Natural language media buying for programmatic ad campaigns
Discover inventory, launch display and video buys, and track ROI through an agent skill that speaks plain English instead of dashboard clicks.
- LinkLoot access
- Free
- Provider costs
- Unknown
What you get from it
What it does
The AdCP Advertising skill connects OpenClaw agents to the Ad Context Protocol, letting marketing teams run programmatic campaigns without learning every ad platform's interface. You describe what you want in natural language—"find premium video placements for luxury brands" or "create a $10k display campaign targeting tech professionals in California"—and the skill handles discovery, creation, creative uploads, and performance tracking.
It supports eight core operations: capability discovery, product search, format listing, media buy creation and updates, creative sync and retrieval, and delivery metrics. Pricing models include CPM, auction-based bidding, CPCV for video completions, flat fees, and cost-per-point. Targeting overlays cover geography, demographics, behavioral interests, and contextual keywords.
Who should use it
Media buyers managing multi-publisher spend, agencies automating client reporting, e-commerce brands launching retargeting campaigns, and startups running lean marketing budgets. The skill reduces manual setup time by replacing complex dashboards with conversational commands. If your team already uses Facebook or Google ads but struggles with cross-channel optimization, this abstracts those platforms behind one interface.
Setup surface
MIT-licensed and open-source via GitHub. A public test agent at test-agent.adcontextprotocol.org requires no authentication for development—you can prototype workflows immediately. Production use needs valid auth tokens per publisher agreements; the documentation notes real campaigns may take minutes to days due to human approval steps. No hosting costs are mentioned, but actual ad spend remains separate from the tool itself.
Runner test plan
Static checks will verify JSON schema compliance for brand manifests and package structures. Dependency scanning covers the @adcp/client npm import shown in examples. Injection tests probe how the skill parses free-text briefs into structured queries. Sandbox execution against the test agent validates response handling for pending, completed, and failed status fields. Screenshots capture campaign creation flows. Residual risks include token expiration during long-running approvals and mismatched pricing option IDs between publishers.
Risk notes
AdCP is explicitly asynchronous—expect delays on campaign launches. The docs warn against assuming real-time responses; polling logic is required. Test agent credentials are public, so never reuse them in production. Budget errors (negative values, missing fields) return validation failures rather than silent drops. Publisher-specific approval workflows mean some campaigns stall until humans sign off. The skill inherits whatever targeting precision each connected ad network provides, which varies widely.
Source links
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