How to Use the HubSpot Analytics MCP in AutoGen
Set up teams of AutoGen agents to debate your HubSpot Analytics data. Find the best strategy through conversation, not just code.
Works with every AI agent you already use
…and any MCP-compatible client
Connect HubSpot Analytics MCP to AutoGen
Create your Vinkius account to connect HubSpot Analytics to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Let Your Agents Debate Marketing Strategy
Stop making decisions in a silo. With AutoGen, you can create a team of agents that analyze a problem from different angles. For example, a 'Growth' agent can use `hs_web_analytics` to argue for investing in top-of-funnel traffic. A 'Sales' agent can counter that argument, using data from `hs_email_analytics` to show that email leads have a higher conversion rate. They debate, challenge each other's assumptions, and present a final, consensus-based recommendation to you.
Automate Data Audits with Specialist Agents
Assign roles and let your agents get to work. You can have a 'Compliance' agent whose only job is to run `hs_list_reports` and make sure all required monthly reports are present. It can work alongside a 'QA' agent that uses `hs_analytics_views` to spot-check data consistency. When one agent finds a problem, it reports it to the others. This creates a system where agents collaborate to find and flag issues in your HubSpot data without you manually checking every dashboard. This MCP server gives them the tools they need to do the job.
Run Campaign Post-Mortems with an Agent Crew
Get a multi-faceted view of campaign performance. After a campaign ends, a 'Performance' agent can pull the numbers using `hs_email_analytics`. At the same time, a 'Customer Experience' agent can use `hs_list_events` to check the activity timelines for a sample of contacts who received the email. They don't just present data; they discuss it. The 'Performance' agent might report a high open rate, but the 'CX' agent might find that few of those contacts took any further action. This conversation leads to much better insights than looking at a single metric.
Set up HubSpot Analytics MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes HubSpot Analytics tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="HubSpot Analytics_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent HubSpot Analytics data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="HubSpot Analytics_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent HubSpot Analytics data")
print(result.messages[-1].content) 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 AutoGen
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