Teambition MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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 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.
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 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.
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
Teambition + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Teambition MCP Server delivers measurable value.
Automated workflows: build agents that query Teambition, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Teambition, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Teambition tools and transform it with OpenAI models in a single async loop
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:
create_task
Create a new Teambition task
get_org_info
Get organization details
get_project
Get Teambition project details
list_members
List project members
list_projects
List all Teambition projects
list_stages
List stages in a task group
list_task_groups
List task groups in a project
list_tasks
List tasks in a project
list_users
List organization users
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.
"List all my active projects on Teambition."
"Create a task in project 'Product Launch' titled 'Review landing page copy'."
"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.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Teambition + OpenAI Agents SDK FAQ
Common questions about integrating Teambition MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
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?
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?
Connect Teambition with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
