How to Use the HubSpot Service Hub MCP in AutoGen
Deploy AutoGen multi-agent teams to debate, route, and resolve HubSpot Service Hub tickets.
Works with every AI agent you already use
…and any MCP-compatible client
Connect HubSpot Service Hub MCP to AutoGen
Create your Vinkius account to connect HubSpot Service Hub to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Let AutoGen agents debate ticket priorities
The `hs_create_ticket` tool allows your AutoGen agent team to generate new support cases with specific priorities and pipeline stages. Before creating a ticket, a triage agent and a customer success agent can debate the urgency based on the customer's history. Once the agents agree on whether the issue is high or low priority, they call the tool to log the ticket. This consensus-driven approach prevents false escalations and keeps your support queue organized without manual oversight.
Resolve bottlenecks using an MCP Server workflow
The `hs_tickets_by_status` tool lets your agent team audit your support queues to find stuck cases. A performance agent can query a specific stage ID, identify tickets that have been open too long, and present them to the coordinator agent. The coordinator then assigns another agent to use `hs_update_ticket` to escalate the priority or reassign the case. This multi-agent collaboration ensures that neglected tickets are addressed before they impact your service level agreements.
Analyze customer feedback through multi-agent debate
The `hs_list_feedback` tool retrieves survey names, scores, and customer comments for your agents to review. A sentiment analysis agent can flag low scores, while a product agent evaluates the specific complaints. The agents debate the root cause of the negative feedback and use `hs_search_tickets` to see if the customer has open issues. If they find an active case, they coordinate to update the ticket status, ensuring that unhappy customers get immediate attention.
Set up HubSpot Service Hub MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes HubSpot Service Hub tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="HubSpot Service Hub_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent HubSpot Service Hub data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="HubSpot Service Hub_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent HubSpot Service Hub data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HubSpot. 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.
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 Service Hub MCP in AutoGen
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the HubSpot Service Hub MCP today
We host it, we monitor it, we maintain it. You just paste one token.