amekala/ads-mcp/adspirer-chatgpt-ads

Claude Code and agent skill by amekala/ads-mcp

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Create and manage ChatGPT Ads (OpenAI Ads) through Adspirer — ads that appear inside ChatGPT responses. Use for OpenAI Ads, ChatGPT advertising, chat card ads, or placing ads in ChatGPT. Covers the one-shot launch tool and irreversible archiving.

Install

npx vskill@latest install amekala/ads-mcp/adspirer-chatgpt-ads

SKILL.md

ChatGPT Ads (OpenAI Ads)

Ads that appear inside ChatGPT responses. Everything goes through the chatgpt_ads router. Follow adspirer-mcp for the two-step.

Account parameter: account_id, as a string. list_chatgpt_accounts enumerates them. Budgets are in dollars — $50/day is 50.0.

Launching

launch_chatgpt_ad does the whole thing in one call: campaign, ad group, creative upload, and a chat-card ad. Use it when the user hands you a headline, body, image, and destination.

Use the granular path — create_chatgpt_campaign → create_chatgpt_ad_group → upload_chatgpt_creative → create_chatgpt_ad — when they want to review each level, or when you're adding to a campaign that already exists.

Either way the campaign is created paused. Nothing serves and nothing spends until it is resumed.

Locations

Don't pass a place name. chatgpt_geo_lookup resolves "United States" or "Greater London" to the location ids OpenAI expects.

Archiving is not pausing

archive_chatgpt_campaign is irreversible. pause_chatgpt_campaign is not. When the user says "stop this campaign," they nearly always mean pause. Confirm explicitly before archiving anything, and name what will be lost.

Pause and resume exist at all three levels — campaign, ad group, and ad. Pause the narrowest thing that solves the problem.

Creative

A chat card is a headline, a body, an image, and a destination URL. It is read inline in a conversation, so the copy has to earn attention without a scroll: lead with the offer, keep the body concrete, and make the destination match the promise. This is not the place for a slogan.

Conversions

set_chatgpt_conversions_config wires conversion tracking; list_chatgpt_conversion_events shows what's firing and test_chatgpt_conversion proves it end-to-end before the user trusts the numbers. Optimizing toward conversions that were never verified is how budgets get wasted quietly.

Reading performance

Through the router: {"action": "execute", "tool_name": "get_chatgpt_performance", ...}. get_chatgpt_insights adds the qualitative breakdown.

This is a young surface — inventory and delivery are less predictable than Google or Meta. Set the expectation before the user compares a first week here to a mature Search campaign.

Security

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Source

Popularity

Repository stars
75
Repository forks
12
7-day trend score
22

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