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Timeero MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to Check Timeero Status, Get Timeero Job, Get Timeero Schedule, and more

Built by Vinkius GDPR 11 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Timeero 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 Timeero app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 11 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="Timeero Assistant",
            instructions=(
                "You help users interact with Timeero. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
Timeero
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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 Timeero MCP Server

Connect your Timeero account to any AI agent and take full control of your mobile workforce orchestration and high-fidelity time tracking workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 11 tools from Timeero through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Timeero, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Timesheet Portfolio Orchestration — List all time log entries, retrieve detailed high-fidelity status metadata, and monitor workforce productivity programmatically
  • Job Pipeline Intelligence — Query defined jobs and projects, retrieve detailed technical metadata, and stay on top of your field operations in real-time
  • Schedule Coordination — Access your complete directory of high-fidelity work schedules and user shifts to optimize workforce distribution directly through your agent
  • User Directory Discovery — Access complete high-fidelity user profiles and team member directories to understand and orchestrate your workforce programmatically
  • Task Catalog Access — Query the complete high-fidelity catalog of assigned tasks and activities to maintain perfect contextual alignment for every shift
  • Operational Monitoring — Verify account-level API connectivity and monitor tracking activity volume directly through your agent for perfectly coordinated service scaling

The Timeero MCP Server exposes 11 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 11 Timeero tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Timeero through Vinkius, your AI agent gets direct access to every tool listed below — spanning time-tracking, gps-tracking, mobile-workforce, 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.

check_timeero_status

Check API Status

get_timeero_job

Get details for a specific job

get_timeero_schedule

Get details for a specific schedule

get_timeero_task

Get details for a specific task

get_timeero_timesheet

Get details for a specific timesheet

get_timeero_user

Get details for a specific user

list_timeero_jobs

List active jobs

list_timeero_schedules

List work schedules

list_timeero_tasks

List available tasks

list_timeero_timesheets

List timesheets

list_timeero_users

List Timeero users

Connect Timeero to OpenAI Agents SDK via MCP

Follow these steps to wire Timeero 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 11 tools from Timeero

Why Use OpenAI Agents SDK with the Timeero MCP Server

OpenAI Agents SDK provides unique advantages when paired with Timeero 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

Timeero + OpenAI Agents SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Timeero in OpenAI Agents SDK

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

01

"List all active team members in Timeero."

02

"Show the last 5 timesheets recorded."

03

"Check the available tasks for the 'Repair' job."

Troubleshooting Timeero MCP Server with OpenAI Agents SDK

Common issues when connecting Timeero 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.

Timeero + OpenAI Agents SDK FAQ

Common questions about integrating Timeero 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.