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Interview Prep MCP Server

by bemnetbeshah
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Python
Hybrid

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    Deploy Server
    Context All Your Agents Can ShareAgents share what they learn, hand off work, and hold it when you switch models. Start with 5 GB free.fulcradynamics.comAd

    TDQS

    A3.7/5.0

    Scored across 15 tools

    Disambiguation5/5

    Each tool targets a distinct resource or action: study hierarchy reads/creates/deletes, attempt logging, due queue, history, and data privacy. list_subtopics and get_due_subtopics are clearly different because one returns all subtopics while the other returns the spaced-repetition queue.

    Naming Consistency5/5

    Tool names follow a consistent verb_noun pattern with hierarchical nouns: list_*, create_*, delete_*, and get_*. Pluralization is predictable, and no mixed casing or vague verbs are present.

    Tool Count5/5

    15 tools is at the upper bound of the ideal range, but each tool earns its place by covering study hierarchy management, spaced-repetition workflow, history inspection, and user data controls. The scope matches the server's stated purpose without unnecessary redundancy.

    Completeness3/5

    The core hierarchy and spaced-repetition workflow are well covered, but update_study and update_topic are missing while update_subtopic exists. This creates an incomplete CRUD surface for higher-level resources; agents cannot rename or edit a study or topic without deleting and recreating it.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources