How to Use the HubSpot Marketing Hub MCP in LlamaIndex

Q: Can I run semantic search on HubSpot Marketing Hub forms in LlamaIndex?

Yes. You pull form data using hslistforms and hsformsubmissions, index the text, and let LlamaIndex run vector queries against those submissions. This surfaces recurring themes in your lead data.

Q: Does this HubSpot Marketing Hub MCP Server support LlamaIndex resource loading?

Yes. By setting includeresources=True in your tool spec, LlamaIndex treats the HubSpot API endpoints as direct data sources for your query engine.

Q: Can I filter which HubSpot assets get indexed?

Yes. You use the allowedtools filter in LlamaIndex to restrict your agent to specific tools like hslistmarketingemails while ignoring form submissions.

Q: Where does this LlamaIndex integration store my contact lists?

The MCP Server retrieves list data via hslistcontactlists but never stores it. Your contact counts and list names are sent directly to your local LlamaIndex vector store, keeping your audience data private.

Index HubSpot marketing data into your LlamaIndex vector store using this MCP Server for context-rich semantic search.

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Connect HubSpot Marketing Hub MCP to LlamaIndex

Create your Vinkius account to connect HubSpot Marketing 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.

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Setup HubSpot Marketing Hub with LlamaIndex

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Index live HubSpot campaigns with LlamaIndex

`hs_list_campaigns` extracts your active marketing initiatives so LlamaIndex can parse and index them. Your agent queries this index to find which campaigns match specific target audiences or dates. This grounds your RAG applications in actual HubSpot marketing data. You get answers based on real campaign states instead of letting your LLM guess or hallucinate.

Build a searchable knowledge base of your forms

`hs_list_forms` pulls your active lead generation forms, and `hs_form_submissions` retrieves the actual field values and submission dates. LlamaIndex indexes these submissions into a vector store for fast semantic search. You ask your agent questions about what leads are asking for. It searches the indexed form submissions to find common pain points without manual CSV exports.

Query your marketing assets using this MCP Server

`hs_list_marketing_emails` and `hs_list_landing_pages` pull your published pages and email subjects directly into your LlamaIndex document store. The agent cross-references active emails with live landing page URLs to find mismatches. This gives your RAG pipeline a complete map of your public-facing assets. You query your marketing footprint using this MCP toolset, backed by live API data.

Setup guide

Set up HubSpot Marketing Hub MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to 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 Marketing Hub MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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 Marketing Hub tools.",
)
response = await agent.run("List recent HubSpot Marketing Hub data")

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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 Marketing Hub MCP in LlamaIndex

Use the basic MCP client to connect to the server, convert the tools using `McpToolSpec`, and load the outputs of `hs_list_campaigns` into your index. Your agent can then search or query this live data.

Yes. You pull form data using `hs_list_forms` and `hs_form_submissions`, index the text, and let LlamaIndex run vector queries against those submissions. This surfaces recurring themes in your lead data.

Yes. By setting `include_resources=True` in your tool spec, LlamaIndex treats the HubSpot API endpoints as direct data sources for your query engine.

Yes. You use the `allowed_tools` filter in LlamaIndex to restrict your agent to specific tools like `hs_list_marketing_emails` while ignoring form submissions.

The MCP Server retrieves list data via `hs_list_contact_lists` but never stores it. Your contact counts and list names are sent directly to your local LlamaIndex vector store, keeping your audience data private.

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