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Academic Literature MCP (Multi-site)

Academic Literature MCP (Multi-site)

by wkkdmx
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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

    B3.4/5.0

    Scored across 12 tools

    Disambiguation4/5

    Search vs structured_search is a clear split (natural language vs boolean DSL), and search_results (local snapshot paging) vs get_metadata (external metadata collection) are distinguished by scope and network use. Borderline pairs remain: operation_status vs operation_control both act on tasks, and diagnostics overlaps both by reporting 'current task' plus config/session-adjacent state, which could cause occasional misselection.

    Naming Consistency4/5

    Nearly everything is snake_case with a predictable verb_noun or noun_phrase shape (list_sites, get_metadata, download_paper, export_citations, session_status). Deviations are minor: bare nouns/verbs like search, login, diagnostics, and the noun-first trio search_results / structured_search / search don't sit in an obvious ordering.

    Tool Count5/5

    12 tools is well within a sane range for a multi-site literature workflow: discovery, querying, result reading, metadata, download, citation export, session handling, and task control. Each tool maps to a distinct stage, so nothing feels padded.

    Completeness4/5

    The lifecycle is covered end to end: site discovery, plain and boolean search, paged result review, metadata enrichment, full-text download, citation export, login/session, and long-running task control. Gaps are moderate: no way to register or configure a new site despite list_sites exposing a capability matrix, and no cross-site dedup/merge of duplicate records.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources