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wvuhskr

mcp-microsoft-ads

by wvuhskr

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Alternatives to mcp-microsoft-ads

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    • A
      license
      Not graded
      quality
      B
      maintenance
      Connects AI assistants to Microsoft Advertising (Bing Ads) accounts so they can query performance, pull search advertising reports, and create or optimize campaigns, ad groups, keywords, audiences, and conversion tracking through natural language. Write actions are available but new campaigns start paused and deletes stay off by default.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables managing and analyzing ad accounts in plain language from AI assistants, including cross-account performance reports, keyword research, GAQL queries, and safe previewed changes.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to manage, report, and analyze Google Ads campaigns securely with encrypted multi-client support, real-time API integrations, and audit trail logging.
      54 npm
      MIT
    • A
      license
      A
      quality
      F
      maintenance
      Enables managing Google Ads campaigns through an AI assistant with read-only reporting, recommendations, and gated write operations for bids, budgets, and statuses, all backed by preview and audit logging.
      31
      1
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Lets AI agents query Google Ads freely while routing every write through a passkey-approved, rule-checked, audited change workflow. It issues per-agent keys, validates proposals against configurable guardrails, and applies approved changes atomically.
      Apache 2.0
    • A
      license
      B
      quality
      C
      maintenance
      Enables AI assistants to read a ChatGPT Ads account — account summaries, performance insights, campaigns, ad groups, ads, product feeds and conversion setup — and, when writes are explicitly enabled, create or update campaigns, budgets and creatives with dry-run previews and before/after diffs.
      15
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      MIT

    TDQS

    C2.4/5.0

    Scored across 47 tools

    Disambiguation2/5

    Several tools have overlapping purposes: create_pmax_campaign and draft_campaign both create campaigns, remove_entity and remove_keywords both delete keywords, and update_campaign overlaps with pause_entity/enable_entity for campaign status changes. The detailed descriptions help, but an agent could easily select the wrong tool for the same underlying operation.

    Naming Consistency2/5

    The names are all snake_case but the verb conventions are inconsistent: create_ and draft_ are used interchangeably for the same 'draft a write' pattern, get_ and list_ both appear for read operations, and generic tools like remove_entity sit alongside specific remove_keywords/remove_geo_target. This makes the tool surface less predictable than it could be.

    Tool Count2/5

    With 47 tools, this is far beyond the 25-tool threshold the rubric treats as too many. The server covers a broad domain, but many tools are convenience wrappers (e.g., get_campaign_performance, get_ad_performance, run_report) and the set would benefit from consolidation.

    Completeness2/5

    There is no tool to create an ad group, which is a core requirement for building out a Search campaign: draft_campaign creates campaigns and draft_keywords/draft_responsive_search_ad need ad groups, so the lifecycle has a critical dead end. Other gaps include no ad-copy update path and no way to create shared negative keyword lists.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues