Can my AI agent create new pages from specific templates?

Yes. Ask the agent to list your content templates to find the ID of the template you want (e.g., 'Article' or 'Landing Page'). Then, provide the parent path where you want the new items to exist. Your agent will call the Sitecore API to instantly generate the new items based on those schemas without requiring you to open the Content Editor.

How can I bulk update metadata for outdated pages?

First, ask your agent to search for the specific path or keyword to get all related page IDs. Then, command the agent to update each item by passing a JSON with the new fields (like updating SEO descriptions or valid dates). The AI parses your instruction and dynamically executes the updates directly into Sitecore.

Is it possible to check whether an item is published or still in Draft mode?

Absolutely. You can request the agent to get the workflow state of any given item path. The agent will respond with the current state (e.g., Draft, Awaiting Approval, or Published), making it easy to track content pipelines.

Sitecore MCP Server for CrewAI 9 tools — connect in under 2 minutes

Name: Sitecore
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 9 Tools Framework

Connect your CrewAI agents to Sitecore through Vinkius, pass the Edge URL in the `mcps` parameter and every Sitecore tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Sitecore Specialist",
    goal="Help users interact with Sitecore effectively",
    backstory=(
        "You are an expert at leveraging Sitecore 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 Sitecore "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 9 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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IAMAccess control

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Sitecore MCP Server

Connect your Sitecore instance to any AI agent and take full control of your enterprise CMS through natural conversation. Execute headless content operations without navigating the complex Sitecore Content Editor.

When paired with CrewAI, Sitecore becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Sitecore 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

Item Management — Retrieve, create, update, and delete Sitecore items using their path or unique ID
Content Search — Search deeply across your content tree using keywords, templates, and dates
Site navigation — List item children to traverse the content tree hierarchy natively
Templates & Layouts — List available templates and retrieve presentation/layout details (renderings and placeholders) for specific pages
Workflows — Check the current workflow state of any item (e.g., Draft, Review, Published)

The Sitecore MCP Server exposes 9 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 Sitecore to CrewAI via MCP

Follow these steps to integrate the Sitecore 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 9 tools from Sitecore

Why Use CrewAI with the Sitecore MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Sitecore 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

Sitecore + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Sitecore MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Sitecore 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 Sitecore, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Sitecore 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 Sitecore against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Sitecore MCP Tools for CrewAI (9)

These 9 tools become available when you connect Sitecore to CrewAI via MCP:

create_content_item

Requires parent ID, item name, and template ID. Creates a new item in the Sitecore content tree

delete_content_item

This action is irreversible. Permanently deletes a Sitecore item

get_item_details

Retrieves details for a specific Sitecore item

get_item_layout

Retrieves the layout or presentation details for an item

get_workflow_state

Retrieves the current workflow state of an item

list_content_templates

g., "Page", "Article") are available for creating new items. Lists available content templates

list_item_children

Lists the immediate children of a specific item

search_content

Useful for broad discovery across the CMS. Searches for content items in Sitecore

update_content_item

Provide a JSON string of field name/value pairs. Updates the fields of an existing Sitecore item

Example Prompts for Sitecore in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Sitecore immediately.

"Can you check the workflow state for the `/sitecore/content/Home/AboutUs` item?"

"List the immediate children under `/sitecore/content/Home/Products`."

"Create a new item named 'SpringCampaign' using template `5F22...` under parent ID `3D66...`."

Troubleshooting Sitecore MCP Server with CrewAI

Common issues when connecting Sitecore to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Sitecore + CrewAI FAQ

Common questions about integrating Sitecore MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard 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?

Yes. Each agent has its own 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?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using 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)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.