YG3 Marketing MCP

Marketing MCP: content, SEO, outbound, LinkedIn, ads. Agents provision a sandbox with one POST.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾

No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for YG3 Marketing MCP, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.

Capabilities & Tool Schemas (7)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by YG3 Marketing MCP.

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

Blog content on free subdomain

Documentation Overview

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)

bash

# 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/mcp as a custom MCP connector
Sign in when prompted
Setup guide (per AI client, including Grok): https://www.yg3.ai/connect

Claude Code:

Terminal

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

Code

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:

Code

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)

Code

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

Code

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-integration
yg3://docs/getting-started
yg3://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

bash

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

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.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Social Media View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit

9d ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about YG3 Marketing MCP

We don't have a confirmed install command for YG3 Marketing MCP yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/YG3-ai/yg3-mcp) for the current steps.

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Technical Specs & Signals

CategorySocial Media

45Quality signal: Fair · 45/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools20/30

Adoption & activity4/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 🌐 Social Media →Best MCP servers for Social Media →Alternatives to YG3 Marketing MCP →Install in Claude Desktop Install in Cursor Install in VS Code

YG3 Marketing MCP

Marketing MCP: content, SEO, outbound, LinkedIn, ads. Agents provision a sandbox with one POST.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Manual Client & Custom JSON ConfigExpand JSON ▾

Capabilities & Tool Schemas (7)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by YG3 Marketing MCP.

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

Blog content on free subdomain

Documentation Overview

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)

bash

# 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/mcp as a custom MCP connector
Sign in when prompted
Setup guide (per AI client, including Grok): https://www.yg3.ai/connect

Claude Code:

Terminal

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

Code

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:

Code

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)

Code

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

Code

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-integration
yg3://docs/getting-started
yg3://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

bash

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

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.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Social Media View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit

9d ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about YG3 Marketing MCP

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/yg3-marketing-mcp?style=directory)](https://allmcps.com/mcp/yg3-marketing-mcp)

HTML Embed

<a href="https://allmcps.com/mcp/yg3-marketing-mcp"><img src="https://allmcps.com/api/badge/yg3-marketing-mcp?style=directory" alt="YG3 Marketing MCP on AllMCPs" /></a>

Technical Specs & Signals

CategorySocial Media

45Quality signal: Fair · 45/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools20/30

Adoption & activity4/15

Community engagement0/10

★ Featured

AllMCPs Server

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 🌐 Social Media →Best MCP servers for Social Media →Alternatives to YG3 Marketing MCP →Install in Claude Desktop Install in Cursor Install in VS Code