Block 1 - MCP Server Trigger
- Type / Role
- @n8n/n8n-nodes-langchain.mcpTrigger - mcpTrigger
- Config choices
- Version 1.1
This workflow is provided as-is. Please review and test before using in production.
This workflow contains community nodes that are only compatible with the self hosted version of n8n. MCP Gmail Workflow – AI Powered Email Management What It Does A smart n8n workflow that connec...
@n8n/n8n-nodes-langchain.mcptrigger, n8n-nodes-base.gmailtool, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by David Olusola.
Original n8n.io sourceThis workflow contains community nodes that are only compatible with the self-hosted version of n8n.
A smart n8n workflow that connects Gmail with an AI agent (via MCP), letting you send, read, and organize emails using natural language.
🧠 AI Commands: “Send email to John about the budget” 📥 Inbox Control: Mark read/unread, apply/remove labels 🗂 Smart Organization: Auto-label based on content 🤖 MCP-Ready: Works with Claude, ChatGPT, etc.
“📤 Send a follow-up to the client about yesterday’s meeting” “📬 Mark all newsletters as read and label ‘Newsletter’” “🧾 Summarize latest email from Sarah” “🗃 Label all Project X emails as ‘Project-X-2024’” “⭐ Find unread emails from my manager and mark as important” 🛠 Setup Guide 🔑 Prerequisites
n8n (self-hosted or cloud) Gmail API credentials MCP-compatible AI (optional but powerful)
Copy JSON → Open n8n → Import → Paste → Done ✅
Create Google project → Enable Gmail API Create OAuth2 creds → Add n8n redirect URI In n8n: Add Gmail OAuth2 → Paste Client ID/Secret → Connect
Find your credential ID in n8n Update each Gmail node with your ID
Use provided webhook URL in your AI system Send test prompts to verify connection
✅ “Send a test email” ✅ “Read latest email” ✅ “Label last email as ‘Test’” ✅ “Mark latest email as unread”
Create custom labels in Gmail Use HTTPS + webhook auth Add retries and error handling in n8n 🧯 Troubleshooting ❗ Gmail Auth Error? → Re-auth and check redirect URI ❗ Webhook not firing? → Check endpoint + manual test ❗ Label errors? → Use correct label names or IDs ✅ Required Gmail Scopes: gmail.modify gmail.send 📈 Best Practices 🔁 Test regularly 🔒 Use minimal permissions 🏷 Consistent label naming 🔍 Monitor execution + webhook logs 🎉 You’re All Set! Control Gmail with your voice or text through AI. Make managing emails smarter, faster, and 100% automated 💌
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Gmail MCP workflow - AI-powered email management |
|---|---|
| Complexity | advanced |
| Nodes | 15 |
| Categories | Ticket Management, AI Chatbot |
| Author | David Olusola |
| Published | 28 Jun 2025 |
Use the JSON export at /data/workflows/5423/5423.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
This workflow contains community nodes that are only compatible with the self hosted version of n8n. MCP Gmail Workflow – AI Powered Email Management What It Does A smart n8n workflow that connec...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Ticket Management, AI Chatbot use case.