How to Use the HubSpot Marketing Hub MCP in CrewAI
Deploy autonomous marketing teams. Connect CrewAI to HubSpot Marketing Hub and let specialized agents monitor campaigns and lead data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect HubSpot Marketing Hub MCP to CrewAI
Create your Vinkius account to connect HubSpot Marketing 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.
Assign HubSpot read access to CrewAI agents
You don't need to give every agent in your crew full access to your marketing data. This MCP Server lets you hand specific HubSpot read capabilities to the exact agent that needs them. You can build a researcher agent equipped with `hs_list_campaigns` and `hs_list_landing_pages`. It gathers the active campaign dates and page publish statuses, then passes that context to an analyst agent for review.
Monitor email performance autonomously
Stop manually checking your outbox stats every morning. You can set up a scheduled CrewAI team to audit your email operations without human intervention. A monitoring agent runs `hs_list_marketing_emails` to check the current state of all scheduled sends. If it spots a draft that should be published, it alerts a moderator agent to take action.
Analyze lead quality across forms
Processing form submissions manually wastes hours of your week. A multi-agent setup can pull, read, and categorize incoming leads automatically. One agent uses `hs_list_forms` to identify high-traffic forms and passes the IDs to a data-gatherer agent. That second agent calls `hs_form_submissions` to extract the visitor field values and evaluate lead quality based on your custom criteria.
Set up HubSpot Marketing Hub MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke HubSpot Marketing Hub tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="HubSpot Marketing Hub Analyst",
goal="Access and analyze HubSpot Marketing Hub data via MCP.",
backstory="Expert analyst with direct HubSpot Marketing Hub access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent HubSpot Marketing Hub transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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 Marketing Hub Analyst",
goal="Access and analyze HubSpot Marketing Hub data via MCP.",
backstory="Expert analyst with direct HubSpot Marketing Hub access.",
tools=mcp_tools,
)
task = Task(
description="List recent HubSpot Marketing Hub transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) 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 Marketing Hub MCP in CrewAI
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