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google-ads-mcp

google-ads-mcp

by scalably-io
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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

    A4.1/5.0

    Scored across 11 tools

    Disambiguation4/5

    Most tools are clearly separated by domain: account discovery, GAQL querying, schema introspection, keyword planning, recommendations, and change tracking. The two closest pairs (list_accessible_customers vs. list_customer_clients, and change_events vs. change_status) are explicitly differentiated in their descriptions, but their names alone could still cause an agent to hesitate.

    Naming Consistency3/5

    All tools share the google_ads_ prefix and snake_case, but the verb pattern is inconsistent: list_accessible_customers, list_resources, list_customer_clients, query, and describe_resource use verbs, while recommendations, keyword_ideas, keyword_historical_metrics, keyword_forecast_metrics, change_events, and change_status are noun phrases. The convention is readable but mixed.

    Tool Count5/5

    With 11 tools, the server is well-scoped for a Google Ads data-access MCP. Each tool covers a meaningful capability—account hierarchy, GAQL querying, schema discovery, recommendations, keyword research, and change tracking—without unnecessary redundancy or bloat.

    Completeness4/5

    The tool surface is strong for read-only Google Ads workflows: account discovery, arbitrary GAQL querying, schema introspection, keyword research, forecasting, recommendations, and change auditing are all covered. The main gaps are the lack of any write/mutation operations and the absence of convenience wrappers for common entities like campaigns, but the generic query tool plus schema metadata lets agents work around those limitations.

    Maintenance

    ActivityNo data
    ResponsivenessOutdated data

    Resources