HubSpot Service Hub MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect HubSpot Service Hub through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="HubSpot Service Hub Assistant",
instructions=(
"You help users interact with HubSpot Service Hub. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from HubSpot Service Hub"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 6 tools from HubSpot Service Hub through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries HubSpot Service Hub, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the HubSpot Service Hub MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 6 tools from HubSpot Service Hub
Why Use OpenAI Agents SDK with the HubSpot Service Hub MCP Server
OpenAI Agents SDK provides unique advantages when paired with HubSpot Service Hub through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
HubSpot Service Hub + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the HubSpot Service Hub MCP Server delivers measurable value.
Automated workflows: build agents that query HubSpot Service Hub, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries HubSpot Service Hub, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through HubSpot Service Hub tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query HubSpot Service Hub to resolve tickets, look up records, and update statuses without human intervention
HubSpot Service Hub MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect HubSpot Service Hub to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting HubSpot Service Hub to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
HubSpot Service Hub + OpenAI Agents SDK FAQ
Common questions about integrating HubSpot Service Hub MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.