How to Use the Hubstaff MCP in OpenAI Agents SDK

Connect your OpenAI Agents SDK to Hubstaff. Let your agents manage timesheets, projects, and user activity with built-in execution guards.

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Connect Hubstaff MCP to OpenAI Agents SDK

Create your Vinkius account to connect Hubstaff 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 Hubstaff with OpenAI Agents SDK

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Manage Projects with Guardrails

The `list_projects` and `get_project` tools let your agent pull a project's status and structure from Hubstaff. Instead of just getting raw data, your agent can ask for a summary and decide its next move, like pulling specific sub-items with `list_tasks`. Here's the key: the OpenAI Agents SDK lets you set guardrails. Your agent can propose an action—like fetching a project—and you can require human approval before it actually runs. This is critical for systems that need oversight.

Traceable Time & Activity Audits

Use the `list_time_entries` and `list_activities` tools to build automated reports. Your agent can grab all billable hours for a specific project or check a user's latest activity log. It's not just a data dump; you can ask for totals, averages, or summaries. Because you're using the OpenAI Agents SDK, every one of these tool calls is logged in your dashboard. You get a full trace of what the agent saw, what it decided, and which Hubstaff tool it called. This makes debugging complex agent behavior much simpler.

Run Multi-Agent Workflows

This MCP server exposes tools for navigating your entire org chart, like `list_organizations` and `list_users`. One agent can be responsible for finding the right person in a department. Once it has the user ID, it can hand off to a specialized agent. This is exactly what the handoff feature in the OpenAI Agents SDK is for. A 'router' agent can use `get_user` to validate a user exists, then pass control to a 'reporting' agent to run `list_time_entries` for that specific user. It's how you build complex, multi-step automations that work.

Setup guide

Set up Hubstaff 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 Hubstaff tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Hubstaff 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="Hubstaff Agent",
            instructions="You have access to Hubstaff tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

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Common questions about Hubstaff MCP in OpenAI Agents SDK

Once connected, your agent will automatically discover the available tools. Simply ask it to 'list all projects from Hubstaff,' and it will invoke the `list_projects` tool to get the data.

Your agent can access data across five categories: organizations, projects, users, activities, and time entries. It can get individual records or list entire collections.

Yes, but you do it on the client side. The MCP server exposes all available tools, and you configure your OpenAI Agent's permissions to control which ones it's allowed to execute.

Yes, because of two layers of safety. The OpenAI Agents SDK has built-in guardrails that can require human approval before execution, and the connection itself runs through Vinkius's secure, sandboxed environment.

The server only handles your Hubstaff organization, project, user, task, and time entry data. Each request your agent makes runs in an ephemeral, zero-trust sandbox on Vinkius, and the OpenAI framework adds another layer of validation before any action is executed.

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