How to Use the HubSpot Lead Creator MCP in AutoGen

Let your AutoGen agents debate and coordinate before writing clean contact records to your HubSpot CRM.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect HubSpot Lead Creator MCP to AutoGen

Create your Vinkius account to connect HubSpot Lead Creator 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.

GDPR Free for Subscribers

Setup HubSpot Lead Creator with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Add the HubSpot Lead Creator MCP Server to AutoGen

Avoid messy data entry by letting your agents debate the lead's validity. A validation agent can check the chat transcript for a valid email, while a separate writer agent calls `create_hubspot_lead` once they reach a consensus. This multi-agent setup reduces duplicate records. The agents verify that the payload contains proper names and phone numbers before committing the write operation to your HubSpot account.

Isolate CRM write actions to a specialized agent

You do not want every agent in your group chat to have write access to your CRM. By assigning `create_hubspot_lead` exclusively to a dedicated sales execution agent, you control exactly when and how data is written. Other agents in the conversation must pass their parsed customer data to this specific execution agent. This isolation keeps your API interactions predictable and easy to monitor.

Handle API errors during agent conversations

If the MCP Server returns an error because of a missing email, your agents can resolve the issue themselves. They can discuss what information is missing and ask the user to clarify before trying again. This self-correcting behavior keeps your pipeline moving. The agent handles the validation failure gracefully, ensuring that only complete records are sent to your CRM.

Setup guide

Set up HubSpot Lead Creator 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 Lead Creator 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 Lead Creator_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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

    result = await agent.run("List recent HubSpot Lead Creator 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 CRM. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect HubSpot Lead Creator now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about HubSpot Lead Creator MCP in AutoGen

Install the AutoGen MCP extension. Use the server tools adapter with your Vinkius HTTP endpoint to fetch the tool list, then pass the `create_hubspot_lead` tool to your designated writer agent.

Yes, but it is best to assign it to one agent. Having multiple agents trigger `create_hubspot_lead` simultaneously can lead to duplicate contacts and API rate limit issues.

The tool will reject the payload if the email is missing. Your validation agent can catch this error, read the feedback, and prompt the user to provide the correct contact details.

Yes, the adapter handles both stdio and HTTP transports. For hosted deployments, using the Vinkius HTTP endpoint keeps your architecture clean and secure.

The connection uses end-to-end encryption to transmit emails, names, phone numbers, and company names directly to your HubSpot instance. No data is cached on disk, and the execution environment is destroyed immediately after the API call completes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript