HubSpot Operations 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 Operations 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 Operations Hub "
"(6 tools)."
),
)
result = await agent.run(
"What tools are available in HubSpot Operations 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 Operations 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 Operations 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 Operations 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 Operations Hub to Pydantic AI via MCP
Follow these steps to integrate the HubSpot Operations 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 Operations Hub with type-safe schemas
Why Use Pydantic AI with the HubSpot Operations Hub MCP Server
Pydantic AI provides unique advantages when paired with HubSpot Operations 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 Operations 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 Operations Hub connection logic from agent behavior for testable, maintainable code
HubSpot Operations Hub + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the HubSpot Operations Hub MCP Server delivers measurable value.
Type-safe data pipelines: query HubSpot Operations Hub with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple HubSpot Operations 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 Operations Hub and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock HubSpot Operations Hub responses and write comprehensive agent tests
HubSpot Operations Hub MCP Tools for Pydantic AI (6)
These 6 tools become available when you connect HubSpot Operations Hub to Pydantic AI via MCP:
hs_create_property
Create a custom property (field) on a HubSpot CRM object to extend the data model with business-specific fields
hs_list_all_pipelines
Returns pipeline name, stage labels, internal stage IDs, and display order. Pipelines define the process stages for deals (sales process) or tickets (support process). Use when configuring automations, setting up deal/ticket routing, or when the user needs pipeline/stage IDs for creating records. List all deal or ticket pipelines with their stages, IDs, and display order for workflow configuration
hs_list_owners
Owners are the users who can be assigned to contacts, companies, deals, and tickets. Returns owner ID, name, email, active status, and team memberships. Use when configuring round-robin assignment rules, auditing user access, or when the user needs owner IDs for record assignment. List all HubSpot owners (CRM users) for use in assignment workflows, with name, email, and active status
hs_list_properties
Returns property internal name, display label, data type (string/number/date/enumeration), field type (text/number/date/select/checkbox), group name, and description. Essential for understanding the CRM data model. Use when the user asks "what fields exist on contacts?", wants to audit custom properties, or needs internal property names for filters/searches. List all properties (fields) configured on a HubSpot CRM object type — contacts, companies, deals, or tickets
hs_list_property_groups
Returns group internal name and display label. Property groups organize fields into logical sections in the HubSpot UI (e.g., "Contact Information", "Social Media", "Custom Fields"). Use to find valid group names before creating custom properties with hs_create_property. List property groups for a HubSpot CRM object — the logical sections that organize properties in the UI
hs_list_workflows
Returns workflow name, type (drip/standard/nurturing), enabled status (active vs inactive), and number of actions in the workflow. Workflows automate marketing, sales, and service processes — e.g., lead nurturing emails, deal stage automation, ticket routing. Use when the user asks about active automations, wants to audit workflows, or needs to check which automations are running. List all automation workflows in HubSpot with name, type, active/inactive status, and action count
Example Prompts for HubSpot Operations Hub in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with HubSpot Operations Hub immediately.
"Search for contacts at Acme Corp"
"Create a deal: Enterprise Package $50,000"
"Show me the deal pipeline stages"
Troubleshooting HubSpot Operations Hub MCP Server with Pydantic AI
Common issues when connecting HubSpot Operations Hub to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiHubSpot Operations Hub + Pydantic AI FAQ
Common questions about integrating HubSpot Operations 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 Operations Hub with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Operations Hub to Pydantic AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.