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research-mcp

by 404Simon
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Python
Remote

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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

    A4.4/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a clearly distinct research workflow step: keyword search, metadata lookup by ID, citation graph traversal, venue-based survey, BibTeX generation, and full-text extraction. Even where search_papers supports a venue filter, venue_proceedings is clearly positioned as venue-first exploration, so an agent can reliably pick the right tool.

    Naming Consistency3/5

    All names are readable and consistently snake_case, but they mix conventions: search_papers, get_citation_graph, get_bibtex, and read_paper_full_text are verb-led, while paper_details and venue_proceedings are bare noun phrases. This is a mixed pattern rather than a truly consistent verb_noun schema.

    Tool Count5/5

    Six tools is well within the ideal range for a research assistant server. Each tool covers a distinct capability and none feels redundant or unnecessary for the stated domain of academic paper discovery and reading.

    Completeness5/5

    The tool surface covers the core academic research lifecycle: finding papers by keyword or venue, retrieving detailed metadata, exploring citations both forward and backward, reading full text, and generating BibTeX entries. There are no obvious dead ends or missing operations that would prevent an agent from completing a typical literature research workflow.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources