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Teambition MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

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="Teambition Assistant",
            instructions=(
                "You help users interact with Teambition. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
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About Teambition MCP Server

Empower your AI agent to orchestrate your team's productivity with Teambition, the leading collaboration platform under Alibaba Group. By connecting Teambition to your agent, you transform complex project tracking and task assignment into a natural conversation. Your agent can instantly list your projects, create new tasks, update statuses, and even browse organization members without you ever touching the web interface. Whether you are managing a software development sprint or a marketing campaign, your agent acts as a real-time project assistant, keeping your workspace organized and your team aligned.

The OpenAI Agents SDK auto-discovers all 10 tools from Teambition through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Teambition, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Project Management — List all accessible projects, get detailed info, and monitor overall progress.
  • Task Operations — Create, update, and track tasks with full support for descriptions, assignees, and due dates.
  • Workflow Visualization — Browse task groups and stages to understand your Kanban or list-based workflows.
  • Team Coordination — List project members and organization users to manage assignments effectively.
  • Organization Insights — Retrieve high-level information about your Teambition organization structure.

The Teambition MCP Server exposes 10 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 Teambition to OpenAI Agents SDK via MCP

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

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 10 tools from Teambition

Why Use OpenAI Agents SDK with the Teambition MCP Server

OpenAI Agents SDK provides unique advantages when paired with Teambition 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

Teambition + OpenAI Agents SDK Use Cases

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

01

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

02

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

03

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

04

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

Teambition MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Teambition to OpenAI Agents SDK via MCP:

01

create_task

Create a new Teambition task

02

get_org_info

Get organization details

03

get_project

Get Teambition project details

04

list_members

List project members

05

list_projects

List all Teambition projects

06

list_stages

List stages in a task group

07

list_task_groups

List task groups in a project

08

list_tasks

List tasks in a project

09

list_users

List organization users

10

update_task

Update an existing Teambition task

Example Prompts for Teambition in OpenAI Agents SDK

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

01

"List all my active projects on Teambition."

02

"Create a task in project 'Product Launch' titled 'Review landing page copy'."

03

"Show me the tasks for project 'Internal Audit'."

Troubleshooting Teambition MCP Server with OpenAI Agents SDK

Common issues when connecting Teambition 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.

Teambition + OpenAI Agents SDK FAQ

Common questions about integrating Teambition 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.

Connect Teambition to OpenAI Agents SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.