Clockify AI Agent Tool Server
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This n8n workflow empowers your AI agents to seamlessly interact with Clockify, automating a wide array of time tracking and project management tasks. It acts as a comprehensive tool server, allowing LLMs to create, manage, and retrieve data for clients, projects, tasks, and time entries with natural language commands.
About This Workflow
Unlock advanced AI-driven automation for your time tracking with this n8n workflow designed as a Clockify AI Agent Tool Server. Leveraging the n8n Langchain MCP (Multi-Channel Platform) Trigger, this workflow provides a robust interface for Large Language Models (LLMs) or AI assistants to perform extensive operations within Clockify. Automate client onboarding, project initiation, task assignments, and detailed time entry management. This solution is ideal for organizations looking to integrate intelligent agents into their operational workflows, reducing manual effort and enhancing the accuracy of time and project data through conversational AI.
Key Features
- Comprehensive Clockify Control: Manage clients, projects, tasks, tags, time entries, and users.
- AI Agent Integration: Designed specifically to be invoked as a tool by Langchain agents or other LLMs via the MCP Trigger.
- Full CRUD Capabilities: Supports Create, Retrieve (Get One/Many), Update, and Delete operations across key Clockify entities.
- Automated Data Management: Facilitate hands-free management of your Clockify workspace through AI commands.
- Streamlined Workflow: Centralize various Clockify operations into a single, easily consumable AI tool endpoint.
How To Use
- Deploy the Workflow: Import this JSON snippet into your n8n instance to get the Clockify Tool MCP Server workflow up and running.
- Configure the MCP Trigger: Open the 'Clockify Tool MCP Server' node (the Langchain MCP Trigger). Here, you will define the 'tool' schema that your AI agent will use to understand available Clockify operations. This involves mapping natural language intents to specific Clockify actions within the workflow.
- Set Up Clockify Credentials: Ensure you have configured your Clockify API credentials within n8n. These credentials will be automatically used by all ClockifyTool nodes in this workflow.
- Connect Your AI Agent: Provide your Langchain agent or other LLM with the webhook URL of this n8n workflow and the tool definitions you configured in step 2. Your AI can now discover and invoke these Clockify tools.
- Invoke Clockify Actions: Your AI agent can now interpret user requests (e.g., 'Create a new client named Acme Corp') and execute the corresponding Clockify action via this n8n workflow.
Apps Used
Workflow JSON
{
"id": "e3d82ff0-fb13-4f08-accb-1a982f981fa4",
"name": "Clockify AI Agent Tool Server",
"nodes": 20,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: e3d82ff0-fb13...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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