How to Use the Wrike MCP in OpenAI Agents SDK

Q: What kind of data can I access with Wrike and the OpenAI Agents SDK?

You're talking about project structure, user profiles (getuserprofile), task status (Active, Completed), and attached files. The server exposes everything from listtasks to detailed file listings via listtaskattachments.

Build production agents that manage Wrike tasks and projects using the OpenAI Agents SDK.

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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.

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Setup Wrike with OpenAI Agents SDK

Ask AI about this MCP

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Claude

Perplexity

Manage Projects and Folders

You can map out an entire project hierarchy by listing all folders and projects with `list_folders_and_projects`. Need to add a new section? Use `create_folder` to build it right in the system. It's fast, giving you instant visibility into where everything lives.

Update Task Statuses

When a task changes hands or moves past review, don't manually touch it. The agent can use `update_task` to modify the necessary fields automatically. You get immediate confirmation that the change stuck in Wrike.

Gather Task Details

Need all the dirt on a specific job? Get every piece of information with `get_task_details`. This single tool pulls everything—attachments, comments, and status—into one place for your AI client to process. It’s efficient.

Setup guide

Set up Wrike MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with 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.

agent.py

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())

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Common questions about Wrike MCP in OpenAI Agents SDK

The MCP Server lets your agents talk directly to Wrike's API endpoints. This means your AI client doesn't need complex setup; it just invokes tools like `add_task_comment` or `create_task`. It’s built for action, not just reading data.

You're talking about project structure, user profiles (`get_user_profile`), task status (Active, Completed), and attached files. The server exposes everything from `list_tasks` to detailed file listings via `list_task_attachments`.

Absolutely. You can create multi-step processes, like listing tasks with `list_tasks`, then getting comments (`list_task_comments`), and finally updating them all in one go using `update_task`. The agent handles the flow.

Yes. Since this is a dedicated MCP Server, your actions are contained. The server uses standard OAuth token authentication, ensuring that only authorized calls—like `add_task_comment`—are executed.

The primary data touched is task metadata and user profiles. When your agent uses tools like `get_user_profile`, it handles standard user identity information, which you must manage according to Wrike's policies.

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