HubSpot Analytics MCP Server for LlamaIndex 5 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add HubSpot Analytics 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 MCP SERVER
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 Analytics. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in HubSpot Analytics?"
)
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 Analytics MCP Server
Connect HubSpot CRM to any AI agent — instant access to your full CRM data without switching tabs.
LlamaIndex agents combine HubSpot Analytics tool responses with indexed documents for comprehensive, grounded answers. Connect 5 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
- 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 Analytics MCP Server exposes 5 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 Analytics to LlamaIndex via MCP
Follow these steps to integrate the HubSpot Analytics 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 5 tools from HubSpot Analytics
Why Use LlamaIndex with the HubSpot Analytics MCP Server
LlamaIndex provides unique advantages when paired with HubSpot Analytics through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine HubSpot Analytics tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain HubSpot Analytics tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query HubSpot Analytics, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what HubSpot Analytics tools were called, what data was returned, and how it influenced the final answer
HubSpot Analytics + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the HubSpot Analytics MCP Server delivers measurable value.
Hybrid search: combine HubSpot Analytics real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query HubSpot Analytics 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 Analytics for fresh data
Analytical workflows: chain HubSpot Analytics queries with LlamaIndex's data connectors to build multi-source analytical reports
HubSpot Analytics MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect HubSpot Analytics to LlamaIndex via MCP:
hs_analytics_views
Views are named configurations that scope analytics data — similar to Google Analytics views. Use when the user asks about available reporting scopes or needs a view ID for filtered analytics queries. List available analytics views in the HubSpot account for filtering web traffic and reporting data
hs_email_analytics
Returns delivery count, open rate, click rate, bounce count, unsubscribe count, and spam report count. Use when the user asks about email campaign performance, wants to check open/click rates, or needs to audit deliverability for a specific send. Get delivery and engagement analytics for a specific HubSpot marketing email — opens, clicks, bounces, and unsubscribes
hs_list_events
Shows page views, email opens, form submissions, meetings, calls, and other interactions. Essential for understanding engagement history. Requires objectType (contacts, companies, deals) and objectId. Use when the user asks "what has this contact done?" or "show me the activity timeline for this deal." List timeline events for a specific HubSpot CRM record — see all activity history for a contact, company, or deal
hs_list_reports
Returns report name, type, and description. These are custom reports created by users or auto-generated by HubSpot. Use when the user asks about available reports, wants to find a specific saved report, or needs to audit the reporting configuration. List custom analytics reports configured in HubSpot with name, type, and description
hs_web_analytics
Returns metrics like total sessions, pageviews, new contacts generated, and bounce rate. Parameters: objectType controls the report view (totals, sessions, sources), period controls granularity (total, daily, weekly, monthly), and start/end define the date range. Use when the user asks about website performance, traffic trends, lead generation from the website, or traffic source breakdown. Get website traffic analytics from HubSpot — sessions, pageviews, new contacts, and traffic sources over time
Example Prompts for HubSpot Analytics in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with HubSpot Analytics immediately.
"Search for contacts at Acme Corp"
"Create a deal: Enterprise Package $50,000"
"Show me the deal pipeline stages"
Troubleshooting HubSpot Analytics MCP Server with LlamaIndex
Common issues when connecting HubSpot Analytics to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHubSpot Analytics + LlamaIndex FAQ
Common questions about integrating HubSpot Analytics 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 Analytics with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
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 Analytics to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.