How to Use the Hub Planner MCP in CrewAI

Deploy autonomous operational crews using CrewAI and Hub Planner to manage your staff and project timelines.

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Connect Hub Planner MCP to CrewAI

Create your Vinkius account to connect Hub Planner 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 Hub Planner with CrewAI

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Perplexity

Collaborative Scheduling with CrewAI

Assign an agent to monitor `list_bookings` while another agent updates project timelines via `list_projects`. Your crew works together to keep schedules tight. This creates an autonomous loop for your operations. One agent spots the conflict, the other resolves it.

Specialized Agent Roles for Hub Planner

Give your research agent access to `list_tags` to categorize resource needs. Let your action agent use `list_resources` to assign the right people. It separates the planning from the execution. Each agent does exactly what it was designed for.

Autonomous Monitoring for Projects

Set up a monitor agent to check `list_events` for time-off requests. It updates the crew so they can adjust project plans without you. It prevents scheduling surprises before they happen. Your agents stay ahead of the calendar.

Setup guide

Set up Hub Planner 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 Hub Planner tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Hub Planner 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="Hub Planner Analyst",
        goal="Access and analyze Hub Planner data via MCP.",
        backstory="Expert analyst with direct Hub Planner access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Hub Planner 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 Hub Planner. 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 Hub Planner MCP in CrewAI

Pass the MCP server URL directly into your agent definition. CrewAI will automatically import the tools for your crew.

Yes. The framework uses shared memory to pass booking updates between agents. They stay synced on project status.

It works natively. You just declare the MCP server in your agent configuration and start assigning tasks.

Use the tool filter to restrict which agents can access booking or project data. You maintain full control over the actions taken.

All communication occurs over an encrypted channel. We only access your booking categories and resource lists, keeping your private data contained.

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