YouTube Analytics Data Reporting API Integration for AI Agents — n8n 工作流
概览
Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator?
Join the community
Complete MCP server exposing 8 YouTube Reporting API operations to AI agents.
⚡ Quick Setup
Import this workflow into your n8n instance Credentials Add YouTube Reporting API credentials Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL
🔧 How it Works
This workflow converts t
使用的节点
Sticky Note3YouTube Reporting MCP ServerList Report Types
工作流预览
⚡
Y
YouTube Reporting MCP Se…
L
List Jobs
C
Create Job 1
D
Delete Job 1
R
Retrieve Job
L
List Job Reports
R
Retrieve Report Metadata
D
Download Media
L
List Report Types
9 nodes8 edges
工作原理
- 1
触发器
工作流由 触发器 触发器启动。
- 2
处理
数据流经 9 个节点, connecting httprequesttool, mcptrigger。
- 3
输出
工作流完成自动化并将结果发送到配置的目标。
节点详情 (9)
ST#1
Sticky Note3
stickyNote
YO#2
YouTube Reporting MCP Server
n8n-nodes-langchain.mcpTrigger
LI#3
List Report Types
httpRequestTool
如何导入此工作流
- 1点击右侧 下载 JSON 按钮保存工作流文件。
- 2打开你的 n8n 实例，依次点击 工作流 → 新建 → 从文件导入。
- 3选择下载的
youtube-analytics-data-reporting-api-integration-for-ai-agents文件并点击导入。 - 4为每个服务节点配置 凭证（API 密钥、OAuth 等）。
- 5点击 测试工作流 验证一切正常，然后激活它。
或直接在 n8n → 从 JSON 导入 中粘贴：
{ "name": "YouTube Analytics Data Reporting API Integration for AI Agents", "nodes": [...], ...}
集成
httprequesttoolmcptrigger
创建者
David Ashby
@cfomodz
标签
httprequesttoolmcptrigger