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Fastcat Literature MCP

by achuthc1298
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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

    A3.9/5.0

    Scored across 11 tools

    Disambiguation5/5

    Each tool targets a distinct step in the literature workflow: external candidate search, ranking save, publisher-specific download, indexing, semantic retrieval, passage reading, paper listing, legacy extraction, summary reading, and configuration check. Overlaps such as search_papers vs retrieve_evidence are clearly separated by external vs local scope, and extract_paper is explicitly marked legacy and discouraged.

    Naming Consistency5/5

    All tool names use snake_case with a clear verb_noun or verb_noun_phrase pattern (index_papers, retrieve_evidence, download_elsevier_paper, check_configuration). The convention is consistent across the entire set with no mixed casing or stylistic breaks.

    Tool Count5/5

    The 11 tools are well-scoped for a literature RAG server, covering search, download, indexing, retrieval, ranking, and optional legacy summarization without excessive surface area. Each tool has a clear role in the workflow, and the optional legacy tool does not bloat the set.

    Completeness4/5

    The core scholarly RAG lifecycle is well covered: external search, ranking, publisher-specific full-text download, indexing, evidence retrieval, passage reading, and optional summarization. Minor gaps exist around generic publisher support, index deletion/cleanup, and metadata export, but agents can work around them for the stated workflow.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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