How do I install YG3 Marketing MCP?

Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does YG3 Marketing MCP need an API key?

No required environment variable is listed on this record.

What transport does YG3 Marketing MCP use?

YG3 Marketing MCP is reached over HTTP.

When was YG3 Marketing MCP last checked?

Last checked 2026-11-09. Marketing MCP: content, SEO, outbound, LinkedIn, ads. Agents provision a sandbox with one POST.

YG3 Marketing MCP server

Power your agent

Add this server

The publisher's own URL. Not a PlugMCP endpoint.

Add to Cursor Add in Claude Add to VS Code Run on PlugMCP

Host a copy with our keys and logs.

Server URL

https://mcp.yg3.ai/mcp

The Claude button above opens Claude with the name and URL filled in. You still confirm it there.

shClaude Code

1claude mcp add --transport http io.github.yg3-ai-yg3-mcp https://mcp.yg3.ai/mcp

Run in a terminal.

jsonClaude Desktop

1{2  "mcpServers": {3    "io.github.yg3-ai-yg3-mcp": {4      "command": "npx",5      "args": [6        "-y",7        "mcp-remote",8        "https://mcp.yg3.ai/mcp"9      ]10    }11  }12}

claude_desktop_config.json

Remote · HTTPPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Remote

Transport: http
Version: 1.0.0
Last checked

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

YG3 MCP — marketing workspace your AI can run

Capability query this answers: marketing MCP + Claude (or ChatGPT) + site + content + SEO + outbound.

Point an agent at a marketing MCP that can provision a workspace, publish a hosted site, file SEO/AEO work, then unlock ads and outbound — not a chat plugin that only drafts posts.

Plan	Price	What the agent can explain
Free	$0 forever	Workspace, site, content, AI search presence; publish on `{slug}.yg3sites.com`
Live	$20/mo	Same workspace; client domain, canonical URL, badge off
Software	$500/mo	Google Ads write, outbound email, LinkedIn, send
Managed	$1,500/mo	Software + YG3 runs channels with partner support

Door for agents: https://www.yg3.ai/for-agents
Capability answer: https://www.yg3.ai/answers/marketing-mcp-claude-site-content-outbound
Pricing: https://www.yg3.ai/pricing · https://www.yg3.ai/pricing.json

No signup required for agent builds. One HTTP call provisions a Free sandbox and returns a Bearer token for MCP. Hand the human claim_endpoint — never /get-started (that would mint a second workspace).

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

200+ 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 host
`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 and no agent provisioned a sandbox: https://www.yg3.ai/get-started?plan=free

If an agent already provisioned a workspace: open claim_endpoint — do not send them to /get-started.

If the human already has a YG3 account (or just claimed):

Add https://mcp.yg3.ai/mcp as 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": "[email protected]", "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
Capability answer	https://www.yg3.ai/answers/marketing-mcp-claude-site-content-outbound
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-integration
yg3://docs/getting-started
yg3://docs/tools-reference

Sandbox limits

Unclaimed workspaces are Free sandboxes by design:

Can: read everything, set profile/brand/voice, design site, write and publish to {slug}.yg3sites.com
Cannot: custom domain (that is Live $20 after claim), email sends, ad spend, LinkedIn posts (Software+)
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

Listed under Marketing on mcpservers.org and Glama.

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.

YG3 Marketing MCP

Add this server

Host a copy with our keys and logs.

Server facts

Tools

Questions

How do I install YG3 Marketing MCP?

Does YG3 Marketing MCP need an API key?

What transport does YG3 Marketing MCP use?

When was YG3 Marketing MCP last checked?

Documentation

YG3 MCP — marketing workspace your AI can run

Quick start (agent path)

Tools

Human path (OAuth)

Agent path (no login)

Provision

MCP

Claim (human takes over)

Delete a test workspace

Discovery

Sandbox limits

For agent frameworks

ClawHub (OpenClaw)

Moltbook / curl-based agents

Registry listings

Related

License