How to Use the Wrike MCP in OpenAI Agents SDK
Automate Wrike workflows reliably with your OpenAI Agents SDK agent.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Wrike MCP to OpenAI Agents SDK
Create your Vinkius account to connect Wrike 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.
Discover Wrike organizational structure
Need to know where everything lives before you start working? You can list all major containers using `list_wrike_spaces` and get a breakdown of your team's file organization with `list_wrike_folders`. This lets the agent map out every project area in Wrike. It handles both top-level spaces and nested folders. The agent finds the correct ID for any project you need to target, giving you a clear view of the entire account structure.
Get detailed task status
When you need deep context on a single item, use `get_task_details`. This pulls every piece of information attached to one specific Wrike task. You won't miss anything—due dates, assignees, comments, everything. Want a list instead? The `list_wrike_tasks` tool lets you scope results by passing in a folder ID. It gives you bulk data that you can then feed into other parts of your production agent system.
Manage Wrike contacts and projects
The agent doesn't just track work; it tracks who's working on it. `list_wrike_contacts` pulls every user in the workspace, which is vital for routing tasks correctly. You can also list all active initiatives using `list_wrike_projects`. If you need to cross-reference people with specific projects, having these two lists available ensures your agent always has the right data points to work with.
Set up Wrike 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 Wrike tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Wrike tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Wrike 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="Wrike Agent",
instructions="You have access to Wrike 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 Wrike. 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 Wrike MCP in OpenAI Agents SDK
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