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muze-mcp

by Agent-Prod
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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 17 tools

    Disambiguation4/5

    Most tools have distinct purposes, but there is some overlap between the three 'analyze_' tools (account, campaign, single ad) which could cause confusion about when to use each. The 'get_account_analysis' tool is clearly differentiated as a read-only alternative to 'analyze_account_ads'. Other tools like 'pause_ad' and 'resume_ad' are clearly distinct actions.

    Naming Consistency5/5

    All tools follow a consistent verb_noun naming pattern with snake_case throughout. The pattern is clear: action verbs like 'analyze', 'generate', 'get', 'list', 'pause', 'resume', 'scrape' followed by specific nouns describing the target resource. There are no deviations in naming conventions.

    Tool Count4/5

    With 17 tools, the count is slightly high but reasonable for the advertising analytics domain. The server covers multiple areas (analysis, generation, performance tracking, competitor research, account management), and most tools appear to serve specific purposes. A few tools could potentially be consolidated, but overall the scope justifies the tool count.

    Completeness4/5

    The tool surface covers the advertising analytics domain well with analysis tools, performance tracking, competitor research, ad management, and creative generation. Minor gaps exist: there's no tool to update ads or campaigns, and no direct way to create new campaigns or products. However, the existing tools support core workflows effectively, and agents can work with the provided capabilities.

    Maintenance

    ActivityInactive
    ResponsivenessSyncing

    Resources