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Parkour MCP

by blightbow
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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

    A4.3/5.0

    Scored across 13 tools

    Disambiguation4/5

    Each tool targets a distinct source or mode—web search, page structure, page extraction, arXiv, GitHub, Hugging Face, IETF, packages, Discourse, MediaWiki, YouTube, and comments—so misselection is unlikely. The main ambiguity is that web_fetch_incisive also auto-handles many of the same URLs as the dedicated tools, and kagi_search could overlap with domain-specific search, but the descriptions clearly steer structured lookups to the dedicated tools.

    Naming Consistency3/5

    Naming conventions are mixed: domain connectors use bare platform names like arxiv, github, ietf, and youtube, while utility tools use web_fetch_* and research_shelf, and kagi_search combines a brand with an action. The names are readable and recognizable, but there is no consistent verb_noun or action-first pattern across the set.

    Tool Count5/5

    Thirteen tools is well within the ideal range for a multi-source research and retrieval server. Each tool covers a distinct content type or workflow step, and none feels redundant or vestigial.

    Completeness4/5

    The server covers a broad research lifecycle: search, structural page inspection, targeted extraction, domain-specific retrieval for papers/code/models/RFCs/packages/forums/video, plus a research shelf for tracking and exporting sources. Minor gaps keep it from a 5: research_shelf references semantic_scholar even though no such tool exists, and the YouTube tool mentions a music sibling that is not present.

    Maintenance

    ActivityMaintained
    ResponsivenessResponsive

    Resources