Pydantic AISDK

Why use HubSpot Analytics MCP Server with Pydantic AI?

Bring Web Analytics
to Pydantic AI

Name: HubSpot Analytics MCP Server
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Create your Vinkius account to connect HubSpot Analytics to Pydantic AI and start using all 5 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

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Hs Analytics ViewsHs Email AnalyticsHs List EventsHs List ReportsHs Web Analytics

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What is the HubSpot Analytics MCP Server?

Connect HubSpot CRM to any AI agent — instant access to your full CRM data without switching tabs.

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

Who is this for?

Sales Reps — Manage your CRM without leaving your AI assistant
Support Teams — Create tickets and notes on-the-go
RevOps — Pipeline snapshots and owner assignments
Managers — Full CRM visibility through conversation

Built-in capabilities (5)

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

See what your AI agent can do with HubSpot Analytics

Why Pydantic AI?

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.

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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your HubSpot Analytics integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your HubSpot Analytics connection logic from agent behavior for testable, maintainable code

See it in action

HubSpot Analytics in Pydantic AI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Enterprise Security

Why run HubSpot Analytics with Vinkius?

The HubSpot Analytics connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 5 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

View full HubSpot Analytics details →

Fully ManagedNo server setup

Plug & PlayNo coding needed

SecurePrivacy protected

PrivateYour data is safe

Cost ControlBudget limits

Control1-click disconnect

Auto-UpdatesMaintenance free

High SpeedOptimized for AI

Reliable99.9% uptime

Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents

Complete visibility into every agent action

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect HubSpot Analytics using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Explore Analytics

Why Vinkius

HubSpot Analytics and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect HubSpot Analytics to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations

<40msResponse time

100%Fully managed

	Raw MCP	Vinkius
Ready-to-use MCPs	Find and configure each manually	4,000+ MCPs ready to use
Connection Setup	Manual coding & server setup	1-click instant connection
Server Hosting	You host it yourself (needs 24/7 uptime)	100% hosted & managed by Vinkius
Security & Privacy	Stored in plaintext config files	Bank-grade encrypted vault
Activity Visibility	Blind execution (no logs or tracking)	Live dashboard with real-time logs
Cost Control	Runaway AI token spend risk	Automatic budget limits
Revoking Access	Must delete files or code to stop	1-click disconnect button

View step-by-step setup guide for Pydantic AI →

The Vinkius Advantage

How Vinkius secures
HubSpot Analytics for Pydantic AI

Every request between Pydantic AI and HubSpot Analytics is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

What HubSpot data can I access?

Contacts, Companies, Deals, Tickets, Notes, Owners, and Pipelines. All data respects your HubSpot permissions.

Can I create and update records?

Yes! Create contacts, deals, tickets, and notes. All through natural conversation.

How does authentication work?

Uses a HubSpot Private App token (Bearer). Create a Private App in Settings > Integrations > Private Apps, copy the token, and paste it.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your HubSpot Analytics MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.