HubSpot Analytics MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect HubSpot Analytics through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="HubSpot Analytics Assistant",
instructions=(
"You help users interact with HubSpot Analytics. "
"You have access to 5 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from HubSpot Analytics"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 5 tools from HubSpot Analytics through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries HubSpot Analytics, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the HubSpot Analytics MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 5 tools from HubSpot Analytics
Why Use OpenAI Agents SDK with the HubSpot Analytics MCP Server
OpenAI Agents SDK provides unique advantages when paired with HubSpot Analytics through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
HubSpot Analytics + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the HubSpot Analytics MCP Server delivers measurable value.
Automated workflows: build agents that query HubSpot Analytics, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries HubSpot Analytics, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through HubSpot Analytics tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query HubSpot Analytics to resolve tickets, look up records, and update statuses without human intervention
HubSpot Analytics MCP Tools for OpenAI Agents SDK (5)
These 5 tools become available when you connect HubSpot Analytics to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting HubSpot Analytics to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
HubSpot Analytics + OpenAI Agents SDK FAQ
Common questions about integrating HubSpot Analytics MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.