How to Use the HubSpot Lead Creator MCP in LangChain

Q: How do I add the HubSpot Lead Creator MCP Server to my LangChain agent?

Install the adapter package first. Use MultiServerMCPClient to connect to the Vinkius endpoint, pull the tool list with client.gettools(), and pass them directly into your agent constructor.

Pipe contact details from your LangChain chains directly into your CRM with this single-purpose write tool.

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 LangChain

Create your Vinkius account to connect HubSpot Lead Creator to LangChain 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 LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Add the HubSpot Lead Creator MCP Server to LangChain runs

Stop copying emails from your terminal. This tool registers `create_hubspot_lead` directly into your active run, letting your agent parse conversation transcripts and immediately write clean contact records. You get clean data without manual intervention. Your agent grabs the email, name, and company from the chat context, then formats it for the API call in one swift step.

Track tool execution with LangSmith

Debugging failing API calls is a pain. When your agent invokes `create_hubspot_lead`, LangSmith logs the exact payload, latency, and token cost so you can see why a lead failed to write. This visibility keeps your sales pipeline clean. You can trace every step of the decision chain to verify that the agent parsed the correct email and phone number before sending the payload.

Combine CRM updates with multi-step chains

This MCP tool fits right into your existing multi-step graphs. You can chain a database lookup with `create_hubspot_lead` to ensure you only write new contacts when they do not exist elsewhere. Because it uses standard schemas, you do not have to write custom glue code. The output of one step feeds right into the input of the next, keeping your automation simple and reliable.

Setup guide

Set up HubSpot Lead Creator MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes HubSpot Lead Creator tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "hubspot-lead-creator-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent HubSpot Lead Creator transactions"
    })
    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 LangChain

Install the adapter package first. Use `MultiServerMCPClient` to connect to the Vinkius endpoint, pull the tool list with `client.get_tools()`, and pass them directly into your agent constructor.

No, this tool focuses strictly on core fields. It requires an email address and accepts optional parameters like firstname, lastname, phone, and company name to keep database entries clean.

You should build a search step before calling the tool. Since `create_hubspot_lead` only writes data, your chain needs to check your database or use a separate search step to verify the email is new.

Yes. Your agent can run the tool inside an async event loop, allowing you to process multiple lead creation requests from chat queues without blocking other operations.

Your customer emails, names, phone numbers, and company names pass through an isolated V8 sandbox that wipes all data as soon as the API call finishes. Vinkius handles the authorization token securely, meaning your raw HubSpot API keys never touch the local MCP client.

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