How do I get started?

Subscribe, enter your API credentials (your generated Hubstaff PAT via **User Settings → Personal access tokens**), and you're set. No code, no environment files, no postbacks — just connect and audit team activity with natural text.

Can my AI check a single associate's daily activities quickly?

Yes! Direct your prompt to fetch all logged daily activities (or activities specifically). The agent will query Hubstaff, breaking down the tracking records and formatting them directly so you won't need to manually click through web portals.

How easy is it to gather organization and project specifics?

It essentially takes seconds explicitly asking 'List my organizations and projects.' The `list_projects` functionality traverses your environment returning the IDs you need to inspect underlying items.

Is the agent suited to handle multiple large organizational hubs at once?

Yes! Due to targeted parameter queries (e.g., retrieving timesheets by target organization), HR firms and agencies scaling hundreds of contractors can extract clean textual aggregations pain-free via simple prompts.

Hubstaff MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes

Name: Hubstaff
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 9 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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="Hubstaff Assistant",
            instructions=(
                "You help users interact with Hubstaff. "
                "You have access to 9 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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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 Hubstaff MCP Server

Connect your Hubstaff tracking account to any AI agent and bring your entire workforce analytics straight to a conversational interface.

The OpenAI Agents SDK auto-discovers all 9 tools from Hubstaff through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Hubstaff, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Track Activities — Investigate how time is allocated pulling detailed tracked activities and daily activity snapshots
Workforce Management — Analyze organizations, users, and tasks without toggling native dashboard panels
Project Analytics — Determine the list of created projects and fetch precise timesheets for agile billing summaries

The Hubstaff MCP Server exposes 9 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.

How to Connect Hubstaff to OpenAI Agents SDK via MCP

Follow these steps to integrate the Hubstaff MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

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

Run the script

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

Explore tools

The agent will automatically discover 9 tools from Hubstaff

Why Use OpenAI Agents SDK with the Hubstaff MCP Server

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

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

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

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

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

Hubstaff + OpenAI Agents SDK Use Cases

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

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

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

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

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

Hubstaff MCP Tools for OpenAI Agents SDK (9)

These 9 tools become available when you connect Hubstaff to OpenAI Agents SDK via MCP:

get_organization

Get parameters surrounding an organization

get_project

Retrieve single project structure

get_user

Fetch targeted user details

list_activities

Retrieve global organizational activities logged

list_organizations

Retrieve the parent organizations

list_projects

Retrieve all active projects linked to an organization

list_tasks

Retrieve operational sub-tasks per project

list_time_entries

Read explicitly billed or logged temporal time blocks

list_users

Retrieve staff and employees under the hub

Example Prompts for Hubstaff in OpenAI Agents SDK

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

"Can you check my Hubstaff dashboard and list the organizations I have access to?"

"Retrieve all the timesheets available so I can verify billing."

"List today's daily activities tracked in the organization."

Troubleshooting Hubstaff MCP Server with OpenAI Agents SDK

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

MCPServerStreamableHttp not found

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

Agent not calling tools

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

Hubstaff + OpenAI Agents SDK FAQ

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

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.