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

Q: How do I configure Motion (AI Calendar & Task Management) for CrewAI?

Run pip install crewai "crewaitools". You can pass the Vinkius endpoint directly into the mcps array on your Agent definition.

Q: Can I restrict which Motion (AI Calendar & Task Management) tools a specific CrewAI agent uses?

Yes. Use MCPServerHTTP from crewai.mcp and apply a toolfilter. You can give your researcher agent gettask while restricting createtask to the manager agent.

Q: How does a CrewAI team share data from Motion (AI Calendar & Task Management)?

CrewAI agents share memory natively. If Agent A calls listtasks, Agent B can read those results from the shared context to decide which items need updates.

Deploy autonomous agent crews to manage and audit your Motion schedule using CrewAI.

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

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

Ask AI about this MCP

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Perplexity

Assign Specialized Roles to the MCP Server

The `get_schedule` tool pulls the AI-optimized timeline for a specific workspace. You assign this tool exclusively to a Monitor Agent whose only job is to watch for calendar conflicts. When the Monitor detects an issue, it passes the context to an Execution Agent. That second agent calls `update_task` to modify configuration parameters and resolve the bottleneck autonomously.

Cross-Workspace Auditing

The `list_workspaces` tool returns every environment the authenticated user can access. A researcher agent maps the entire organizational structure before diving into specific projects. The agent then iterates through `list_projects` and `list_tasks` to build a complete map of current lifecycle statuses. It compiles this data into a daily briefing without you writing any pagination logic.

Autonomous Task Reallocation

The `move_task` tool shifts a specific item to a different workspace target. Your CrewAI moderator agent uses this to load-balance work when it notices one project falling behind. If a task becomes entirely irrelevant, the agent triggers `delete_task` to permanently destroy the associated calendar blocks. The crew cleans up the schedule while you sleep.

Setup guide

Set up Motion (AI Calendar & Task Management) 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 Motion (AI Calendar & Task Management) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Motion (AI Calendar & Task Management) 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 →

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="Motion (AI Calendar & Task Management) Analyst",
        goal="Access and analyze Motion (AI Calendar & Task Management) data via MCP.",
        backstory="Expert analyst with direct Motion (AI Calendar & Task Management) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Motion (AI Calendar & Task Management) 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 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 CrewAI

Run `pip install crewai "crewai[tools]"`. You can pass the Vinkius endpoint directly into the `mcps` array on your Agent definition.

Yes. Use `MCPServerHTTP` from `crewai.mcp` and apply a `tool_filter`. You can give your researcher agent `get_task` while restricting `create_task` to the manager agent.

CrewAI agents share memory natively. If Agent A calls `list_tasks`, Agent B can read those results from the shared context to decide which items need updates.

The MCP tools map perfectly to a hierarchical setup. A manager agent delegates `create_project` to a subordinate while maintaining oversight of the overall workspace timeline.

The tools process raw task IDs, calendar blocks, and workspace structures. Vinkius routes these requests through a hardened proxy layer that strips credentials and enforces stateless processing per request.

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