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

Q: How do I connect the Motion (AI Calendar & Task Management) MCP Server using Google ADK?

Install the ADK library and initialize McpToolset with your Vinkius HTTP endpoint. Pass this toolset into your LlmAgent configuration to let Gemini discover the calendar tools.

Q: Can Gemini use this MCP Server to manage multiple client calendars?

Yes, by calling listworkspaces to identify the correct client partition. Once the correct workspace ID is found, the agent uses updatetask to adjust individual schedules.

Q: How does Google ADK handle long-context reasoning with Motion (AI Calendar & Task Management)?

Gemini can ingest your entire task history from listtasks alongside external project specs. It then reasons across thousands of lines of context before calling createtask to schedule the next sprint.

Q: Can I restrict which MCP Server tools the Gemini agent can access?

Yes, you can pass a list of specific tool names to your McpToolset instance. This prevents the agent from calling destructive tools like deletetask while still allowing read actions.

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Connect Motion (AI Calendar & Task Management) MCP to Google ADK

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

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Feed BigQuery data directly into your MCP Server schedule

The `create_task` tool acts as the bridge between your enterprise data pipelines and your actual workday. Your Gemini agent can analyze raw tables in BigQuery, identify overdue client deliverables, and immediately schedule recovery tasks. By combining long-context reasoning with `get_schedule`, the agent reviews months of upcoming blocks in one go. It spots conflicts that shorter-context models miss entirely.

Enterprise project grouping with Google ADK

Use `create_project` to structure your Google Cloud deployment tasks directly within your calendar workspace. The agent can monitor Vertex AI pipelines and spin up a dedicated workspace block when a model training job finishes. This removes the manual step of tracking infrastructure milestones. Your agent calls `list_projects` to ensure no duplicate tracking folders are created.

Clean up stale tasks using Gemini reasoning

The `list_tasks` tool pulls all active items so your agent can audit them against real-world progress. If an enterprise project gets cancelled in your database, the agent calls `delete_task` to free up blocked time instantly. You avoid calendar bloat by letting the agent systematically prune dead weight. If a task just needs a new home, the agent uses `move_task` instead.

Setup guide

Set up Motion (AI Calendar & Task Management) MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Motion (AI Calendar & Task Management) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Motion (AI Calendar & Task Management)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Motion (AI Calendar & Task Management) tools via MCP.",
    tools=mcp_tools,
)

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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 Google ADK

Install the ADK library and initialize `McpToolset` with your Vinkius HTTP endpoint. Pass this toolset into your `LlmAgent` configuration to let Gemini discover the calendar tools.

Yes, by calling `list_workspaces` to identify the correct client partition. Once the correct workspace ID is found, the agent uses `update_task` to adjust individual schedules.

Gemini can ingest your entire task history from `list_tasks` alongside external project specs. It then reasons across thousands of lines of context before calling `create_task` to schedule the next sprint.

Yes, you can pass a list of specific tool names to your `McpToolset` instance. This prevents the agent from calling destructive tools like `delete_task` while still allowing read actions.

Your authentication tokens are hosted inside the Vinkius zero-trust vault, completely separate from Google Cloud. The actual task descriptions and timeline data are processed in ephemeral sandboxes that destroy themselves after execution.

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