HubSpot Analytics MCP Server for Pydantic AI 5 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect HubSpot Analytics through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to HubSpot Analytics "
"(5 tools)."
),
)
result = await agent.run(
"What tools are available in HubSpot Analytics?"
)
print(result.data)
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.
Pydantic AI validates every HubSpot Analytics tool response against typed schemas, catching data inconsistencies at build time. Connect 5 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the HubSpot Analytics MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 with type-safe schemas
Why Use Pydantic AI with the HubSpot Analytics MCP Server
Pydantic AI provides unique advantages when paired with HubSpot Analytics through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your HubSpot Analytics integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your HubSpot Analytics connection logic from agent behavior for testable, maintainable code
HubSpot Analytics + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the HubSpot Analytics MCP Server delivers measurable value.
Type-safe data pipelines: query HubSpot Analytics with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple HubSpot Analytics tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query HubSpot Analytics and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock HubSpot Analytics responses and write comprehensive agent tests
HubSpot Analytics MCP Tools for Pydantic AI (5)
These 5 tools become available when you connect HubSpot Analytics to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting HubSpot Analytics to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiHubSpot Analytics + Pydantic AI FAQ
Common questions about integrating HubSpot Analytics MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.