Kentico (CMS & DXP) MCP Server for CrewAI 10 tools — connect in under 2 minutes
Connect your CrewAI agents to Kentico (CMS & DXP) through Vinkius, pass the Edge URL in the `mcps` parameter and every Kentico (CMS & DXP) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Kentico (CMS & DXP) Specialist",
goal="Help users interact with Kentico (CMS & DXP) effectively",
backstory=(
"You are an expert at leveraging Kentico (CMS & DXP) tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in Kentico (CMS & DXP) "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 10 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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.
When paired with CrewAI, Kentico (CMS & DXP) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Kentico (CMS & DXP) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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 CrewAI 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 CrewAI via MCP
Follow these steps to integrate the Kentico (CMS & DXP) MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py. CrewAI auto-discovers 10 tools from Kentico (CMS & DXP)
Why Use CrewAI with the Kentico (CMS & DXP) MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Kentico (CMS & DXP) through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Kentico (CMS & DXP) + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Kentico (CMS & DXP) MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Kentico (CMS & DXP) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Kentico (CMS & DXP), analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Kentico (CMS & DXP) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Kentico (CMS & DXP) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Kentico (CMS & DXP) MCP Tools for CrewAI (10)
These 10 tools become available when you connect Kentico (CMS & DXP) to CrewAI 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 CrewAI
Ready-to-use prompts you can give your CrewAI 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 CrewAI
Common issues when connecting Kentico (CMS & DXP) to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Kentico (CMS & DXP) + CrewAI FAQ
Common questions about integrating Kentico (CMS & DXP) MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.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 CrewAI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
