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ClockShark MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 10 tools to Create Job, Create Shift, Create Task, and more

Built by Vinkius GDPR 10 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The ClockShark app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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="ClockShark Assistant",
            instructions=(
                "You help users interact with ClockShark. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
ClockShark
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 ClockShark MCP Server

Connect your ClockShark account to any AI agent and take full control of your field service workforce and time-tracking workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from ClockShark through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ClockShark, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Timesheet Orchestration — List and manage individual time tracking entries programmatically, retrieving detailed historical clock-in/out records and location metadata
  • Schedule & Shift Intelligence — Create and monitor work shifts and job assignments in real-time to maintain a perfectly coordinated field operation
  • Employee Lifecycle Management — Access complete employee profiles and retrieve directories of active or inactive staff to oversee team distribution
  • Job & Task Architecture — Programmatically manage your directory of service jobs and project codes to ensure your crew always has the high-fidelity info they need
  • Productivity Monitoring — Monitor labor costs and project progress by creating new service tasks and tracking work types directly through your agent

The ClockShark MCP Server exposes 10 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.

All 10 ClockShark tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to ClockShark through Vinkius, your AI agent gets direct access to every tool listed below — spanning time-tracking, gps-tracking, timesheets, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_job

Add a new job/project

create_shift

Schedule a new shift

create_task

Add a new work task

create_timesheet

Manually add a time entry

get_employee_details

Get details for a staff member

list_employees

List all employees

list_jobs

List all jobs/projects

list_schedules

List employee shifts

list_tasks

List all service tasks

list_timesheets

List time tracking entries

Connect ClockShark to OpenAI Agents SDK via MCP

Follow these steps to wire ClockShark into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 10 tools from ClockShark

Why Use OpenAI Agents SDK with the ClockShark MCP Server

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

01

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

02

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

03

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

04

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

ClockShark + OpenAI Agents SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for ClockShark in OpenAI Agents SDK

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

01

"List all active employees in my ClockShark account."

02

"Schedule a shift for 'John' (ID: 123) for tomorrow from 8 AM to 5 PM."

03

"Show the timesheets for 'last_week'."

Troubleshooting ClockShark MCP Server with OpenAI Agents SDK

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

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

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

ClockShark + OpenAI Agents SDK FAQ

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

01

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.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.