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nataliemona

Mode Analytics MCP Server

by nataliemona
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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

    A3.5/5.0

    Scored across 13 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action: reports (create/get/update/archive/unarchive/list/search), queries (add/update), and read-only listings (spaces, data sources, runs, run results). The archive/unarchive pair and list_reports vs search_reports are clearly distinguished by scope and description, leaving no real overlap.

    Naming Consistency5/5

    All 13 tools follow a strict snake_case verb_noun convention (create_report, update_query, list_spaces, get_run_results, etc.), including consistent use of the archive/unarchive antonym pair. No mixing of styles or verb conventions.

    Tool Count5/5

    At 13 tools, the set is well-scoped for a report/query management domain, with each tool earning its place and no redundant operations. It stays comfortably within the ideal 3-15 range.

    Completeness4/5

    Report lifecycle is well covered (create, get, update, list, search, archive, unarchive), plus query add/update and run inspection. Minor gaps remain: there is no delete_query to remove a query from a report, and no tool to trigger a report run even though run-result and run-list tools exist.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources