Kentico (CMS & DXP) 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 Kentico (CMS & DXP) 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 Kentico (CMS & DXP) "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Kentico (CMS & DXP)?"
)
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 Kentico (CMS & DXP) MCP Server
Connect your Kentico Xperience project to any AI agent and take full control of your digital experience platform (DXP) and enterprise CMS through natural conversation.
Pydantic AI validates every Kentico (CMS & DXP) 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
- Document Orchestration — Retrieve and update site pages and documents based on alias paths, cultures, and site names directly from your agent
- System Object Management — Create, list, and mutate general system objects (roles, templates, settings) using structured REST mappings
- User CRM & Audit — List global platform users and retrieve detailed account profiles, including roles and metadata securely
- Custom Table Analytics — Extract tabular data from Kentico custom tables to monitor internal registries and business-specific data models
- Schema Visibility — Discover and inspect Kentico object types and scalar properties to understand your project's underlying data structure
- Content Lifecycle — Perform deep property mutations on existing documents or irreversibly delete unused system objects to maintain an optimized repository
The Kentico (CMS & DXP) 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 Kentico (CMS & DXP) to Pydantic AI via MCP
Follow these steps to integrate the Kentico (CMS & DXP) 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 Kentico (CMS & DXP) with type-safe schemas
Why Use Pydantic AI with the Kentico (CMS & DXP) MCP Server
Pydantic AI provides unique advantages when paired with Kentico (CMS & DXP) 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 Kentico (CMS & DXP) integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Kentico (CMS & DXP) connection logic from agent behavior for testable, maintainable code
Kentico (CMS & DXP) + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Kentico (CMS & DXP) MCP Server delivers measurable value.
Type-safe data pipelines: query Kentico (CMS & DXP) with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Kentico (CMS & DXP) tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Kentico (CMS & DXP) and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Kentico (CMS & DXP) responses and write comprehensive agent tests
Kentico (CMS & DXP) MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Kentico (CMS & DXP) to Pydantic AI via MCP:
create_system_object
Create a new Kentico system object
delete_system_object
Delete a Kentico system object
get_single_object
Get a specific Kentico system object by ID
get_site_document
Get a document from the Kentico Xperience CMS
get_user
Get details for a specific Kentico user
list_custom_table_rows
List rows from a Kentico custom table
list_system_objects
g., roles provisions, page templates) from Kentico REST. List Kentico system objects by type
list_users
user in Kentico. List global Kentico users
update_site_document
Update an existing document in the Kentico CMS
update_system_object
Update an existing Kentico system object
Example Prompts for Kentico (CMS & DXP) in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Kentico (CMS & DXP) immediately.
"Get the 'Home' page document from site 'CorporateSite' in 'en-us' culture"
"Update the DocumentName of '/About-Us' to 'Our Team' on currentsite"
"List all rows from the custom table 'MyCompany.Inventory'"
Troubleshooting Kentico (CMS & DXP) MCP Server with Pydantic AI
Common issues when connecting Kentico (CMS & DXP) to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiKentico (CMS & DXP) + Pydantic AI FAQ
Common questions about integrating Kentico (CMS & DXP) 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 Kentico (CMS & DXP) 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 Kentico (CMS & DXP) to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.