How to Use the Todoist MCP in AutoGen

Q: Can I create a task in Todoist using AutoGen?

Yes, the createtask tool lets it happen. The agent framework ensures that all required data—like project IDs or content—is ready before calling the function.

Q: What kind of data does this MCP Server touch regarding Todoist privacy?

This server touches task metadata, including task content, projectid, and specific comment records. It doesn't handle passwords or account credentials.

Q: How do I list projects in Todoist using AutoGen?

You use the listprojects tool. The agents can then pass that full list of active projects to subsequent tools for further analysis and discussion.

Q: Does Todoist support task listing in AutoGen?

Absolutely. The listtasks tool makes the current state of your tasks available, which agents use as foundational input for their deliberations.

Build decision systems around Todoist tasks with AutoGen using our MCP Server.

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Create your Vinkius account to connect Todoist to AutoGen 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 AutoGen

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Collaborative Task Creation via MCP Server

Need an item added? You use `create_task`. In a multi-agent setup, one agent might decide the content, and another uses this tool to ensure it's logged correctly in Todoist. This lets your team simulate consensus on action items before they ever hit the task list.

Debating Project Scope

Agents can debate what project a new task belongs to. One agent calls `list_projects` for options, and another challenges that selection by calling `list_sections` to check for better organizational fit. The system converges on the best place to put the item.

Gathering Task Details

A process agent might use `list_tasks` to pull a list, while a review agent uses `list_comments` to check for required feedback. The agents must agree on the gathered data before moving forward. It handles complex decision flows involving multiple types of task information.

Setup guide

Set up Todoist MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Todoist tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Todoist_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Todoist data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Todoist_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Todoist data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Todoist. 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 Todoist MCP in AutoGen

You let your agents run the sequence. One agent decides to use `list_tasks`, and another uses that list to check dependencies before creating a new entry.

Yes, the `create_task` tool lets it happen. The agent framework ensures that all required data—like project IDs or content—is ready before calling the function.

This server touches task metadata, including `task content`, `project_id`, and specific comment records. It doesn't handle passwords or account credentials.

You use the `list_projects` tool. The agents can then pass that full list of active projects to subsequent tools for further analysis and discussion.

Absolutely. The `list_tasks` tool makes the current state of your tasks available, which agents use as foundational input for their deliberations.

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