Server data from the Official MCP Registry
Marketing MCP: content, SEO, outbound, LinkedIn, ads. Agents provision a sandbox with one POST.
About
Marketing MCP: content, SEO, outbound, LinkedIn, ads. Agents provision a sandbox with one POST.
Remote endpoints: streamable-http: https://mcp.yg3.ai/mcp
Security Report
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-yg3-ai-yg3-mcp": {
"url": "https://mcp.yg3.ai/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
YG3 MCP — agent integration
Connect autonomous agents to YG3 marketing operations: content and SEO, outbound email, LinkedIn, and paid ads.
No signup required for agent builds. One HTTP call provisions a sandbox workspace and returns a Bearer token for MCP.
| Path | Use when |
|---|---|
| Human OAuth | Owner has a YG3 account |
| Agent provisioning | Autonomous agent mid-build, CI, or SDK runtime |
Quick start (agent path)
# 1. 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"}'
# Response includes: token, mcp_endpoint, workspace.url, claim_endpoint
# 2. List MCP tools
curl -s -X POST https://mcp.yg3.ai/mcp \
-H "Authorization: Bearer YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'
# 3. Call a tool
curl -s -X POST https://mcp.yg3.ai/mcp \
-H "Authorization: Bearer YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"get_client_snapshot","arguments":{}}}'
Python example: examples/provision-and-call.py
Tools
197+ MCP tools (live count: https://mcp.yg3.ai/api/health). Common entry points:
| Tool | Purpose |
|---|---|
whoami | Confirm token scope |
get_client_snapshot | Full workspace state |
get_setup_health | Integration status |
set_business_profile | Industry, location, audience |
set_brand | Brand voice and positioning |
create_post / publish_post | Blog content on free subdomain |
read_platform_doc | In-MCP docs (getting-started, agent-integration, tools-reference) |
Full catalog after connecting: tools/list or GET https://mcp.yg3.ai/api/health.
Human path (OAuth)
There is no "client vs operator" signup choice. Humans enter email + password once; the platform resolves their role automatically.
If the human does not have an account yet, create one first: https://www.yg3.ai/get-started?plan=free
If the human already has a YG3 account (or just signed up):
- Add
https://mcp.yg3.ai/mcpas a custom MCP connector - Sign in when prompted
- Setup guide (per AI client, including Grok): https://www.yg3.ai/connect
Claude Code:
claude mcp add --transport http yg3 https://mcp.yg3.ai/mcp
Cursor / VS Code MCP config: see examples/cursor-mcp.json
Agent path (no login)
Provision
POST https://agency.yg3.ai/api/v1/workspaces
Content-Type: application/json
{
"domain": "acme-plumbing.com",
"industry": "Plumbing",
"location": "Tampa, FL"
}
Optional: "name" if you have no domain yet.
201 response:
| Field | Meaning |
|---|---|
workspace | id, slug, name, url |
token | Bearer token for this workspace |
mcp_endpoint | JSON-RPC URL (also https://mcp.yg3.ai/mcp) |
claim_endpoint | Where the owner attaches later |
expires_in_days | 14 for unclaimed workspaces |
Do not provision again if you already hold a workspace token for the current job.
MCP
All calls are JSON-RPC 2.0 over HTTP:
POST https://mcp.yg3.ai/mcp
Authorization: Bearer <token>
Methods: tools/list, tools/call, resources/read, initialize
Writes are two-step: call without confirm to get a plan, then call again with confirm: true and the same idempotency_key.
Claim (human takes over)
POST https://agency.yg3.ai/api/v1/workspaces/claim
Authorization: Bearer <workspace-token>
{"email": "owner@example.com", "password": "..."}
If the email already has a YG3 account, omit password — the workspace attaches to that account.
Delete a test workspace
DELETE https://agency.yg3.ai/api/v1/workspaces
Authorization: Bearer <workspace-token>
Only unclaimed workspaces. Archived, not erased.
Discovery
| Resource | URL |
|---|---|
| Live tool catalog | https://mcp.yg3.ai/api/health |
| Agent guide (web) | https://www.yg3.ai/for-agents |
| Human connect page | https://www.yg3.ai/connect |
| Machine-readable index | https://www.yg3.ai/llms.txt |
| MCP OAuth metadata | https://mcp.yg3.ai/.well-known/oauth-protected-resource |
After connecting, read platform docs via MCP:
yg3://docs/agent-integrationyg3://docs/getting-startedyg3://docs/tools-reference
Sandbox limits
Unclaimed workspaces are free-tier sandboxes by design:
- Can: read everything, set profile/brand/voice, design site, write and publish articles to
blog-{slug}.yg3.ai - Cannot: custom domain, email sends, ad spend, LinkedIn posts
- Expires: 14 days unless claimed
For agent frameworks
Copy AGENTS.md into your repo or point your agent at this README. It tells coding agents when and how to provision YG3 during a build.
ClawHub (OpenClaw)
Publishable skill: skills/yg3-marketing-mcp/SKILL.md
clawhub login
clawhub skill publish ./skills/yg3-marketing-mcp --slug yg3-marketing-mcp --name "YG3 Marketing MCP"
Moltbook / curl-based agents
Curlable skill files (Moltbook-style): distribute/
- Install doc:
distribute/skill.md - Periodic routine:
distribute/heartbeat.md - Metadata:
distribute/skill.json
Agents can fetch from raw GitHub once this repo is public, or from https://www.yg3.ai/llms.txt.
Registry listings
| File | Purpose |
|---|---|
server.json | Official MCP Registry (mcp-publisher publish) |
glama.json | Glama directory indexing |
Registry namespace: io.github.YG3-ai/yg3-mcp
Related
- Elysia LLM API (text/vision/image models): https://www.yg3.ai/for-developers
- Quill (multi-AI thinking partner, PyPI): https://github.com/YG3-ai/quill
License
MIT — see LICENSE.
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