (search_materials, get_document, create_study_task, list_study_tasks, update_study_task_status). The slight plural/singular variation is semantically appropriate and does not break the pattern.

    Tool Count5/5

    With 5 tools, the server is well-scoped: two for material retrieval and three for task management. Each tool earns its place without redundancy or bloat.

    Completeness4/5

    The core workflows are covered: searching and reading materials, plus creating, listing, and updating task status. Minor gaps exist, such as lack of delete or full task edit (e.g., changing deadline), but these can be worked around.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources