How to Use the Toggl Plan MCP in OpenAI Agents SDK

Q: How do I check the overall project status with Toggl Plan and OpenAI Agents SDK?

Your agent can call gettimelineview first. This gives you a full visual overview of what's happening between two dates, letting you quickly spot resource overlaps.

Q: What if I need to update a task after running Toggl Plan and OpenAI Agents SDK?

You use updatetimelinetask for that. It accepts a JSON object, so just pass the specific changes you want applied to an existing segment.

Q: Can I list all available team members using Toggl Plan and OpenAI Agents SDK?

Yep. Just run listworkspacemembers. It pulls a clean list of every person currently in the workspace, which is key for checking workload balance.

Q: Does this MCP Server handle deleting tasks with Toggl Plan and OpenAI Agents SDK?

Yes. The deletetimelinetask tool permanently removes a task segment. Be careful; that action's irreversible.

Manage project timelines in production code with your OpenAI Agents SDK.

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Connect Toggl Plan MCP to OpenAI Agents SDK

Create your Vinkius account to connect Toggl Plan 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 Toggl Plan with OpenAI Agents SDK

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Track Milestones via MCP Server

Use `create_milestone` to drop new markers onto the timeline. This lets you pinpoint major project phases directly within your agent's workflow. Otherwise, use `list_milestones` if you just need a list of all existing milestone dates.

View and Update Timeline Tasks

`get_timeline_view` pulls the full visual timeline for any date range. You can also pinpoint specifics using `get_task_details`. Need to change something? Call `update_timeline_task` with a JSON payload.

Manage Team Context

Your agent needs context about the team. Run `list_workspace_members` to grab all users, or use `list_workspace_projects` and `list_workspace_tags` to understand what everyone's focused on.

Setup guide

Set up Toggl Plan 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 Toggl Plan tools at runtime.
3

Create your Agent

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

Run the agent

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

Your agent can call `get_timeline_view` first. This gives you a full visual overview of what's happening between two dates, letting you quickly spot resource overlaps.

You use `update_timeline_task` for that. It accepts a JSON object, so just pass the specific changes you want applied to an existing segment.

Yep. Just run `list_workspace_members`. It pulls a clean list of every person currently in the workspace, which is key for checking workload balance.

Yes. The `delete_timeline_task` tool permanently removes a task segment. Be careful; that action's irreversible.

The server handles project metadata, including team member names (`list_workspace_members`), project IDs, and task start/end dates. It's all about work context.

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