HubSpot Marketing Hub MCP Server for LangChain 6 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect HubSpot Marketing Hub through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
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-marketing-hub": {
"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 Marketing Hub, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 Marketing Hub MCP Server
Connect HubSpot CRM to any AI agent — instant access to your full CRM data without switching tabs.
LangChain's ecosystem of 500+ components combines seamlessly with HubSpot Marketing Hub through native MCP adapters. Connect 6 tools via the 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
- Contacts — Search, create, and manage contacts
- Companies — Find companies by name or domain
- Deals — Search and create deals with pipeline tracking
- Tickets — Create and search support tickets
- Notes — Create notes attached to any CRM record
- Owners — View all owners and team assignments
- Pipelines — List deal and ticket pipeline stages
The HubSpot Marketing Hub MCP Server exposes 6 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.
How to Connect HubSpot Marketing Hub to LangChain via MCP
Follow these steps to integrate the HubSpot Marketing Hub MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 6 tools from HubSpot Marketing Hub via MCP
Why Use LangChain with the HubSpot Marketing Hub MCP Server
LangChain provides unique advantages when paired with HubSpot Marketing Hub through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine HubSpot Marketing Hub MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across HubSpot Marketing Hub queries for multi-turn workflows
HubSpot Marketing Hub + LangChain Use Cases
Practical scenarios where LangChain combined with the HubSpot Marketing Hub MCP Server delivers measurable value.
RAG with live data: combine HubSpot Marketing Hub tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query HubSpot Marketing Hub, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain HubSpot Marketing Hub tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every HubSpot Marketing Hub tool call, measure latency, and optimize your agent's performance
HubSpot Marketing Hub MCP Tools for LangChain (6)
These 6 tools become available when you connect HubSpot Marketing Hub to LangChain via MCP:
hs_form_submissions
Returns each submission with the field values the visitor entered, submission date, and page URL. Use when the user wants to review lead capture data, check who submitted a form, or analyze form conversion data. You need the form ID — use hs_list_forms to find it. Get individual form submissions for a specific HubSpot form, showing submitted field values and dates
hs_list_campaigns
Returns campaign name, type, current state, and associated dates. Campaigns group related marketing assets (emails, landing pages, ads) under a single initiative for unified tracking. Use when the user asks about marketing initiatives, campaign performance, or wants to review active campaigns. List marketing campaigns in HubSpot with name, type, status, and campaign dates
hs_list_contact_lists
Returns list name, type (STATIC for manual lists, DYNAMIC for smart lists with auto-updating criteria), and count of contacts in each list. Use when the user asks about audience segments, marketing lists, wants to know list sizes, or needs to understand audience targeting. List HubSpot contact lists (static and smart/dynamic) with name, type, and contact count
hs_list_forms
Returns form name, form type (regular/popup/embedded), number of fields, and submission count. Forms are the primary lead capture mechanism in HubSpot. Use when the user asks about lead generation forms, wants to audit form performance, or needs a form ID to check submissions. List HubSpot forms used for lead capture with name, type, field count, and submission volume
hs_list_landing_pages
Returns page title, publish status (draft/published), URL slug, and full public URL. Landing pages are standalone pages designed for conversion (form fills, downloads). Use when the user asks about landing pages, lead capture pages, or wants to review publishing status. List HubSpot landing pages with title, publish status, URL slug, and full page URL
hs_list_marketing_emails
Returns email name, subject line, type (regular/automated/blog), current state (draft/published/sent), and publish/send date. Use when the user asks about email campaigns, wants to see recent sends, or needs to check which emails are active. List marketing emails in HubSpot with name, subject line, send status, type, and publish date
Example Prompts for HubSpot Marketing Hub in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with HubSpot Marketing Hub immediately.
"Search for contacts at Acme Corp"
"Create a deal: Enterprise Package $50,000"
"Show me the deal pipeline stages"
Troubleshooting HubSpot Marketing Hub MCP Server with LangChain
Common issues when connecting HubSpot Marketing Hub to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersHubSpot Marketing Hub + LangChain FAQ
Common questions about integrating HubSpot Marketing Hub MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect HubSpot Marketing Hub with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect HubSpot Marketing Hub to LangChain
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.