How to Use the HubSpot CRM MCP in AutoGen

Q: How do I search for a contact in HubSpot CRM using AutoGen?

Give your AssistantAgent the hssearchcontacts tool. The agent executes the search and shares the result with other agents in your conversation loop.

Q: How do HubSpot CRM associations help AutoGen agent debates?

Agents use hsgetassociations to gather full context. By understanding which contacts belong to which company, they make more informed decisions during their debate.

Q: Does this work for HubSpot CRM record creation?

It does. You can use hscreatecontact or hscreatecompany. Your agents verify the required fields first, then finalize the record in your database.

Debate and execute CRM tasks in AutoGen with multi-agent HubSpot CRM coordination.

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Connect HubSpot CRM MCP to AutoGen

Create your Vinkius account to connect HubSpot CRM 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.

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Setup HubSpot CRM with AutoGen

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Coordinate agents for CRM data entry

Assign one agent to draft notes and another to verify them against HubSpot CRM records. Using `hs_create_note`, your agents debate the content before committing it to the timeline. This prevents low-quality data entry. By requiring consensus, your agents ensure that every note added to your CRM is accurate and contextually relevant.

Automate task assignment across teams

Use `hs_create_task` to assign follow-ups based on agent deliberation. One agent monitors contact lifecycle stages, while another decides when to create a task in HubSpot CRM. This removes the need for manual scheduling. Your agents negotiate the priority and due date, then push the final task directly to the relevant owner.

Search and verify contact information

Deploy an agent to use `hs_search_contacts` and `hs_get_contact` when gathering intelligence. The agent checks the data against your requirements and confirms findings with the team. This ensures your agents always work with verified information. You avoid the risks of using outdated contact details by forcing a fresh search before any CRM update.

Setup guide

Set up HubSpot CRM 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 includes mcp_server_tools for 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 AssistantAgent and call agent.run(). The agent invokes HubSpot CRM tools and returns structured results.

agent.py

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 CRM_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent HubSpot CRM data")
print(result.messages[-1].content)

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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. McpWorkbench is 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=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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 CRM_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent HubSpot CRM data")
    print(result.messages[-1].content)

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 CRM MCP in AutoGen

Give your AssistantAgent the `hs_search_contacts` tool. The agent executes the search and shares the result with other agents in your conversation loop.

Yes. Once your agents reach a consensus, the designated agent calls `hs_update_company`. The update is applied to your CRM record immediately.

Agents use `hs_get_associations` to gather full context. By understanding which contacts belong to which company, they make more informed decisions during their debate.

Your CRM data is kept secure in the V8 isolate sandbox. Only your authenticated agents access the data, and all activity is restricted to your endpoint.

It does. You can use `hs_create_contact` or `hs_create_company`. Your agents verify the required fields first, then finalize the record in your database.

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