How to Use the Worktile MCP in OpenAI Agents SDK
Build Production Agents: Manage Worktile tasks and teams using OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Worktile MCP to OpenAI Agents SDK
Create your Vinkius account to connect Worktile 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.
Manage Tasks with the MCP Server
The `create_task` tool lets your agent open a new task in Worktile. You can also get a full overview of what's happening using `list_tasks`, which grabs all tasks within a specified project. Need to change something? The `update_task` function handles modifications to existing tickets. This gives your production agent the full lifecycle control it needs, whether setting status via `list_task_states` or adjusting details.
Team Communication using OpenAI Agents SDK
Your agent can list all available communication channels with `list_channels`. It'll also pull member lists across the organization using `list_members`. Want to get a message out? The `send_message` tool delivers messages directly into any channel. This makes your system act like an active team member, not just a data query engine.
Project Oversight with MCP Server
`list_projects` gives the agent access to every agile project Worktile manages. If you need more detail on one specific job site, `get_project` pulls all necessary details. It's also possible to grab team context by calling `get_team_info`, ensuring that any action your deployed product takes is scoped correctly to the right group.
Set up Worktile 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 Worktile tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Worktile tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Worktile 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="Worktile Agent",
instructions="You have access to Worktile 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 Worktile. 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.
Why Choose Vinkius
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Real-time monitoring
Live
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Worktile MCP in OpenAI Agents SDK
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