
YG3 Marketing MCP
io.github.YG3-ai由 GitHub 帳號 YG3-ai 發布v1.0.0更新於 Oct 24, 2026
Marketing MCP: content, SEO, outbound, LinkedIn, ads. Agents provision a sandbox with one POST.
概覽
YG3 Marketing MCP 是遠端行銷工作區伺服器,讓助理開通工作區、架設並發佈網站,並執行內容、SEO、廣告與外呼行銷工作。
- 可以做什麼
- 開通與檢視行銷工作區:建立沙箱、確認權杖範圍、讀取完整工作區狀態與整合健康度
- 設定業務資料與品牌:產業、地點、受眾、品牌語氣與定位
- 建立並發佈部落格內容到託管網站
- 處理 SEO/AEO 相關工作與 AI 搜尋能見度
- 在較高方案下啟用 Google Ads 寫入、外呼郵件與 LinkedIn 發文等付費管道
- 讀取伺服器內的平台文件與即時工具目錄
- 適用情境
- 適合讓助理端到端建立並經營小型企業的行銷版圖——網站、內容、SEO,之後再到廣告或外呼——而不只是草擬貼文。也適合無需人工註冊即可取得工作區的自主任務代理或 CI 流程,以及已有帳號、想把帳號接上 AI 用戶端的老闆。
- 執行需求
- 遠端 streamable HTTP 端點,不需本機套件。必須透過 Authorization 標頭驗證:使用服務商工作區開通 API 回傳的 Bearer 權杖(代理路徑),或 OAuth 工作階段(人工路徑)。代理開通無需註冊,需提供網域或名稱、產業與地點。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 YG3 Marketing MCP,將其新增到工作區。
- 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.github.YG3-ai%2Fyg3-mcp/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"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.
來源:README.md,提交 473d7bb
工具
0版本歷史
1- v1.0.0最新Sep 16, 2026
評分
已滿足適用檢查項的 85%
該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。
- 近 30 天內可連通必需25 分
- 已宣告認證方式必需10 分
- 已列出工具15 分
請讓伺服器在無憑證時回應 tools/list,或發布可在沙箱中無憑證啟動的軟體包。
- 描述必需15 分
- 圖示10 分
- 文件15 分
- 授權條款10 分