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Academic Proposal MCP Server

by Ranoes
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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

    B3.2/5.0

    Scored across 13 tools

    Disambiguation3/5

    Tools have distinct purposes generally, but some overlap exists between generate_academic_proposal and generate_proposal_from_topic, as both create full proposal DOCX files, differing mainly in input method. Similarly, increment_proposal_version and increment_praproposal_version are distinct by format, so that's fine.

    Naming Consistency3/5

    Most tools follow a verb_noun pattern like 'export_proposal_as_markdown', 'generate_academic_proposal', but there is inconsistency: 'validate_canvas_compliance' uses a noun-verb-noun order, and 'generate_rubric_checklist_report' is long and less consistent than others. Also, two tools use different phrasing for similar actions ('increment_proposal_version' vs 'generate_academic_proposal').

    Tool Count4/5

    With 13 tools, the server is slightly on the heavier side but still within a reasonable range for a comprehensive academic proposal server covering proposal, praproposal, versioning, validation, and literature parsing. Each tool contributes to the workflow, though a few could be merged without loss.

    Completeness4/5

    The server covers the main lifecycle: planning (plan_proposal_research), generation (generate_academic_proposal, generate_proposal_from_topic), validation (validate_canvas_compliance), inspection (inspect_proposal_document), versioning (increment_proposal_version), and export (export_proposal_as_markdown). Minor gaps include no explicit tool for updating proposal content after generation or deleting versions, but agents can work around via versioning.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources