How to Use the HubSpot Sales Hub MCP in AutoGen
Give your AutoGen agents the ability to debate and manage HubSpot deals. Build consensus-driven sales workflows that update pipelines automatically.
Works with every AI agent you already use
…and any MCP-compatible client
Connect HubSpot Sales Hub MCP to AutoGen
Create your Vinkius account to connect HubSpot Sales 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.
Multi-agent deal negotiation
`hs_create_deal` and `hs_update_deal` give your AutoGen agents write access to your sales pipeline after they reach consensus. A finance agent reviews a proposed discount while a sales agent argues for the close. Once they agree, the system pushes the updated amount and target close date directly to the CRM. This prevents rogue updates. The framework forces agents to deliberate on the context before executing a write operation. They verify the pipeline stage using internal IDs, ensuring the deal moves to the correct approval queue.
Analyze pipeline bottlenecks with agents
`hs_deals_by_stage` and `hs_list_pipelines` let your agents pull exact metrics for specific sales stages. An analyst agent retrieves all deals currently stuck in the Proposal stage. It hands that data to a coaching agent, which identifies reps who need help moving prospects to Closed Won. The agents debate the reasons for the bottleneck based on the returned data. They look at the total monetary value stalled in the pipeline and propose specific interventions. You get a synthesized strategy report backed by hard CRM numbers.
Cross-reference meetings via MCP Server
`hs_list_meetings` and `hs_list_quotes` feed historical interaction data into your AutoGen conversations. A compliance agent checks if an approved quote exists before allowing another agent to send a final contract. It verifies the expiration date and total amount against internal policies. The agents pull meeting outcomes to determine if a prospect is actually engaged. If the last logged call ended poorly, an agent can flag the associated deal for review. They use real interaction data to challenge optimistic revenue forecasts.
Set up HubSpot Sales 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 Sales 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 Sales Hub_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent HubSpot Sales 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 Sales Hub_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent HubSpot Sales 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.
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Common questions about HubSpot Sales Hub MCP in AutoGen
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