How to Use the Wing Assistant MCP in OpenAI Agents SDK
Manage workflows by delegating tasks to virtual assistants using the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Wing Assistant MCP to OpenAI Agents SDK
Create your Vinkius account to connect Wing Assistant 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.
Create and modify unit of work
The `create_task` tool lets your agent spin up a new, defined piece of work. You just pass a title and description, and the assistant gets it in its queue. Need to change something? Use `update_task`. This function modifies an existing task's details without having to create a whole new record.
Monitor status across all units
Check progress with `get_task_status` or get a full list of assignments using `list_tasks`. This gives you real-time visibility into what's actually happening. You can also see exactly which assistants are active by calling `list_assistants`, keeping tabs on your virtual team.
Handle assistant discovery
The `get_assistant` tool retrieves all the specific details for a single named virtual helper. It pulls up their full profile and current status. If you're building out your system, `list_assistants` is what you need to see every available helper at once.
Set up Wing Assistant MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Wing Assistant tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Wing Assistant tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Wing Assistant tools and returns structured results. Copy the full example on the right to get started.
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="Wing Assistant Agent",
instructions="You have access to Wing Assistant tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wing Assistant. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Wing Assistant MCP in OpenAI Agents SDK
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