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TikTok Ads Library MCP Server

by proxy-intell
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Python
Hybrid

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    • TikTok Ads Library MCP Server

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      Enables an AI assistant to search TikTok ads by text, country, category, or landing domain, open individual ads to inspect their copy, destination and run dates, and identify the advertiser operations behind them. All calls are pinned to TikTok so results stay within that corpus, with usage and quota checks included.
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    • LinkedIn Ads Library MCP

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    • Facebook Ad Library MCP

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      Enables searching and scraping the public Facebook Ad Library to extract structured ad data such as advertiser, copy, landing URLs, and CTAs for competitive research, all without an account or API token.
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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

    A4.3/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: search finds ads, get details retrieves metadata, analyze tools process video or image content, and cache tools manage storage. No two tools overlap in function.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern: search_tiktok_ads, analyze_ad_video, cleanup_media_cache, etc. The naming style is uniform and predictable.

    Tool Count5/5

    With 7 tools, the set is well-scoped for TikTok ad search, analysis, and cache management. Each tool earns its place without redundancy or bloat.

    Completeness5/5

    The surface covers the full workflow: searching ads, retrieving details, analyzing video and image creatives, and managing cached results. No obvious missing operations are apparent.

    Maintenance

    ActivitySlowing
    ResponsivenessUnresponsive

    Resources