HubSpot MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Contact, Get Company Info, Get Contact Details, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect HubSpot through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The HubSpot app connector for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in HubSpot?"
)
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 MCP Server
Connect your HubSpot account to any AI agent and manage your entire CRM through natural conversation.
Pydantic AI validates every HubSpot tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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
- Contact Management — List, create, search, and delete contacts with full property access
- Company Records — Browse and inspect companies with metadata and associations
- Deal Pipeline — List all deals with amounts, stages, and pipeline assignments, and inspect individual deal details
- Smart Search — Search contacts using HubSpot filter syntax for targeted queries
- Association Management — Link CRM objects together (Contact ↔ Company, Contact ↔ Deal, etc.)
- Schema Discovery — List all available properties for any object type (contacts, companies, deals, tickets)
- Pipeline Configuration — View all sales pipelines with stages and probabilities
- Team Management — List all HubSpot users and record owners
The HubSpot MCP Server exposes 12 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.
All 12 HubSpot tools available for Pydantic AI
When Pydantic AI connects to HubSpot through Vinkius, your AI agent gets direct access to every tool listed below — spanning contact-management, deal-pipelines, lead-nurturing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add new contact
Get company details
Get contact info
Get deal info
List fields
g. Contact to Company). Create association
List CRM companies
List CRM contacts
List sales deals
List record owners
Delete contact
Find contacts
Connect HubSpot to Pydantic AI via MCP
Follow these steps to wire HubSpot into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the HubSpot MCP Server
Pydantic AI provides unique advantages when paired with HubSpot 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 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 connection logic from agent behavior for testable, maintainable code
HubSpot + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the HubSpot MCP Server delivers measurable value.
Type-safe data pipelines: query HubSpot with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple HubSpot tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query HubSpot and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock HubSpot responses and write comprehensive agent tests
Example Prompts for HubSpot in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with HubSpot immediately.
"Show all deals in the pipeline and the contacts associated with the highest-value one."
"Search for all contacts with @enterprise.com emails and create a new contact for the CEO."
"Show the sales pipelines, all HubSpot users, and the property schema for deals."
Troubleshooting HubSpot MCP Server with Pydantic AI
Common issues when connecting HubSpot to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiHubSpot + Pydantic AI FAQ
Common questions about integrating HubSpot 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.