MCP-marketing
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP-marketingMonitor mentions of 'AI marketing' on PTT and Dcard"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP-marketing
行銷輿情 MCP Server — 提供關鍵字監控、輿情收集、AI 分析、報告產生功能。 任何業務專案皆可透過 MCP Protocol 接入使用。
專案結構
MCP-marketing/
├── mcp_server/ # MCP Server 對外介面
│ └── tools/ # start_monitoring / get_mentions / generate_report / set_alert
├── agents/ # AI Agent 團隊(Orchestrator / Crawler / Analyst / Reporter)
├── crawlers/ # 各平台爬蟲(PTT / Dcard / Twitter / Facebook / YouTube / RSS)
├── db/ # 資料模型(PostgreSQL)
├── queue/ # Celery 排程任務
├── web/ # Web Dashboard(FastAPI + Next.js)
└── config/ # 環境設定快速開始
# 1. 建立 Python 環境
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
# 2. 設定環境變數
cp .env.example .env
# 編輯 .env 填入 API 金鑰
# 3. 啟動 MCP Server
python -m mcp_server.server接入其他專案(Claude Desktop)
{
"mcpServers": {
"marketing-mcp": {
"command": "/home/george/MCP/MCP-marketing/.venv/bin/python",
"args": ["-m", "mcp_server.server"],
"cwd": "/home/george/MCP/MCP-marketing",
"env": {
"MCP_PROJECT_ID": "your-project-id"
}
}
}
}可用工具
工具 | 說明 |
| 啟動關鍵字監控排程 |
| 停止監控 |
| 查詢輿情資料 |
| 產生分析報告 |
| 設定警報閾值與 webhook |
開發階段
Phase 1:專案骨架、PTT/Dcard 爬蟲、MCP Server 基礎工具
Phase 2:Twitter API、AI 分析、Celery 排程、Alert
Phase 3:Facebook/YouTube、Qdrant 語意搜尋、Web Dashboard
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