How to Use the Todoist MCP in OpenAI Agents SDK

Q: Can I use Todoist to create a new project using OpenAI Agents SDK?

No. While the MCP Server lets you list existing projects (listprojects) and sections, it only provides the createtask tool for adding content.

Q: Does the MCP Server support listing tasks by project in Todoist when using OpenAI Agents SDK?

Yes. You use listtasks, passing a specific project ID to filter the results, so you only see relevant items right away.

Q: What if I need to list all available labels for Todoist with the OpenAI Agents SDK?

You call the listlabels tool. It pulls every user-defined label into a simple, readable list that your agent can then process.

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Connect Todoist MCP to OpenAI Agents SDK

Create your Vinkius account to connect Todoist 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 Todoist with OpenAI Agents SDK

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Manage Tasks with the MCP Server

You can create new items directly in your To-Do list using `create_task`, giving it content and an optional project ID. You also mark things as done; just call `complete_task` to check off a task. It's easy to see what's going on when you run the agent. It lets you pull all active tasks via `list_tasks`, and you can even narrow that list down by filtering with a specific project ID.

Audit Projects and Labels

Need to see your structure? The MCP Server gives you access to `list_projects` so you know what's active. You also get `list_sections`, letting you drill down into a project's internal groupings. Don't forget labels. Use `list_labels` to pull every user-defined tag, and if you need context on any single item, `list_comments` pulls all the discussion history for that specific task.

Check Todoist Status in Production Python SDK

The agent handles listing everything. Use `list_tasks` to pull a full inventory of active tasks, filtering by project ID if needed. This is how you confirm what needs attention. When you're building production systems, this MCP Server gives your AI client the tools it needs to manage Todoist structure and content reliably.

Setup guide

Set up Todoist 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 Todoist tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Todoist tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Todoist 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="Todoist Agent",
            instructions="You have access to Todoist 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 Todoist MCP in OpenAI Agents SDK

The agent finds all available tools automatically. You pass the MCP Server into the Agent constructor, and it handles the rest of the connection setup.

This server touches Project IDs, Task contents, Labels, and Comments associated with those tasks. The agent reads these structured data points directly.

No. While the MCP Server lets you list existing projects (`list_projects`) and sections, it only provides the `create_task` tool for adding content.

Yes. You use `list_tasks`, passing a specific project ID to filter the results, so you only see relevant items right away.

You call the `list_labels` tool. It pulls every user-defined label into a simple, readable list that your agent can then process.

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OpenAI Agents SDK sdk-python