HubSpot CMS Hub MCP Server for Pydantic AI 9 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect HubSpot CMS Hub through 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 CMS Hub "
"(9 tools)."
),
)
result = await agent.run(
"What tools are available in HubSpot CMS 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 CMS 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 CMS Hub tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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 CMS Hub MCP Server exposes 9 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 CMS Hub to Pydantic AI via MCP
Follow these steps to integrate the HubSpot CMS 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 9 tools from HubSpot CMS Hub with type-safe schemas
Why Use Pydantic AI with the HubSpot CMS Hub MCP Server
Pydantic AI provides unique advantages when paired with HubSpot CMS 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 CMS 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 CMS Hub connection logic from agent behavior for testable, maintainable code
HubSpot CMS Hub + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the HubSpot CMS Hub MCP Server delivers measurable value.
Type-safe data pipelines: query HubSpot CMS Hub with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple HubSpot CMS 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 CMS Hub and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock HubSpot CMS Hub responses and write comprehensive agent tests
HubSpot CMS Hub MCP Tools for Pydantic AI (9)
These 9 tools become available when you connect HubSpot CMS Hub to Pydantic AI via MCP:
hs_get_blog_post
Returns full post details including title, meta description, slug, body content length, author, featured image, publish date, and SEO settings. Use after listing/searching posts to drill into a specific article for complete details. Get the complete details of a specific HubSpot blog post by ID, including body content length and SEO metadata
hs_list_blog_authors
Returns author display name, URL slug, email, and bio. Authors are linked to blog posts for byline attribution. Use when the user asks about content contributors, wants to find an author profile, or needs author IDs for blog post creation. List blog authors configured in HubSpot CMS with name, email, slug, and biography
hs_list_blog_posts
Returns post title, URL slug, current state (draft/published/scheduled), author name, and publish date. Use when the user asks about blog content, wants to review recent articles, check publishing status, or audit the content calendar. List recent blog posts from HubSpot CMS with title, URL slug, publish status, author, and publish date
hs_list_blog_tags
Returns tag name and slug used for content categorization and URL generation. Blog tags group related posts for navigation and topic clustering. Use when the user asks about content categories, available tags, or wants to audit the blog taxonomy. List blog tags used for categorizing HubSpot blog content with tag name and URL slug
hs_list_domains
Returns domain name, whether DNS is resolving correctly, if the domain is primary, and which HubSpot features use it (CMS, email, landing pages). Use when the user asks about connected domains, DNS configuration, or wants to verify domain setup. List all domains connected to HubSpot with DNS resolution status, primary domain flag, and usage type
hs_list_landing_pages
Landing pages are standalone conversion-focused pages (signup forms, lead magnets, event registration). Returns page title, slug, status, and full URL. Distinct from regular site pages — landing pages are typically ungated and optimized for form fills. Use when the user asks about conversion pages or lead capture pages. List HubSpot landing pages designed for conversion with title, URL, publish status, and campaign association
hs_list_site_pages
Returns page title, URL slug, current state (draft/published), and associated domain. Site pages are standard website pages (About, Contact, Pricing, etc.) — distinct from blog posts and landing pages. Use when the user asks about website content, page inventory, or publishing status. List website pages hosted in HubSpot CMS with title, URL slug, publish status, and domain
hs_search_blog_posts
Returns matching posts with title, slug, status, and date. Use when the user wants to find a specific article, check if a topic has been covered, or locate a post for updating. Search HubSpot blog posts by title or keyword to find specific articles in the content library
hs_search_site_pages
Returns matching pages with title, slug, status, and domain. Use when the user wants to find a specific website page or check if a topic has a dedicated page. Search HubSpot site pages by title or keyword to find specific web pages
Example Prompts for HubSpot CMS Hub in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with HubSpot CMS Hub immediately.
"Search for contacts at Acme Corp"
"Create a deal: Enterprise Package $50,000"
"Show me the deal pipeline stages"
Troubleshooting HubSpot CMS Hub MCP Server with Pydantic AI
Common issues when connecting HubSpot CMS Hub to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiHubSpot CMS Hub + Pydantic AI FAQ
Common questions about integrating HubSpot CMS 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 CMS Hub with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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.
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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 CMS Hub to Pydantic AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.