Umbraco MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Umbraco 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 Umbraco "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Umbraco?"
)
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 Umbraco MCP Server
Connect your Umbraco CMS backend to any AI agent and take full autonomous control bridging the powerful Delivery and Management APIs purely through natural conversation.
Pydantic AI validates every Umbraco tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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
- Delivery API Traversing — Instantly list public pages, query by content type, or securely fetch structured fields by their exact domain paths organically
- Backoffice Document Control — Push new document permutations natively adhering to your configured schemas without opening a single GUI panel
- Site Mutations — Command the targeted removal of any outdated published nodes or force updates to internal fields seamlessly via
update_cms_document - Schema & Media Insight — Grab absolute lists tracking your stored binary media files alongside the global Document Types blueprints mapped out natively
The Umbraco 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 Umbraco to Pydantic AI via MCP
Follow these steps to integrate the Umbraco 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 10 tools from Umbraco with type-safe schemas
Why Use Pydantic AI with the Umbraco MCP Server
Pydantic AI provides unique advantages when paired with Umbraco 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 Umbraco integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Umbraco connection logic from agent behavior for testable, maintainable code
Umbraco + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Umbraco MCP Server delivers measurable value.
Type-safe data pipelines: query Umbraco with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Umbraco tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Umbraco and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Umbraco responses and write comprehensive agent tests
Umbraco MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Umbraco to Pydantic AI via MCP:
create_cms_document
Provide the document data as a JSON object adhering to the schema. Creates a new document in the Umbraco CMS
delete_cms_document
This action is irreversible. Permanently deletes a document from the Umbraco CMS
get_delivery_content_by_id
Retrieves a specific content item by its GUID or numeric ID via Delivery API
get_delivery_content_by_path
g., "/home/about"). Retrieves a specific content item by its URL path
get_management_document
Retrieves a specific document via the Umbraco Management API (Drafts/Backoffice)
list_delivery_content
Supports pagination via take and skip. Lists content available via the Umbraco Delivery API
list_document_types
Lists all document types (schemas) defined in Umbraco
list_media_assets
Lists media assets (images, files) from the Umbraco Media library
query_delivery_content
g., "contentType:blogPost"). Filters content items using the Umbraco Delivery API query syntax
update_cms_document
Provide the document ID and JSON updates. Updates fields of an existing document in Umbraco
Example Prompts for Umbraco in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Umbraco immediately.
"Use the delivery API to get the content from '/products/new-feature' and list out its properties."
"Look up our Document Types to see the exact schema required for a 'BlogPost'. Then create one JSON draft placeholder payload based on it."
"Delete the backoffice document holding ID d6ef43..."
Troubleshooting Umbraco MCP Server with Pydantic AI
Common issues when connecting Umbraco to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiUmbraco + Pydantic AI FAQ
Common questions about integrating Umbraco 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 Umbraco 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 Umbraco to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.