How to Use the Motion (AI Calendar & Task Management) MCP in AutoGen

Q: Can AutoGen agents modify my Motion (AI Calendar & Task Management) schedule?

Yes. You grant the agents access to tools like movetask and updatetask. They then use these to adjust your schedule based on the consensus they reach during their debate.

Q: Will my Motion (AI Calendar & Task Management) tasks be deleted by an AutoGen agent?

Only if you explicitly authorize the deletetask tool. You can restrict which agents have permission to remove tasks to ensure your data stays safe.

Debate your daily priorities with AutoGen agents using the Motion (AI Calendar & Task Management) MCP Server.

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Connect Motion (AI Calendar & Task Management) MCP to AutoGen

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

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Perplexity

Consensus-driven scheduling

Set up a team of agents to negotiate your calendar slots using `get_schedule`. One agent checks your capacity while another suggests task reordering, reaching a decision that fits your goals. It removes the subjectivity from your planning. The agents argue for the most efficient path based on the hard constraints you set in your tasks.

Automated task negotiation

Let agents use `update_task` to resolve conflicts between overlapping deadlines. They discuss which tasks take precedence and adjust the schedule accordingly. This prevents the common issue of overbooking. Your agents act as a buffer, ensuring your calendar reflects your actual ability to deliver work.

Project-wide task auditing

Task a specialized agent with `list_tasks` to review your workload. It identifies stale items or incomplete projects and proposes deletions or updates to the rest of the team. It keeps your workspace lean. By having an agent constantly auditing your tasks, you ensure that only relevant work occupies your time.

Setup guide

Set up Motion (AI Calendar & Task Management) 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 Motion (AI Calendar & Task Management) 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="Motion (AI Calendar & Task Management)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Motion (AI Calendar & Task Management) 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="Motion (AI Calendar & Task Management)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Motion (AI Calendar & Task Management) 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 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.

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Common questions about Motion (AI Calendar & Task Management) MCP in AutoGen

Yes. You grant the agents access to tools like `move_task` and `update_task`. They then use these to adjust your schedule based on the consensus they reach during their debate.

They communicate through the chat interface, proposing tool calls as part of their reasoning. Once they agree, the chosen agent executes the tool to update your workspace.

Only if you explicitly authorize the `delete_task` tool. You can restrict which agents have permission to remove tasks to ensure your data stays safe.

You define a lead agent or a user-proxy that has the final say. The debate phase allows you to see their reasoning before any tool is actually called.

Yes. The server requires an endpoint token for every request. Only agents within your configured group have access to your workspace information.

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