How to Use the Umbraco MCP in CrewAI

Q: How does CrewAI find specific Umbraco documents?

It uses two tools: getdeliverycontentbyid for GUID-based lookups, and getdeliverycontentbypath if you only have the URL slug. Either way, the agent gets the content details right away.

Q: What's the best way to check Umbraco schemas when using CrewAI?

The listdocumenttypes tool is built for this. It returns a list of every document type defined in your Umbraco environment, which guides the rest of the crew’s work.

Q: Can I update content using CrewAI if it's only visible in drafts?

Absolutely. The getmanagementdocument tool accesses the Umbraco Management API specifically for draft and backoffice visibility, allowing your autonomous crew to work with unpublished content.

Q: Does CrewAI handle pagination when listing Umbraco content?

Yes. The listdeliverycontent tool supports both take and skip. This means the crew can reliably process massive amounts of data in batches, preventing timeouts.

Run autonomous Umbraco operations with CrewAI's multi-agent team structure.

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Connect Umbraco MCP to CrewAI

Create your Vinkius account to connect Umbraco to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Umbraco with CrewAI

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Autonomous Document Management via MCP Server

The 'Writer' agent can create new content using `create_cms_document`, passing in a full JSON object. The 'Editor' agent then uses `update_cms_document` to refine fields on that document, executing the change when ready. If a piece of content needs removal, the designated 'Curator' agent handles it by calling `delete_cms_document`. This is an irreversible action built into the autonomous operation.

Researching Umbraco Content with CrewAI

The research team uses `list_delivery_content` and pagination to gather a broad dataset of available content. They can then use `query_delivery_content`, specifying criteria like 'contentType:productPage' to narrow the focus. Furthermore, they can check for specific items using `get_delivery_content_by_id` or by its exact URL path via `get_delivery_content_by_path`.

Browsing Umbraco Assets and Schemas with CrewAI

To build a complete understanding of the site, one agent calls `list_document_types` to get all available schemas. Another agent runs `list_media_assets` to index every image and file in the Umbraco media library. For deep inspection, the team can use `get_management_document`, which pulls content directly from Umbraco’s backoffice/draft system.

Setup guide

Set up Umbraco MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Umbraco tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Umbraco Analyst",
    goal="Access and analyze Umbraco data via MCP.",
    backstory="Expert analyst with direct Umbraco access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Umbraco transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Umbraco Analyst",
        goal="Access and analyze Umbraco data via MCP.",
        backstory="Expert analyst with direct Umbraco access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Umbraco transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Umbraco. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Umbraco MCP in CrewAI

It uses two tools: `get_delivery_content_by_id` for GUID-based lookups, and `get_delivery_content_by_path` if you only have the URL slug. Either way, the agent gets the content details right away.

The `list_document_types` tool is built for this. It returns a list of every document type defined in your Umbraco environment, which guides the rest of the crew’s work.

Absolutely. The `get_management_document` tool accesses the Umbraco Management API specifically for draft and backoffice visibility, allowing your autonomous crew to work with unpublished content.

Yes. The `list_delivery_content` tool supports both `take` and `skip`. This means the crew can reliably process massive amounts of data in batches, preventing timeouts.

Since this MCP Server touches content schemas and media assets, you must ensure the credentials provided to the crew only allow access to the specific document IDs or paths needed for the operation.

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