Can I stop a running timer through the agent?

Yes! Use the `stop_current_timer` tool. Provide your workspace and user ID, and the agent will instruct Clockify to stop the active timer immediately.

How do I see the projects for a specific workspace?

Use the `list_workspace_projects` tool with the workspace ID. Your agent will fetch all projects, allowing you to see which ones are billable and their associated clients.

Where do I find my Clockify API Key?

Log in to Clockify, go to **Settings**, and select **My Profile**. Scroll to the bottom to find and generate your API Key.

Clockify MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: Clockify
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Clockify through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Clockify Assistant",
            instructions=(
                "You help users interact with Clockify. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Clockify"
        )
        print(result.final_output)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Clockify MCP Server

Connect your Clockify account to any AI agent and take full control of your time tracking and project management through natural conversation. Streamline how you monitor work hours and team productivity natively.

The OpenAI Agents SDK auto-discovers all 8 tools from Clockify through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Clockify, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Workspace Oversight — List and retrieve details for all workspaces you have access to natively
Project Intelligence — Access and monitor all projects and clients configured in your account flawlessly
Time Tracking — List and retrieve details for all time entries for any user in your team securely
Timer Management — Start and stop timers directly from your chat interface to ensure accurate logging flawlessly
Team Logistics — List all users and team members within a workspace to understand allocation securely
Productivity Auditing — Retrieve detailed time entry metadata including descriptions and project associations flawlessly

The Clockify MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Clockify to OpenAI Agents SDK via MCP

Follow these steps to integrate the Clockify MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 8 tools from Clockify

Why Use OpenAI Agents SDK with the Clockify MCP Server

OpenAI Agents SDK provides unique advantages when paired with Clockify through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Clockify + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Clockify MCP Server delivers measurable value.

Automated workflows: build agents that query Clockify, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Clockify, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Clockify tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Clockify to resolve tickets, look up records, and update statuses without human intervention

Clockify MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Clockify to OpenAI Agents SDK via MCP:

add_new_time_entry

Add a new time entry to a workspace

get_my_clockify_profile

Retrieve information about the authenticated user

list_clockify_workspaces

List all workspaces the user has access to

list_user_time_entries

List time entries for a specific user in a workspace

list_workspace_clients

List all clients configured in a workspace

list_workspace_projects

List all projects within a specific workspace

list_workspace_users

List all users within a specific workspace

stop_current_timer

Stop the currently running timer for a specific user

Example Prompts for Clockify in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Clockify immediately.

"List all my Clockify workspaces."

"Show me the last 5 time entries for user 'John Doe'."

"Stop my running timer in the 'Engineering' workspace."

Troubleshooting Clockify MCP Server with OpenAI Agents SDK

Common issues when connecting Clockify to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Clockify + OpenAI Agents SDK FAQ

Common questions about integrating Clockify MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.