How do I find my Worksection Administrative API Key?

Log in to Worksection, navigate to **Account Settings** > **API**, and you will find your Administrative API Key listed there along with your account subdomain.

Can the AI stop active timers for team members?

Yes! Use the `stop_timer` tool and provide the task identifier (page) to stop any active time tracking for that specific task in your account.

INSTANT PLUG AND PLAY

Worksection MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Complete Task, Create Task, Get Project Details, and more

Name: Worksection
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools SDK

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

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

asyncio.run(main())

Fully ManagedVinkius Servers

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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 Worksection MCP Server

Connect your Worksection account to any AI agent to automate your project management and team productivity workflows. Worksection provides a comprehensive set of tools for managing tasks, tracking time, and monitoring real-time project activities through natural conversation.

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

What you can do

Project Lifecycle Management — List all projects, create new ones, and manage tasks across your entire organization programmatically.
Time Tracking & Timers — Monitor active timers for team members and stop time trackers directly from the AI interface.
Activity Monitoring — Retrieve a detailed event log of recent account activities to stay updated on project changes and completions.
Stakeholder Collaboration — Access task comments, project members, and attached files to maintain a clear overview of team collaboration.
Hierarchical Oversight — Navigate project folders and task sub-trees using simple natural language commands.

The Worksection 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 Worksection tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Worksection through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-management, time-tracking, project-collaboration, 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.

complete_task

Finish a task

create_task

Add new task

get_project_details

Get project info

get_task_details

Get full task info

list_active_timers

Check running timers

list_all_users

List company users

list_project_members

List team on project

list_project_tasks

List tasks in project

list_projects

List workspace projects

list_work_history

Get event log

reopen_task

Restore a task

stop_timer

Finish time tracking

Connect Worksection to OpenAI Agents SDK via MCP

Follow these steps to wire Worksection into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 12 tools from Worksection

Why Use OpenAI Agents SDK with the Worksection MCP Server

OpenAI Agents SDK provides unique advantages when paired with Worksection 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

Worksection + OpenAI Agents SDK Use Cases

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

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

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

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

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

Example Prompts for Worksection in OpenAI Agents SDK

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

"List all my active project folders in Worksection."

"Show me the last 10 events from my account activity log."

Troubleshooting Worksection MCP Server with OpenAI Agents SDK

Common issues when connecting Worksection 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.

Worksection + OpenAI Agents SDK FAQ

Common questions about integrating Worksection 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.

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.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.