How to Use the Motion (AI Calendar & Task Management) MCP in OpenAI Agents SDK

Q: How do I initialize the Motion (AI Calendar & Task Management) MCP Server in OpenAI Agents SDK?

Install the package using pip, then instantiate MCPServerStreamableHttp with your Vinkius endpoint URL. Pass this server object inside the mcpservers list when creating your Agent. Enabling cacheToolsList will speed up subsequent runtimes.

Q: Can my agent handle task re-prioritization automatically?

Yes, your agent can call updatetask to modify due dates or durations. The underlying scheduling engine immediately recalculates your day, which you can verify by calling getschedule.

Q: How does the Motion (AI Calendar & Task Management) MCP Server handle agent handoffs in OpenAI Agents SDK?

One agent can use listprojects to find the correct workspace and then hand off the context to a scheduling agent. The second agent then executes createtask to populate the calendar blocks.

Q: How do I debug failed scheduling actions in my OpenAI dashboard?

Every tool call, from gettask to deletetask, is traced natively in the dashboard. You can inspect the exact payload sent to the API to see why a specific block failed to schedule.

Let your OpenAI Agents SDK system build, schedule, and rebuild your daily calendar blocks automatically.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Motion (AI Calendar & Task Management) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Motion (AI Calendar & Task Management) 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.

GDPR Free for Subscribers

Setup Motion (AI Calendar & Task Management) with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Auto-schedule tasks with the OpenAI Agents SDK

The `create_task` tool lets your agent inject action items directly into your Motion queue. Once added, the platform automatically calculates optimal execution windows based on your real-time availability. You get immediate feedback on task placement without manual calendar shuffling. Your agent can then run `get_schedule` to verify the updated timeline before committing to the next step.

Multi-agent project routing and setup

Use `create_project` to establish new workspaces for different client accounts or internal tracks. An agent handling onboarding can spin up a project container and immediately populate it with scoped tasks. This prevents tasks from getting lost in a single massive backlog. If priorities shift mid-project, the agent triggers `move_task` to reallocate work across different team workspaces.

Safe schedule audits via MCP Server guardrails

This MCP Server exposes `list_tasks` and `get_task` to give your agent a clear view of current commitments. By using the SDK's built-in guardrails, you can intercept these calls to verify that the agent isn't reading sensitive personal schedules. If an agent attempts to call `delete_task` on a critical milestone, your guardrail halts the execution. You get full visibility of these decisions directly in your OpenAI dashboard.

Setup guide

Set up Motion (AI Calendar & Task Management) 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 Motion (AI Calendar & Task Management) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Motion (AI Calendar & Task Management) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Motion (AI Calendar & Task Management) 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="Motion (AI Calendar & Task Management) Agent",
            instructions="You have access to Motion (AI Calendar & Task Management) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 Motion. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Motion (AI Calendar & Task Management) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Motion (AI Calendar & Task Management) MCP in OpenAI Agents SDK

Install the package using pip, then instantiate `MCPServerStreamableHttp` with your Vinkius endpoint URL. Pass this server object inside the `mcp_servers` list when creating your Agent. Enabling `cacheToolsList` will speed up subsequent runtimes.

Yes, your agent can call `update_task` to modify due dates or durations. The underlying scheduling engine immediately recalculates your day, which you can verify by calling `get_schedule`.

One agent can use `list_projects` to find the correct workspace and then hand off the context to a scheduling agent. The second agent then executes `create_task` to populate the calendar blocks.

Every tool call, from `get_task` to `delete_task`, is traced natively in the dashboard. You can inspect the exact payload sent to the API to see why a specific block failed to schedule.

Vinkius runs this MCP Server in an isolated V8 sandbox, meaning your API tokens never touch the agent's raw prompt context. Task metadata and schedule details are transmitted over encrypted HTTPS directly to the API.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript