Lazy Ads MCP
MCP server connecting compatible AI clients to advertising accounts across Meta, Google, TikTok, LinkedIn, Reddit, Apple, Bing, ChatGPT, and Snapchat for campa…
What it does
The specific capability behind this listing, and where to get it.
Lazy Ads MCP
MCP server connecting compatible AI clients to advertising accounts across Meta, Google, TikTok, LinkedIn, Reddit, Apple, Bing, ChatGPT, and Snapchat for campa…
Agentery has not yet captured structured capability detail for this provider.
Official Lazy Ads MCP links
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Lazy Ads MCP good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
Source repository available · no commercial pricing observed.
A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.
Check capability before deciding
Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
Lazy Ads MCP's local market
Nearest products by what they do.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
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"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": null,
"summary": null,
"confidence": "high",
"source_url": "https://github.com/pricing",
"checked_at": "2026-08-28T04:43:21.577Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "mcp_server",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/camerondwills/lazyads-mcp"
],
"last_checked": null,
"how_to_connect": {
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"docs": null,
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"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 488,
"uptime_7d": null,
"checked_at": "2026-08-28T02:35:33.390Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
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},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}