HubSpot Marketing Hub MCP Server for Pydantic AI 6 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect HubSpot Marketing Hub through the 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 Marketing Hub "
"(6 tools)."
),
)
result = await agent.run(
"What tools are available in HubSpot Marketing Hub?"
)
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 Marketing Hub MCP Server
Connect HubSpot CRM to any AI agent — instant access to your full CRM data without switching tabs.
Pydantic AI validates every HubSpot Marketing Hub tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through the 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 Marketing Hub MCP Server exposes 6 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 Marketing Hub to Pydantic AI via MCP
Follow these steps to integrate the HubSpot Marketing Hub 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 6 tools from HubSpot Marketing Hub with type-safe schemas
Why Use Pydantic AI with the HubSpot Marketing Hub MCP Server
Pydantic AI provides unique advantages when paired with HubSpot Marketing Hub 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 Marketing Hub 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 Marketing Hub connection logic from agent behavior for testable, maintainable code
HubSpot Marketing Hub + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the HubSpot Marketing Hub MCP Server delivers measurable value.
Type-safe data pipelines: query HubSpot Marketing Hub with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple HubSpot Marketing Hub tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query HubSpot Marketing Hub and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock HubSpot Marketing Hub responses and write comprehensive agent tests
HubSpot Marketing Hub MCP Tools for Pydantic AI (6)
These 6 tools become available when you connect HubSpot Marketing Hub to Pydantic AI via MCP:
hs_form_submissions
Returns each submission with the field values the visitor entered, submission date, and page URL. Use when the user wants to review lead capture data, check who submitted a form, or analyze form conversion data. You need the form ID — use hs_list_forms to find it. Get individual form submissions for a specific HubSpot form, showing submitted field values and dates
hs_list_campaigns
Returns campaign name, type, current state, and associated dates. Campaigns group related marketing assets (emails, landing pages, ads) under a single initiative for unified tracking. Use when the user asks about marketing initiatives, campaign performance, or wants to review active campaigns. List marketing campaigns in HubSpot with name, type, status, and campaign dates
hs_list_contact_lists
Returns list name, type (STATIC for manual lists, DYNAMIC for smart lists with auto-updating criteria), and count of contacts in each list. Use when the user asks about audience segments, marketing lists, wants to know list sizes, or needs to understand audience targeting. List HubSpot contact lists (static and smart/dynamic) with name, type, and contact count
hs_list_forms
Returns form name, form type (regular/popup/embedded), number of fields, and submission count. Forms are the primary lead capture mechanism in HubSpot. Use when the user asks about lead generation forms, wants to audit form performance, or needs a form ID to check submissions. List HubSpot forms used for lead capture with name, type, field count, and submission volume
hs_list_landing_pages
Returns page title, publish status (draft/published), URL slug, and full public URL. Landing pages are standalone pages designed for conversion (form fills, downloads). Use when the user asks about landing pages, lead capture pages, or wants to review publishing status. List HubSpot landing pages with title, publish status, URL slug, and full page URL
hs_list_marketing_emails
Returns email name, subject line, type (regular/automated/blog), current state (draft/published/sent), and publish/send date. Use when the user asks about email campaigns, wants to see recent sends, or needs to check which emails are active. List marketing emails in HubSpot with name, subject line, send status, type, and publish date
Example Prompts for HubSpot Marketing Hub in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with HubSpot Marketing Hub immediately.
"Search for contacts at Acme Corp"
"Create a deal: Enterprise Package $50,000"
"Show me the deal pipeline stages"
Troubleshooting HubSpot Marketing Hub MCP Server with Pydantic AI
Common issues when connecting HubSpot Marketing Hub to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiHubSpot Marketing Hub + Pydantic AI FAQ
Common questions about integrating HubSpot Marketing Hub 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 Marketing Hub 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.
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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 Marketing Hub to Pydantic AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.