How to Use the TrackingTime MCP in OpenAI Agents SDK

Q: Can I update task details with the OpenAI Agents SDK?

Yep. The updatetask tool lets your agent modify existing tasks. You'll pass the ID and new parameters directly to the MCP Server, ensuring the data change is logged correctly.

Q: What kind of reports can I get with TrackingTime using the OpenAI Agents SDK?

You can pull comprehensive time sheets by calling listtimeentries. The agent aggregates this raw log data, allowing you to build custom profitability or utilization reports.

Q: How is client information handled when I use TrackingTime with the OpenAI Agents SDK?

The server exposes listcustomers, letting your agent retrieve all project clients. You can then cross-reference this list against specific time entries to bill accurately.

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Connect TrackingTime MCP to OpenAI Agents SDK

Create your Vinkius account to connect TrackingTime to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup TrackingTime with OpenAI Agents SDK

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Manage Time Logs with the MCP Server

The `list_time_entries` tool lets agents pull all recorded time logs. You can also use `add_time_entry` to manually record hours spent on specific tasks. This is perfect for building full billing cycles. Agents read existing data, and when they need to adjust records, they execute a direct write using the entry tools.

Structure Projects and Tasks

Agents use `list_projects` and `create_project` to maintain an accurate view of your client portfolio. You can also manage granularity by calling `list_tasks` or invoking `update_task` when a scope changes. This setup ensures that every time entry is tied back to the correct, current project structure.

Audit Team Membership and Users

To keep track of who's doing the work, agents access `list_workspace_users` to get team member data. They also call `get_user_profile` to verify permissions or current roles. This control over user context is critical for compliance and accurate time allocation across different teams.

Setup guide

Set up TrackingTime MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all TrackingTime tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives TrackingTime tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate TrackingTime tools and returns structured results. Copy the full example on the right to get started.

agent.py

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

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="TrackingTime Agent",
            instructions="You have access to TrackingTime tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TrackingTime. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about TrackingTime MCP in OpenAI Agents SDK

It uses auto-discovered tools. When your agent needs to pull a list of projects, it simply calls `list_projects` through the MCP Server without needing manual setup or code changes.

Yep. The `update_task` tool lets your agent modify existing tasks. You'll pass the ID and new parameters directly to the MCP Server, ensuring the data change is logged correctly.

You can pull comprehensive time sheets by calling `list_time_entries`. The agent aggregates this raw log data, allowing you to build custom profitability or utilization reports.

The server exposes `list_customers`, letting your agent retrieve all project clients. You can then cross-reference this list against specific time entries to bill accurately.

This TrackingTime MCP Server handles user profile data, including team member details and project client lists. It primarily deals with structured text strings for names, IDs, and basic location information.

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