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platform-mcp

by deBilla
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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

    A4/5.0

    Scored across 16 tools

    Disambiguation4/5

    Most tools target clearly distinct GCP resources or actions, but query_logs and get_recent_errors overlap as general vs. error-filtered log queries, and list_cost_recommendations vs. list_recommendations could cause some selection uncertainty despite their aggregate/specific distinction.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern: list_* for enumeration, query_* for log/metric queries, get_* for specific lookups, and search_assets for asset discovery. There are no mixed naming conventions or unpredictable verbs.

    Tool Count4/5

    At 16 tools, the server is slightly above the ideal 3-15 range, but the count is justified by the broad GCP read-only scope covering logs, errors, metrics, alerts, costs, billing, and multiple resource types. No tool feels redundant enough to remove.

    Completeness4/5

    The toolset covers core platform observability, cost, billing, and resource discovery well, with no obvious dead ends for typical read-only queries. Minor gaps exist such as lacking detailed single-resource fetches and specific listings for services like Cloud Storage or BigQuery, though search_assets partially mitigates these.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources