How to Use the Toggl Plan MCP in CrewAI

Q: How do I list projects using Toggl Plan with CrewAI?

You call listworkspaceprojects, and it provides every project contained within the specific workspace. This is a great starting point before any agent starts its work.

Q: Can my autonomous crew use Toggl Plan with CrewAI to manage tasks?

Yes, your specialized agents can run createtimelinetask and updatetimelinetask. They'll take the required IDs (workspace, project) and modify the timeline accordingly.

Q: How do I check user access when using Toggl Plan with CrewAI?

The agent runs listworkspaceusers to list everyone who has permission for the workspace. This ensures that any action taken by the crew respects necessary permissions.

Automate complex project management operations with CrewAI.

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Setup Toggl Plan with CrewAI

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Visualize Tasks in the Project Plan MCP Server

The agent pulls all tasks for a given workspace using `list_timeline_tasks`, which requires that workspace ID. It also lets you see every project available within that space by calling `list_workspace_projects`. You'll get a full picture of the scope.

Manage Project Metadata via MCP Server

CrewAI can pull core information using `get_project_details` for any project. It also lists all major milestones through `list_milestones`, which is useful for checking phase progress. You'll always want to know the current tasks, too.

Build and Modify Timelines with CrewAI

Need to start a new work item? Use `create_timeline_task` by providing the workspace ID, task name, and project ID. If you need changes later, just run `update_timeline_task`. Remember that deleting tasks requires the `delete_timeline_task` tool.

Setup guide

Set up Toggl Plan 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 Toggl Plan tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Toggl Plan 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="Toggl Plan Analyst",
        goal="Access and analyze Toggl Plan data via MCP.",
        backstory="Expert analyst with direct Toggl Plan access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Toggl Plan 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 Toggl Plan. 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 Toggl Plan MCP in CrewAI

You call `list_workspace_projects`, and it provides every project contained within the specific workspace. This is a great starting point before any agent starts its work.

Yes, your specialized agents can run `create_timeline_task` and `update_timeline_task`. They'll take the required IDs (workspace, project) and modify the timeline accordingly.

CrewAI can get specific data points like task details using `get_task_details`, or pull general info about a whole project via `get_project_details`. It's very granular.

The agent runs `list_workspace_users` to list everyone who has permission for the workspace. This ensures that any action taken by the crew respects necessary permissions.

The server handles structured task objects (for updates), user lists (`list_workspace_users`), and core workspace metadata, including project IDs and the overall workspace ID.

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