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Google calendar MCP server for AI agent with dynamic scheduling

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Google Calendar AI Agent with Dynamic Scheduling Version : 1.0.0 n8n Version : 1.88.0+ Author : Koresolucoes License : MIT Description An AI powered workflow to automate Google Calendar operations ...

Best for

  • Personal Productivity automation workflows
  • AI Chatbot automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.mcptrigger, n8n-nodes-base.googlecalendartool

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Luciano Gutierrez.

Original n8n.io source

1.1 Workflow description

Title
Google calendar MCP server for AI agent with dynamic scheduling
Workflow name
Google calendar MCP server for AI agent with dynamic scheduling

Google Calendar AI Agent with Dynamic Scheduling

Version: 1.0.0
n8n Version: 1.88.0+
Author: Koresolucoes License: MIT


Description

An AI-powered workflow to automate Google Calendar operations using dynamic parameters and MCP (Model Control Plane) integration. Enables event creation, availability checks, updates, and deletions with timezone-aware scheduling [[1]][[2]][[8]].

Key Features:

  • đź“… Full Calendar CRUD: Create, read, update, and delete events in Google Calendar.
  • ⏰ Availability Checks: Verify time slots using AVALIABILITY_CALENDAR node with timezone support (e.g., America/Sao_Paulo).
  • 🤖 AI-Driven Parameters: Use $fromAI() to inject dynamic values like Start_Time, End_Time, and Description [[3]][[4]].
  • đź”— MCP Integration: Connects to an MCP server for centralized AI agent control [[5]][[6]].

Use Cases

  1. Automated Scheduling: Book appointments based on AI-recommended time slots.
  2. Meeting Coordination: Sync calendar events with CRM/task management systems.
  3. Resource Management: Check room/equipment availability before event creation.

Instructions

1. Import Template

  • Go to n8n > Templates > Import from File and upload this workflow.

2. Configure Credentials

  • Add Google Calendar OAuth2 credentials under Settings > Credentials.
  • Ensure the calendar ID matches your target (e.g., ODONTOLOGIA group calendar).

3. Set Up Dynamic Parameters

  • Use $fromAI('Parameter_Name') in nodes like CREATE_CALENDAR to inject AI-generated values (e.g., event descriptions).

4. Activate & Test

  • Enable the workflow and send test requests to the webhook path /mcp/:tool/calendar.

Tags

Google Calendar Automation MCP AI Agent Scheduling CRUD


Screenshots

License

This template is licensed under the MIT License.


Notes:

  • Extend multi-tenancy by adding :userId to the webhook path (e.g., /mcp/:userId/calendar) [[7]].
  • For timezone accuracy, always specify options.timezone in availability checks [[8]].
  • Refer to n8n’s Google Calendar docs for advanced field mappings.

1.2 Logical Blocks

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.

2. Block-by-Block Analysis

Block 1 - MCP_CALENDAR

Type / Role
@n8n/n8n-nodes-langchain.mcpTrigger - mcpTrigger
Config choices
Version 1

Block 2 - GET_CALENDAR

Type / Role
n8n-nodes-base.googleCalendarTool - googleCalendarTool
Config choices
Version 1.3

Block 3 - GET_ALL_CALENDAR

Type / Role
n8n-nodes-base.googleCalendarTool - googleCalendarTool
Config choices
Version 1.3

Block 4 - DELETE_CALENDAR

Type / Role
n8n-nodes-base.googleCalendarTool - googleCalendarTool
Config choices
Version 1.3

Block 5 - UPDATE_CALENDAR

Type / Role
n8n-nodes-base.googleCalendarTool - googleCalendarTool
Config choices
Version 1.3

Block 6 - AVALIABILITY_CALENDAR

Type / Role
n8n-nodes-base.googleCalendarTool - googleCalendarTool
Config choices
Version 1.3

Block 7 - CREATE_CALENDAR

Type / Role
n8n-nodes-base.googleCalendarTool - googleCalendarTool
Config choices
Version 1.3

3. Summary Table

Workflow Google calendar MCP server for AI agent with dynamic scheduling
Complexity intermediate
Nodes 7
Categories Personal Productivity, AI Chatbot
Author Luciano Gutierrez
Published 23 Apr 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/3677/3677.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

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.

Frequently asked questions

What does Google calendar MCP server for AI agent with dynamic scheduling do?

Google Calendar AI Agent with Dynamic Scheduling Version : 1.0.0 n8n Version : 1.88.0+ Author : Koresolucoes License : MIT Description An AI powered workflow to automate Google Calendar operations ...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

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 Personal Productivity, AI Chatbot use case.