How to Use the HubSpot Analytics MCP in CrewAI

Q: Can CrewAI agents share HubSpot Analytics data?

Yes. Shared memory allows agents to pass findings from hslistreports to other crew members, ensuring everyone acts on the same account configuration.

Q: How do I filter HubSpot Analytics tools in CrewAI?

Use the toolfilter property in your MCP server definition. This lets you restrict specific agents to only the tools they need, like limiting an agent to hswebanalytics.

Orchestrate specialized teams of agents for HubSpot Analytics monitoring and response with CrewAI.

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Connect HubSpot Analytics MCP to CrewAI

Create your Vinkius account to connect HubSpot Analytics 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 Analytics with CrewAI

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Collaborative HubSpot Analytics research in CrewAI

Assign one agent to `hs_web_analytics` and another to `hs_analytics_views`. They share memory to correlate traffic trends with your specific reporting scopes. This team-based approach uncovers insights a single agent would miss. They cross-reference source data to give you a complete picture of your funnel performance.

Autonomous email auditing with CrewAI

Task a monitor agent with `hs_email_analytics` to watch for bounce spikes. If detected, a moderator agent takes action to pause the campaign. This removes the need for manual oversight. Your crew collaborates to keep your sender reputation healthy while you focus on high-level strategy.

CRM event monitoring via CrewAI

Use `hs_list_events` to empower your crew to track deal progression. Agents identify stalled opportunities and suggest follow-up actions based on recent activity. It turns raw log data into actionable intelligence. The agents work sequentially to ensure every deal gets the attention it needs to close.

Setup guide

Set up HubSpot Analytics 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 Analytics tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent HubSpot Analytics 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 Analytics MCP in CrewAI

Pass the server URL directly into your agent's MCP configuration list. This grants your crew immediate access to all five analytics tools for their research tasks.

Yes. Shared memory allows agents to pass findings from `hs_list_reports` to other crew members, ensuring everyone acts on the same account configuration.

We maintain zero-trust isolation. Your contact information and email performance metrics are processed only within the ephemeral sandbox assigned to your crew.

Use the tool_filter property in your MCP server definition. This lets you restrict specific agents to only the tools they need, like limiting an agent to `hs_web_analytics`.

The framework manages execution flow. If a tool call fails, your agents can be programmed to retry or escalate the issue to a human supervisor.

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