How to Use the HubSpot Operations Hub MCP in CrewAI

Q: How would a CrewAI team create a new HubSpot property safely?

You'd have one agent call hslistpropertygroups to get a valid group name. It would pass that name to a second agent, which then calls hscreateproperty. This separation of concerns ensures one agent is responsible for validation and another for execution, reducing errors.

Q: Can I build a crew with HubSpot Operations Hub and CrewAI to manage deal assignments?

Absolutely. An 'Analyst' agent could use hslistallpipelines to monitor new deals in a specific stage. A 'Dispatcher' agent could then use hslistowners to find an available owner and assign the deal. The MCP server provides all the necessary tools for the crew to function.

Deploy a crew of AI agents to manage your HubSpot Operations Hub. Automate audits, cleanup, and reporting, hands-free.

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Connect HubSpot Operations Hub MCP to CrewAI

Create your Vinkius account to connect HubSpot Operations Hub 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 HubSpot Operations Hub with CrewAI

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Deploy an Autonomous CRM Auditing Crew

Assign an 'Auditor' agent to your crew. Its job is to run `hs_list_properties` and `hs_list_property_groups` to create a complete map of your current data structure. The agent doesn't just get the data; it understands its purpose is to find inconsistencies. It then passes its findings—like duplicate or poorly named fields—to a 'Janitor' agent. This second agent can then flag the properties for human review. Your crew works together to keep the CRM clean, all running in the background.

Create a Pipeline & Ownership Monitoring Team

Set up a 'Pipeline Watcher' agent that periodically runs `hs_list_all_pipelines`. If a sales process stage is added or removed, it alerts a 'Manager' agent. This ensures your documented processes always match what's actually in HubSpot. Another specialist agent, the 'Ownership Steward', can use `hs_list_owners` to find inactive users who still own deals. It then passes a list to another agent to handle reassignments. CrewAI lets them collaborate to maintain data integrity without your input.

Run Automated Workflow Checks with This MCP Server

Dedicate an agent in your crew to be the 'Workflow Monitor'. Its only job is to execute `hs_list_workflows` on a schedule. It checks the active status and action count of every automation in your HubSpot account. If a critical lead nurturing workflow is found to be inactive, the agent can immediately pass that information to an 'Incident Responder' agent. That agent's job is to notify the marketing operations team. This creates a fully autonomous monitoring and response system.

Setup guide

Set up HubSpot Operations Hub 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 HubSpot Operations Hub tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Yes, that's a perfect use case for CrewAI. You create a 'Scout' agent that calls `hs_list_workflows`. It then passes the list of active workflows to a 'Worker' agent in the same crew, which uses that data to decide its next action. This is how you build collaborative, multi-step automations.

You'd have one agent call `hs_list_property_groups` to get a valid group name. It would pass that name to a second agent, which then calls `hs_create_property`. This separation of concerns ensures one agent is responsible for validation and another for execution, reducing errors.

Absolutely. An 'Analyst' agent could use `hs_list_all_pipelines` to monitor new deals in a specific stage. A 'Dispatcher' agent could then use `hs_list_owners` to find an available owner and assign the deal. The MCP server provides all the necessary tools for the crew to function.

It gives your agent a complete breakdown of a HubSpot object's fields. This includes the internal name needed for API calls, the display label, the data type like 'string' or 'number', and the group it belongs to. It's the raw data an auditor agent needs to analyze your CRM structure.

The MCP server is stateless and does not store your HubSpot data. It only returns data like property names or pipeline stages to the specific agent that requests it. That agent can then share the data with other agents in its crew as part of its defined task, but the server itself retains nothing.

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