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Team Drive MCP

Team Drive MCP

by raymondhuang1994
OverviewSchemaSourceRelated ServersDiscussionsAdmin
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

    A3.8/5.0

    Scored across 9 tools

    Disambiguation4/5

    Each tool targets a distinct stage of the index lifecycle, and the descriptions actively draw boundaries (status = inventory totals/limits, job_status = live job progress; inspect = structure/hash verification, read = content segments). The only mild overlaps are status vs job_status and inspect vs read, both of which are clarified but still plausibly confusable at a glance.

    Naming Consistency5/5

    All nine tools use a uniform team_drive_<action> snake_case pattern with predictable verbs (list, search, inspect, read, export, refresh, cancel). No mixed conventions or abbreviations; an agent can guess new tool names reliably.

    Tool Count5/5

    Nine tools is well within the ideal range and each maps to a necessary distinct operation in the index-and-read workflow. Nothing feels redundant or bolted on.

    Completeness5/5

    The surface covers the full lifecycle: triggering/cancelling/refreshing indexing, monitoring job and overall status, discovering files via list and search, verifying via inspect, reading content pages, and exporting a versioned artifact. Sources are intentionally read-only, so the absence of write tools is correct rather than a gap.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources