HubSpot Service Hub MCP Server for LangChain 6 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect HubSpot Service Hub through the 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 MCP SERVER
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-service-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 Service 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 Service 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 Service 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 Service 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 Service Hub to LangChain via MCP
Follow these steps to integrate the HubSpot Service 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 Service Hub via MCP
Why Use LangChain with the HubSpot Service Hub MCP Server
LangChain provides unique advantages when paired with HubSpot Service Hub through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine HubSpot Service 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 Service Hub queries for multi-turn workflows
HubSpot Service Hub + LangChain Use Cases
Practical scenarios where LangChain combined with the HubSpot Service Hub MCP Server delivers measurable value.
RAG with live data: combine HubSpot Service Hub tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query HubSpot Service Hub, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain HubSpot Service Hub tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every HubSpot Service Hub tool call, measure latency, and optimize your agent's performance
HubSpot Service Hub MCP Tools for LangChain (6)
These 6 tools become available when you connect HubSpot Service Hub to LangChain via MCP:
hs_create_ticket
Subject is required. Optionally provide content (detailed description), hs_pipeline (pipeline ID), hs_pipeline_stage (stage ID), and hs_ticket_priority (HIGH, MEDIUM, LOW). If no pipeline is specified, uses the default support pipeline. Returns the created ticket with its HubSpot ID. Create a new support ticket in HubSpot Service Hub with subject, description, pipeline stage, and priority
hs_list_feedback
Returns survey name, customer rating/score, survey type (NPS/CSAT/CES), and response content. Use when the user asks about customer satisfaction, NPS scores, or wants to review recent feedback from support interactions. List customer feedback survey submissions in HubSpot with ratings, survey type, and response content
hs_search_tickets
Returns ticket subject, current pipeline stage/status, priority (HIGH/MEDIUM/LOW), pipeline name, category, and creation date. Use when the user asks about open tickets, needs to find a specific support case, or wants to check the status of a customer issue. Search HubSpot Service Hub tickets by subject or keyword to find customer support cases
hs_ticket_pipelines
Returns pipeline name, stage labels, stage IDs (needed for creating/filtering tickets), and display order. Support pipelines define the workflow tickets follow: typically New → Waiting on Contact → Waiting on Us → Closed. Essential for finding stage IDs before ticket operations. List all ticket/support pipelines in HubSpot with their stages, display order, and internal IDs
hs_tickets_by_status
Returns tickets with subject, priority, and dates. Use when the user asks "how many tickets are open?", "what is waiting for response?", or for support queue analysis. Find stage IDs using hs_ticket_pipelines first. Get all HubSpot tickets at a specific pipeline stage to analyze queue depth, workload, or resolution bottlenecks
hs_update_ticket
Only specified fields are updated. Common use: advance hs_pipeline_stage when a case progresses, escalate hs_ticket_priority, or update the subject for clarity. Use when the user says a ticket moved stages, priority changed, or needs correction. Update an existing HubSpot ticket — change status, priority, subject, or reassign to reflect case progress
Example Prompts for HubSpot Service Hub in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with HubSpot Service Hub immediately.
"Search for contacts at Acme Corp"
"Create a deal: Enterprise Package $50,000"
"Show me the deal pipeline stages"
Troubleshooting HubSpot Service Hub MCP Server with LangChain
Common issues when connecting HubSpot Service Hub to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersHubSpot Service Hub + LangChain FAQ
Common questions about integrating HubSpot Service 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 Service 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 Service Hub to LangChain
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.