
YG3 Marketing MCP
io.github.YG3-aiPublished by GitHub account YG3-aiv1.0.0Updated Oct 24, 2026
Marketing MCP: content, SEO, outbound, LinkedIn, ads. Agents provision a sandbox with one POST.
Overview
YG3 Marketing MCP is a remote marketing workspace server that lets an assistant provision a workspace, build and publish a site, and run content, SEO, ads and…
- What you can do
- Provision and inspect a marketing workspace: create a sandbox, confirm token scope, read full workspace state and integration health
- Set up business profile and brand: industry, location, audience, brand voice and positioning
- Create and publish blog content to a hosted site on the provider's subdomain
- File and manage SEO/AEO work and AI search presence
- Unlock paid channels such as Google Ads writes, outbound email and LinkedIn posts on higher plans
- Read in-server platform documentation and the live tool catalog
- When to use it
- Use it when an assistant should set up and operate a small-business marketing presence end to end — site, content, SEO and later ads or outbound — rather than just drafting posts. It suits autonomous agents or CI runs that need a workspace without a human signup, and owners who already have an account and want to connect it to their AI client.
- Requirements
- Remote streamable HTTP endpoint; no local package. Authentication is required via the Authorization header: either a Bearer token from the provider's workspace provisioning API (agent path) or an OAuth session (human path). Agent provisioning needs no signup; a domain or name, industry and location are supplied at provisioning.
Installation
In SourceWeft
- Open YG3 Marketing MCP in the dashboard and add it to a workspace.
- Connect the required credentials. They are stored privately and never shown on public pages.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/io.github.YG3-ai%2Fyg3-mcp/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Other MCP clients
Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.
{
"mcpServers": {
"yg3-marketing": {
"type": "http",
"url": "https://mcp.yg3.ai/mcp"
}
}
}README
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.
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).
Quick start (agent path)
Python example: examples/provision-and-call.py
Tools
200+ MCP tools (live count: https://mcp.yg3.ai/api/health). Common entry points:
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/mcpas a custom MCP connector - Sign in when prompted
- Setup guide (per AI client, including Grok): https://www.yg3.ai/connect
Claude Code:
Cursor / VS Code MCP config: see examples/cursor-mcp.json
Agent path (no login)
Provision
Optional: "name" if you have no domain yet.
201 response:
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:
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)
If the email already has a YG3 account, omit password — the workspace attaches to that account.
Delete a test workspace
Only unclaimed workspaces. Archived, not erased.
Discovery
After connecting, read platform docs via MCP:
yg3://docs/agent-integrationyg3://docs/getting-startedyg3://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
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
Registry namespace: io.github.YG3-ai/yg3-mcp
Listed under Marketing on mcpservers.org and Glama.
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.
Source: README.md at commit 473d7bb
Tools
0Version history
1- v1.0.0LatestSep 16, 2026
Score
85% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 daysRequired25 pts
- Auth declaredRequired10 pts
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts