HubSpot Service Hub MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add HubSpot Service Hub as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 Service Hub. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in HubSpot Service Hub?"
)
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 Service Hub MCP Server
Connect HubSpot CRM to any AI agent — instant access to your full CRM data without switching tabs.
LlamaIndex agents combine HubSpot Service Hub tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through the 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
- Contacts — Search, create, and manage contacts
- Companies — Find companies by name or domain
- Deals — Search and create deals with pipeline tracking
- Tickets — Create and search support tickets
- Notes — Create notes attached to any CRM record
- Owners — View all owners and team assignments
- Pipelines — List deal and ticket pipeline stages
The HubSpot Service Hub MCP Server exposes 6 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.
How to Connect HubSpot Service Hub to LlamaIndex via MCP
Follow these steps to integrate the HubSpot Service Hub MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 6 tools from HubSpot Service Hub
Why Use LlamaIndex with the HubSpot Service Hub MCP Server
LlamaIndex provides unique advantages when paired with HubSpot Service Hub through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine HubSpot Service Hub tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain HubSpot Service Hub tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query HubSpot Service Hub, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what HubSpot Service Hub tools were called, what data was returned, and how it influenced the final answer
HubSpot Service Hub + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the HubSpot Service Hub MCP Server delivers measurable value.
Hybrid search: combine HubSpot Service Hub real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query HubSpot Service Hub 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 Service Hub for fresh data
Analytical workflows: chain HubSpot Service Hub queries with LlamaIndex's data connectors to build multi-source analytical reports
HubSpot Service Hub MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect HubSpot Service Hub to LlamaIndex via MCP:
hs_create_ticket
Subject is required. Optionally provide content (detailed description), hs_pipeline (pipeline ID), hs_pipeline_stage (stage ID), and hs_ticket_priority (HIGH, MEDIUM, LOW). If no pipeline is specified, uses the default support pipeline. Returns the created ticket with its HubSpot ID. Create a new support ticket in HubSpot Service Hub with subject, description, pipeline stage, and priority
hs_list_feedback
Returns survey name, customer rating/score, survey type (NPS/CSAT/CES), and response content. Use when the user asks about customer satisfaction, NPS scores, or wants to review recent feedback from support interactions. List customer feedback survey submissions in HubSpot with ratings, survey type, and response content
hs_search_tickets
Returns ticket subject, current pipeline stage/status, priority (HIGH/MEDIUM/LOW), pipeline name, category, and creation date. Use when the user asks about open tickets, needs to find a specific support case, or wants to check the status of a customer issue. Search HubSpot Service Hub tickets by subject or keyword to find customer support cases
hs_ticket_pipelines
Returns pipeline name, stage labels, stage IDs (needed for creating/filtering tickets), and display order. Support pipelines define the workflow tickets follow: typically New → Waiting on Contact → Waiting on Us → Closed. Essential for finding stage IDs before ticket operations. List all ticket/support pipelines in HubSpot with their stages, display order, and internal IDs
hs_tickets_by_status
Returns tickets with subject, priority, and dates. Use when the user asks "how many tickets are open?", "what is waiting for response?", or for support queue analysis. Find stage IDs using hs_ticket_pipelines first. Get all HubSpot tickets at a specific pipeline stage to analyze queue depth, workload, or resolution bottlenecks
hs_update_ticket
Only specified fields are updated. Common use: advance hs_pipeline_stage when a case progresses, escalate hs_ticket_priority, or update the subject for clarity. Use when the user says a ticket moved stages, priority changed, or needs correction. Update an existing HubSpot ticket — change status, priority, subject, or reassign to reflect case progress
Example Prompts for HubSpot Service Hub in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with HubSpot Service Hub immediately.
"Search for contacts at Acme Corp"
"Create a deal: Enterprise Package $50,000"
"Show me the deal pipeline stages"
Troubleshooting HubSpot Service Hub MCP Server with LlamaIndex
Common issues when connecting HubSpot Service Hub to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHubSpot Service Hub + LlamaIndex FAQ
Common questions about integrating HubSpot Service Hub MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect HubSpot Service Hub with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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TypeScript toolkit for building AI-powered web applications.
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Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect HubSpot Service Hub to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.