HubSpot Service 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 Service 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 Service Hub "
"(6 tools)."
),
)
result = await agent.run(
"What tools are available in HubSpot Service 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 Service 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 Service 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 Service 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 Service Hub to Pydantic AI via MCP
Follow these steps to integrate the HubSpot Service 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 Service Hub with type-safe schemas
Why Use Pydantic AI with the HubSpot Service Hub MCP Server
Pydantic AI provides unique advantages when paired with HubSpot Service 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 Service 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 Service Hub connection logic from agent behavior for testable, maintainable code
HubSpot Service Hub + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the HubSpot Service Hub MCP Server delivers measurable value.
Type-safe data pipelines: query HubSpot Service Hub with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple HubSpot Service 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 Service Hub and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock HubSpot Service Hub responses and write comprehensive agent tests
HubSpot Service Hub MCP Tools for Pydantic AI (6)
These 6 tools become available when you connect HubSpot Service Hub to Pydantic AI via MCP:
hs_create_ticket
Subject is required. Optionally provide content (detailed description), hs_pipeline (pipeline ID), hs_pipeline_stage (stage ID), and hs_ticket_priority (HIGH, MEDIUM, LOW). If no pipeline is specified, uses the default support pipeline. Returns the created ticket with its HubSpot ID. Create a new support ticket in HubSpot Service Hub with subject, description, pipeline stage, and priority
hs_list_feedback
Returns survey name, customer rating/score, survey type (NPS/CSAT/CES), and response content. Use when the user asks about customer satisfaction, NPS scores, or wants to review recent feedback from support interactions. List customer feedback survey submissions in HubSpot with ratings, survey type, and response content
hs_search_tickets
Returns ticket subject, current pipeline stage/status, priority (HIGH/MEDIUM/LOW), pipeline name, category, and creation date. Use when the user asks about open tickets, needs to find a specific support case, or wants to check the status of a customer issue. Search HubSpot Service Hub tickets by subject or keyword to find customer support cases
hs_ticket_pipelines
Returns pipeline name, stage labels, stage IDs (needed for creating/filtering tickets), and display order. Support pipelines define the workflow tickets follow: typically New → Waiting on Contact → Waiting on Us → Closed. Essential for finding stage IDs before ticket operations. List all ticket/support pipelines in HubSpot with their stages, display order, and internal IDs
hs_tickets_by_status
Returns tickets with subject, priority, and dates. Use when the user asks "how many tickets are open?", "what is waiting for response?", or for support queue analysis. Find stage IDs using hs_ticket_pipelines first. Get all HubSpot tickets at a specific pipeline stage to analyze queue depth, workload, or resolution bottlenecks
hs_update_ticket
Only specified fields are updated. Common use: advance hs_pipeline_stage when a case progresses, escalate hs_ticket_priority, or update the subject for clarity. Use when the user says a ticket moved stages, priority changed, or needs correction. Update an existing HubSpot ticket — change status, priority, subject, or reassign to reflect case progress
Example Prompts for HubSpot Service Hub in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with HubSpot Service Hub immediately.
"Search for contacts at Acme Corp"
"Create a deal: Enterprise Package $50,000"
"Show me the deal pipeline stages"
Troubleshooting HubSpot Service Hub MCP Server with Pydantic AI
Common issues when connecting HubSpot Service Hub to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiHubSpot Service Hub + Pydantic AI FAQ
Common questions about integrating HubSpot Service 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 Service 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.
AI-first code editor with integrated LLM-powered coding assistance.
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 Service Hub to Pydantic AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.