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TrackingTime MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Add Time Entry, Create Project, Create Task, and more

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect TrackingTime 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 TrackingTime app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 12 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="TrackingTime Assistant",
            instructions=(
                "You help users interact with TrackingTime. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
TrackingTime
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IAMAccess control
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DLPData protection
V8 IsolateSandboxed
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<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 TrackingTime MCP Server

Connect your TrackingTime account to any AI agent and simplify how you manage your productivity, project tasks, and billable hours through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from TrackingTime through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries TrackingTime, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Live Tracking — Start and stop timers for specific tasks instantly via AI commands to track your real-time activity.
  • Task Management — Create, list, and update tasks, and organize them into specific projects for better workflow.
  • Time Logging — Retrieve detailed logs of your time entries for any date range and manually add missing blocks of time.
  • Project & Client Oversight — List all projects and customers to manage your business directory and assignments.
  • Team Coordination — Query workspace users to understand team structure and member availability.
  • Account Visibility — Fetch your user profile and verify account configurations directly from the agent.

The TrackingTime MCP Server exposes 12 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 12 TrackingTime tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to TrackingTime through Vinkius, your AI agent gets direct access to every tool listed below — spanning time-tracking, timesheets, billable-hours, 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.

add_time_entry

Manual time entry

create_project

Add new project

create_task

Add new task

get_user_profile

Get current user

list_customers

List project clients

list_projects

List your projects

list_tasks

List your tasks

list_time_entries

Get time logs

list_workspace_users

List team members

start_timer

Start tracking time

stop_timer

Stop tracking time

update_task

Modify task

Connect TrackingTime to OpenAI Agents SDK via MCP

Follow these steps to wire TrackingTime 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 12 tools from TrackingTime

Why Use OpenAI Agents SDK with the TrackingTime MCP Server

OpenAI Agents SDK provides unique advantages when paired with TrackingTime 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

TrackingTime + OpenAI Agents SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for TrackingTime in OpenAI Agents SDK

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

01

"Start my timer for the 'Design Review' task."

02

"Show me all active tasks in the 'Marketing' project."

03

"What are my time logs for today?"

Troubleshooting TrackingTime MCP Server with OpenAI Agents SDK

Common issues when connecting TrackingTime 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.

TrackingTime + OpenAI Agents SDK FAQ

Common questions about integrating TrackingTime 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.