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HubSpot MCP Server for LangChainGive LangChain instant access to 12 tools to Create Contact, Get Company Info, Get Contact Details, and more

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect HubSpot through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this App Connector for LangChain

The HubSpot app connector for LangChain is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "hubspot": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using HubSpot, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
HubSpot
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About HubSpot MCP Server

Connect your HubSpot account to any AI agent and manage your entire CRM through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with HubSpot through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Contact Management — List, create, search, and delete contacts with full property access
  • Company Records — Browse and inspect companies with metadata and associations
  • Deal Pipeline — List all deals with amounts, stages, and pipeline assignments, and inspect individual deal details
  • Smart Search — Search contacts using HubSpot filter syntax for targeted queries
  • Association Management — Link CRM objects together (Contact ↔ Company, Contact ↔ Deal, etc.)
  • Schema Discovery — List all available properties for any object type (contacts, companies, deals, tickets)
  • Pipeline Configuration — View all sales pipelines with stages and probabilities
  • Team Management — List all HubSpot users and record owners

The HubSpot MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 HubSpot tools available for LangChain

When LangChain connects to HubSpot through Vinkius, your AI agent gets direct access to every tool listed below — spanning contact-management, deal-pipelines, lead-nurturing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_contact

Add new contact

get_company_info

Get company details

get_contact_details

Get contact info

get_deal_details

Get deal info

get_object_schema

List fields

link_crm_objects

g. Contact to Company). Create association

list_companies

List CRM companies

list_contacts

List CRM contacts

list_deals

List sales deals

list_hubspot_users

List record owners

remove_contact

Delete contact

search_contacts

Find contacts

Connect HubSpot to LangChain via MCP

Follow these steps to wire HubSpot into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 12 tools from HubSpot via MCP

Why Use LangChain with the HubSpot MCP Server

LangChain provides unique advantages when paired with HubSpot through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine HubSpot MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across HubSpot queries for multi-turn workflows

HubSpot + LangChain Use Cases

Practical scenarios where LangChain combined with the HubSpot MCP Server delivers measurable value.

01

RAG with live data: combine HubSpot tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query HubSpot, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain HubSpot tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every HubSpot tool call, measure latency, and optimize your agent's performance

Example Prompts for HubSpot in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with HubSpot immediately.

01

"Show all deals in the pipeline and the contacts associated with the highest-value one."

02

"Search for all contacts with @enterprise.com emails and create a new contact for the CEO."

03

"Show the sales pipelines, all HubSpot users, and the property schema for deals."

Troubleshooting HubSpot MCP Server with LangChain

Common issues when connecting HubSpot to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

HubSpot + LangChain FAQ

Common questions about integrating HubSpot MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.