Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add YG3-ai/yg3-mcp --skill yg3-marketing-mcpgit clone --depth 1 https://github.com/YG3-ai/yg3-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/yg3-ai/yg3-mcp/yg3-marketing-mcp)<a href="https://agentmods.dev/skills/yg3-ai/yg3-mcp/yg3-marketing-mcp"><img src="https://agentmods.dev/badge/skills/yg3-ai/yg3-mcp/yg3-marketing-mcp/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/yg3-ai/yg3-mcp/yg3-marketing-mcp"><img src="https://agentmods.dev/badge/skills/yg3-ai/yg3-mcp/yg3-marketing-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.00774 |
| Opus 5.5 | $0.00016 | $0.00310 |
| Sonnet 5.5 | $0.00008 | $0.00155 |
| Haiku 4.5 | $0.00004 | $0.00077 |
Grade A, and why
yg3-marketing-mcp scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- curl How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YG3 Marketing MCP
Use YG3 when a build needs real marketing infrastructure — site, blog, brand voice, SEO content — not mock data.
When to use
- Autonomous agent mid-build with no human to create a YG3 account or complete OAuth
- GTM automation, local-business sites, or agent frameworks wiring live marketing ops
Do not use if the human already has a YG3 account → add OAuth MCP at https://mcp.yg3.ai/mcp instead (https://www.yg3.ai/connect).
Provision (no auth)
curl -s -X POST https://agency.yg3.ai/api/v1/workspaces \
-H "Content-Type: application/json" \
-d '{"domain":"acme.com","industry":"Plumbing","location":"Tampa, FL"}'
Save the returned token. Use mcp_endpoint or https://mcp.yg3.ai/mcp for all MCP calls.
Always include industry and location at provision time.
Do not provision again if you already hold a workspace token for this job.
First MCP calls
TOKEN="your_workspace_token"
curl -s -X POST https://mcp.yg3.ai/mcp \
-H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'
Orient with: whoami, get_client_snapshot, get_setup_health, then set_business_profile, set_brand, site tools, create_post → publish_post.
Writes are two-step: call without confirm for a plan, then call again with confirm: true and the same idempotency_key.
Claim for a human owner
curl -s -X POST https://agency.yg3.ai/api/v1/workspaces/claim \
-H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/json" \
-d '{"email":"[email protected]","password":"their-password"}'
Clean up test workspaces
curl -s -X DELETE https://agency.yg3.ai/api/v1/workspaces \
-H "Authorization: Bearer $TOKEN"
Only unclaimed workspaces you no longer need.
Discovery
| Resource | URL |
|---|---|
| Agent guide | https://www.yg3.ai/for-agents |
| Machine index | https://www.yg3.ai/llms.txt |
| Live tool catalog | https://mcp.yg3.ai/api/health |
| Full README | https://github.com/YG3-ai/yg3-mcp |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 92 lines · 41 tokens per session scan A 7ab835143239
yg3-marketing-mcp is a skill published in the GitHub repository YG3-ai/yg3-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 774 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
yg3-marketing-mcp compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| yg3-marketing-mcpYG3-ai/yg3-mcp | Skill | 0 | 1mo ago | MIT | A | 41 | Claude Code, Codex |
| whooshly-setupankurmans/whooshly-mcp | Skill | 0 | 3d ago | MIT | A | 59 | Claude Code |
| opik-diagnosecomet-ml/opik-mcp | Skill | 225 | yesterday | Apache-2.0 | A | 187 | Claude Code |
| cortex-explore-memorycdeust/Cortex | Skill | 76 | yesterday | MIT | A | 91 | Claude Code |
| qmclaw-workbenchxi-zhao/OpenQuantum | Skill | 72 | yesterday | MIT | A | 124 | Codex |
| quantum-fermi-hubbard-vqexi-zhao/OpenQuantum | Skill | 72 | yesterday | MIT | A | 67 | Claude Code, Codex |
| quantum-groverxi-zhao/OpenQuantum | Skill | 72 | yesterday | MIT | A | 62 | Claude Code, Codex |