How to Use the Todoist MCP in CrewAI

Q: Can I use CrewAI to list all projects for Todoist?

Yes, the listprojects tool lets a monitoring agent pull every project name. This provides the necessary context map before any action is taken.

Q: If I need to modify tasks with CrewAI, what tools are available?

You can use updatetaskdetails and reopentask. An agent specialized in maintenance handles these changes based on the project's needs.

Q: Does Todoist integrate well with CrewAI for tracking labels?

The listalllabels tool gives your agents full visibility into all available tags. This lets a specialized classification agent sort and group tasks automatically.

Run autonomous Todoist operations with CrewAI's multi-agent teams.

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Connect Todoist MCP to CrewAI

Create your Vinkius account to connect Todoist to CrewAI 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 CrewAI

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Autonomous Task Management with MCP Server

The `complete_task` tool marks a task as finished. For CrewAI, this means you can assign an Action Agent whose sole job is to monitor tasks and automatically call this function when criteria are met. A second agent can then use `list_active_tasks` to verify the change, creating a seamless, automated project completion cycle.

Multi-Agent Project Monitoring

To monitor progress, one Agent researches using `list_comments` while another checks `get_task_details`. This simulates two specialized roles working together on a single item. The CrewAI framework handles this collaboration by sharing memory. The researcher's findings immediately inform the action agent's next step.

End-to-End Project Setup

You can build an entire operation flow: Agent A calls `create_project`, Agent B uses `create_task` within that project, and Agent C then monitors the result using `list_project_sections`. This sequential or hierarchical execution means you don't need a human to prompt each step; the crew manages itself.

Setup guide

Set up Todoist MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Todoist tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Todoist Analyst",
    goal="Access and analyze Todoist data via MCP.",
    backstory="Expert analyst with direct Todoist access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Todoist transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Todoist Analyst",
        goal="Access and analyze Todoist data via MCP.",
        backstory="Expert analyst with direct Todoist access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Todoist transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 CrewAI

CrewAI treats the MCP Server tools as specialized functions for its agents. Instead of one agent doing everything, you give roles: Agent A handles creation, Agent B handles listing.

Yes, the `list_projects` tool lets a monitoring agent pull every project name. This provides the necessary context map before any action is taken.

You can use `update_task_details` and `reopen_task`. An agent specialized in maintenance handles these changes based on the project's needs.

The `list_all_labels` tool gives your agents full visibility into all available tags. This lets a specialized classification agent sort and group tasks automatically.

It touches Task status, Project structure (sections/metadata), and labeling data.

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