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renyumeng1

mcp-scholar

by renyumeng1
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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

    B3.1/5.0

    Scored across 7 tools

    Disambiguation2/5

    There is significant overlap between adaptive_search and scholar_search, both performing Google Scholar searches with similar parameters, which creates ambiguity. Additionally, summarize_papers appears to combine searching and summarization, potentially overlapping with the search tools, though its summarization aspect provides some distinction.

    Naming Consistency4/5

    Most tools follow a clear noun_verb or verb_noun pattern (e.g., adaptive_search, paper_detail, summarize_papers), with consistent snake_case throughout. The only minor deviation is health_check, which fits the pattern but stands out as a utility tool rather than a core scholarly function.

    Tool Count4/5

    With 7 tools, the count is reasonable for a scholarly search server, covering key operations like searching, retrieving details, and summarizing. However, the overlap between some tools suggests the set could be streamlined without losing functionality, making it slightly over-scoped.

    Completeness4/5

    The toolset covers core scholarly functions well, including searching, retrieving paper details, references, and scholar profiles, with summarization as an advanced feature. A minor gap is the lack of tools for managing saved papers or citations, but the existing tools support most common workflows without dead ends.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources