Kentico (CMS & DXP) MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Kentico (CMS & DXP) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"kentico-cms-dxp": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Kentico (CMS & DXP), show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Kentico (CMS & DXP) through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Kentico (CMS & DXP) MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Kentico (CMS & DXP) via MCP
Why Use LangChain with the Kentico (CMS & DXP) MCP Server
LangChain provides unique advantages when paired with Kentico (CMS & DXP) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Kentico (CMS & DXP) MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Kentico (CMS & DXP) queries for multi-turn workflows
Kentico (CMS & DXP) + LangChain Use Cases
Practical scenarios where LangChain combined with the Kentico (CMS & DXP) MCP Server delivers measurable value.
RAG with live data: combine Kentico (CMS & DXP) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Kentico (CMS & DXP), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Kentico (CMS & DXP) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Kentico (CMS & DXP) tool call, measure latency, and optimize your agent's performance
Kentico (CMS & DXP) MCP Tools for LangChain (10)
These 10 tools become available when you connect Kentico (CMS & DXP) to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Kentico (CMS & DXP) to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersKentico (CMS & DXP) + LangChain FAQ
Common questions about integrating Kentico (CMS & DXP) MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.