HubSpot MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Contact, Get Company Info, Get Contact Details, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add HubSpot as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The HubSpot app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to HubSpot. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in HubSpot?"
)
print(response)
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 MCP Server
Connect your HubSpot account to any AI agent and manage your entire CRM through natural conversation.
LlamaIndex agents combine HubSpot tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Contact Management — List, create, search, and delete contacts with full property access
- Company Records — Browse and inspect companies with metadata and associations
- Deal Pipeline — List all deals with amounts, stages, and pipeline assignments, and inspect individual deal details
- Smart Search — Search contacts using HubSpot filter syntax for targeted queries
- Association Management — Link CRM objects together (Contact ↔ Company, Contact ↔ Deal, etc.)
- Schema Discovery — List all available properties for any object type (contacts, companies, deals, tickets)
- Pipeline Configuration — View all sales pipelines with stages and probabilities
- Team Management — List all HubSpot users and record owners
The HubSpot MCP Server exposes 12 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 HubSpot tools available for LlamaIndex
When LlamaIndex connects to HubSpot through Vinkius, your AI agent gets direct access to every tool listed below — spanning contact-management, deal-pipelines, lead-nurturing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add new contact
Get company details
Get contact info
Get deal info
List fields
g. Contact to Company). Create association
List CRM companies
List CRM contacts
List sales deals
List record owners
Delete contact
Find contacts
Connect HubSpot to LlamaIndex via MCP
Follow these steps to wire HubSpot into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the HubSpot MCP Server
LlamaIndex provides unique advantages when paired with HubSpot through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine HubSpot tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain HubSpot tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query HubSpot, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what HubSpot tools were called, what data was returned, and how it influenced the final answer
HubSpot + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the HubSpot MCP Server delivers measurable value.
Hybrid search: combine HubSpot real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query HubSpot to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying HubSpot for fresh data
Analytical workflows: chain HubSpot queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for HubSpot in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with HubSpot immediately.
"Show all deals in the pipeline and the contacts associated with the highest-value one."
"Search for all contacts with @enterprise.com emails and create a new contact for the CEO."
"Show the sales pipelines, all HubSpot users, and the property schema for deals."
Troubleshooting HubSpot MCP Server with LlamaIndex
Common issues when connecting HubSpot to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHubSpot + LlamaIndex FAQ
Common questions about integrating HubSpot MCP Server with LlamaIndex.