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HubSpot CRM MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect HubSpot CRM through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
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 CRM "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in HubSpot CRM?"
    )
    print(result.data)

asyncio.run(main())
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About HubSpot CRM MCP Server

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

Pydantic AI validates every HubSpot CRM tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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 CRM MCP Server exposes 10 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 CRM to Pydantic AI via MCP

Follow these steps to integrate the HubSpot CRM MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from HubSpot CRM with type-safe schemas

Why Use Pydantic AI with the HubSpot CRM MCP Server

Pydantic AI provides unique advantages when paired with HubSpot CRM through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your HubSpot CRM integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your HubSpot CRM connection logic from agent behavior for testable, maintainable code

HubSpot CRM + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the HubSpot CRM MCP Server delivers measurable value.

01

Type-safe data pipelines: query HubSpot CRM with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple HubSpot CRM tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query HubSpot CRM and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock HubSpot CRM responses and write comprehensive agent tests

HubSpot CRM MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect HubSpot CRM to Pydantic AI via MCP:

01

hs_create_company

The name is required. Providing the website domain (e.g., "acme.com") helps HubSpot auto-enrich the company with public data. Industry should match HubSpot industry categories. Returns the created company with its new HubSpot ID. Create a new company record in HubSpot CRM with name, domain, industry, and phone

02

hs_create_contact

Email is the primary deduplication key — if a contact with the same email already exists, the API will return an error. Provide first name, last name, phone, company name, and lifecycle stage to fully populate the record. Returns the created contact with its new HubSpot ID. Create a new contact in HubSpot CRM with email as the unique identifier, plus name, phone, and company

03

hs_create_note

The body supports HTML. Notes appear in the timeline of associated records — essential for keeping CRM activity history. Provide contact, company, or deal IDs to link the note. Use to log meeting notes, call summaries, or internal context. Create an engagement note in HubSpot attached to a contact, company, or deal for activity logging

04

hs_create_task

Tasks appear in the tasks queue and can be assigned to owners. Set priority to HIGH, MEDIUM, or LOW. Due date should be ISO format. Associate with a contact by providing their ID. Use when the user wants to schedule follow-ups, create reminders, or assign action items. Create a follow-up task in HubSpot with subject, due date, priority, and optional contact association

05

hs_get_associations

For example: objectType="companies", objectId="123", toObjectType="contacts" returns all contacts associated with company 123. Common patterns: company→contacts, contact→deals, deal→contacts, contact→tickets. Use when the user asks "which contacts are at this company?" or "what deals does this contact have?" Get associations between HubSpot CRM objects — e.g., find all contacts linked to a company, or deals linked to a contact

06

hs_get_contact

Returns full contact data including name, email, phone, company, lifecycle stage, lead status, last activity date, and all custom properties. Use after searching contacts to drill into a specific person for full details. Get the complete details of a specific HubSpot contact by their record ID

07

hs_search_companies

Returns company name, website domain, industry, annual revenue, employee count, and assigned owner. Use when the user wants to find a specific company, look up organizational details, or check company-level CRM data. Search HubSpot CRM companies by name, domain, or industry to find organizations

08

hs_search_contacts

Returns first name, last name, email, phone, associated company, lifecycle stage (subscriber/lead/MQL/SQL/opportunity/customer/evangelist), and assigned HubSpot owner. Use when the user wants to find a specific person, check contact details, verify lifecycle stage, or look up who is at a particular company. Search HubSpot CRM contacts by name, email, phone, or company to find people in your database

09

hs_update_company

Only specified fields are updated. Use when the user wants to update company details, correct industry classification, or change the domain. Update properties of an existing HubSpot company by their record ID

10

hs_update_contact

Only the fields you provide will be updated — other fields remain unchanged. Use when the user wants to correct contact info, update a phone number, change lifecycle stage, or reassign a contact. Update properties of an existing HubSpot contact by their record ID

Example Prompts for HubSpot CRM in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with HubSpot CRM immediately.

01

"Search for contacts at Acme Corp"

02

"Create a deal: Enterprise Package $50,000"

03

"Show me the deal pipeline stages"

Troubleshooting HubSpot CRM MCP Server with Pydantic AI

Common issues when connecting HubSpot CRM to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

HubSpot CRM + Pydantic AI FAQ

Common questions about integrating HubSpot CRM MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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

Connect HubSpot CRM to Pydantic AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.