How to Use the HubSpot Operations Hub MCP in LlamaIndex
Index your CRM configuration into LlamaIndex to build searchable, knowledge-augmented workflows using HubSpot Operations Hub.
Works with every AI agent you already use
…and any MCP-compatible client
Connect HubSpot Operations Hub MCP to LlamaIndex
Create your Vinkius account to connect HubSpot Operations Hub to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Build a knowledge base of CRM properties
Index your current field definitions by running `hs_list_properties` and feeding the output into your vector store. Your agent gains a semantic understanding of your CRM schema, allowing it to answer questions about data types and field groups. This grounding ensures that any automation or data entry task is based on your actual CRM environment. Your agents stop guessing field names and start using the exact internal labels required by your account.
Query pipeline stages with LlamaIndex
Turn your pipeline configurations into searchable knowledge by indexing the output of `hs_list_all_pipelines`. When you need to know which stage ID corresponds to a specific deal process, your agent retrieves the answer from the index. This approach avoids constant API polling while keeping your agent informed. You get fast, context-aware responses that reflect the current state of your sales and support processes.
Track automation status
Index your workflow list by executing `hs_list_workflows` and incorporating the results into your RAG pipeline. Your agents can now explain which automations are active and how many actions each one currently performs. This provides a historical and current view of your operational logic. You can query your knowledge base to troubleshoot why a specific process isn't triggering as expected.
Set up HubSpot Operations Hub MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all HubSpot Operations Hub MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to HubSpot Operations Hub tools.",
)
response = await agent.run("List recent HubSpot Operations Hub data") 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 Operations Hub MCP in LlamaIndex
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