Magnolia CMS MCP. Control your content structure and data delivery.
Magnolia (Enterprise Headless CMS) connects your AI agent directly to an enterprise JCR repository. Control complex content structures, audit component schemas, and manage delivery layer endpoints using natural conversation. Provision nodes, execute workspace commands, and perform deep structural queries without manual REST calls.
Give Claude and any AI agent real-world access
Examine template schemas and discover all active JCR workspaces to map out where content lives.
Create, delete, copy, or update content nodes in the repository using simple commands instead of complex payloads.
Execute deep queries across delivery endpoints to retrieve pure JSON mappings and identify specific property values.
Trigger platform commands, such as validation checks or content publishing cycles, directly from your agent.
Ask an AI about this
Waiting for input…
What AI agents can do with Magnolia (Enterprise Headless CMS) 10 Tools
Use these ten tools to orchestrate every aspect of your Magnolia content structure, from querying specific node data to executing global workspace commands.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Magnolia (Enterprise Headless CMS) MCPMg.copy Delivery Node
Copies content nodes while verifying the structural logic that governs data delivery.
Mg.create Cms Node
Creates new, highly-available content nodes and writes custom JSON payload models...
Mg.wipe Cms Node
Irreversibly deletes specified content nodes, permanently dropping all associated...
Mg.execute Workspace Command
Runs automated validation checks and platform logic across your entire configured...
Mg.get Delivery Children
Extracts properties that drive the nesting structure of content branches.
Mg.get Delivery Node
Retrieves pure JSON mappings for any given endpoint path from the JCR tree.
Mg.get Template Schema
Lists all attached structured rules, showing exactly which fields a content template requires.
Mg.list Jcr Workspaces
Identifies and lists all active JCR workspaces spanning different context domains.
Mg.query Delivery Nodes
Searches through cloud logging to trace specific content payload criteria.
Mg.patch Cms Node
Updates existing nodes, substituting or modifying draft document schemas globally.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Magnolia (Enterprise Headless CMS), then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Magnolia CMS. 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.
VINKIUS CLOUD
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on each call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
The headache of manual CMS data audits
Right now, checking how a piece of content is structured means jumping between developer consoles, writing complex query parameters for every property you want to see, and manually cross-referencing endpoints to ensure the data flow works. You spend half your time just figuring out what fields are available instead of building anything.
With this MCP, you treat your CMS like a conversation partner. Instead of juggling console tabs and boilerplate code, you simply ask your agent about the structure—whether it's listing active workspaces or defining component requirements—and get a clean answer back.
The Magnolia (Enterprise Headless CMS) MCP delivers structural control
You stop spending time on tedious tasks like manually running `mg.get_delivery_children` to check for nested properties or writing repetitive commands just to see which nodes exist in a given scope. The agent handles the deep repository logic.
What's different now is that you get immediate, conversational insight into your entire content graph. You control it at the architectural level, not just the presentation layer.
What Magnolia CMS MCP does for your AI
Managing a large-scale headless CMS is hard enough without constantly writing boilerplate API requests. This MCP lets you talk to your Magnolia instance like it's a database of pure content structure. You can ask your agent to list active workspaces or find the JSON mapping for a specific delivery endpoint, all through conversation.
Need to audit what fields a template expects? Just ask, and the system extracts the component definitions. It’s true structural control over your JCR repository, allowing you to provision new nodes or even trigger publishing workflows just by chatting with it. If managing complex content requires deep visibility into how your site builds its pages, this MCP is essential for any developer working across the Vinkius catalog.
019d75cb-fb77-705d-9fba-69e5815c4c2d How to set up Magnolia CMS MCP
The bottom line is you get full, conversation-based access to your enterprise CMS content layer without ever touching an API playground.
Subscribe to this MCP and provide your Magnolia Host details, port number, and basic authentication credentials.
Connect your preferred AI client (Claude, Cursor, etc.) to the Vinkius catalog using the provided connection string.
Start by asking your agent a question like, 'List all active JCR workspaces' or 'Show me the schema for this template,' and execute commands naturally.
Who uses Magnolia CMS MCP
This MCP is for the senior technical staff who spend their days debugging complex data flows and wrestling with deep repository structures. If you're tired of manually running REST calls just to figure out what a content node contains, this is for you.
You use it to test delivery API results and verify JCR properties by talking to your agent instead of writing repetitive manual REST tools.
You rely on this MCP to audit component schemas and manage content trees across multiple, complex site environments efficiently.
You monitor workspace health and run automated publishing commands across your entire Magnolia instance in a single conversation flow.
Benefits of connecting Magnolia CMS MCP
Stop writing boilerplate REST calls. Just ask the agent to run mg.get_delivery_node to get the pure JSON mapping for any endpoint path, instantly verifying the data structure you need.
Avoid manual schema audits. Use mg.get_template_schema to automatically extract all required component and page template definitions, saving hours of console clicking.
Manage content lifecycles without risk. You can use mg.execute_workspace_command to trigger publishing workflows or validation checks across the entire system in one go.
Never lose context visibility again. Use mg.list_jcr_workspaces to see every active data domain, from your website content to your DAM assets.
Need to move content? You can use mg.copy_delivery_node to copy nodes while the system verifies that all structural matching and delivery logic remains intact.
Magnolia CMS MCP use cases
Debugging a broken page layout
A developer notices a page is missing data. Instead of manually querying multiple endpoints, they ask their agent to run mg.get_delivery_node for the exact path and get the JSON mapping. The response immediately shows that a required property field is null, pinpointing the source issue.
Setting up a new content type
A content architect needs to know what fields are available for a blog post. They ask their agent to use mg.get_template_schema. The system returns a detailed list of required fields and types, allowing them to build the node correctly on the first try.
Publishing content across environments
A digital ops team needs to move approved draft content live. They instruct their agent to use mg.execute_workspace_command and confirm that the publishing workflow completes successfully, moving content through its lifecycle automatically.
Identifying orphaned assets
A developer suspects some nodes are pointing to outdated data structures. They ask their agent to query using mg.query_delivery_nodes to trace explicit payload criteria against cloud logs, finding the exact failing dependency.
Magnolia CMS MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Using generic REST clients
Manually hitting endpoints in a browser or an API client to check for a node's properties. This requires guessing paths and manually interpreting JSON responses.
Use the MCP agent directly. Tell it, 'Get the delivery node for path X.' The mg.get_delivery_node tool handles the complex JCR logic so you just get the clean, readable JSON mapping.
Writing custom scripts for schema checks
A developer has to write a multi-step script that calls multiple endpoints and then compares schemas manually to see what fields are available on a template.
The agent handles this with one command: mg.get_template_schema. It returns the complete, structured ruleset in text format immediately.
Ignoring workspace separation
A developer tries to update content but isn't sure if they are working on the staging site or the live production environment.
Use mg.list_jcr_workspaces first. This identifies all active workspaces (website, dam, etc.), confirming which context domain you need before making any changes.
When to use Magnolia CMS MCP
Use this MCP if your work requires deep, structural interaction with the JCR repository—meaning you aren't just reading simple content; you are managing how that content is structured, delivered, and published. This tool is mandatory when you need to audit component schemas (mg.get_template_schema), verify complex delivery paths (mg.get_delivery_node), or manage platform workflows (mg.execute_workspace_command). Don't use this if your only task is reading a single, simple article by its public URL; in that case, a standard content API client is enough. You need this MCP when you are fixing the system or auditing the structure, not just consuming the final output.
Frequently asked questions about Magnolia CMS MCP
How do I check all my Magnolia workspaces using the Magnolia (Enterprise Headless CMS) MCP? +
Use mg.list_jcr_workspaces. This tool immediately lists every active JCR workspace, letting you know exactly where your website content, DAM assets, and system configurations are stored.
Can I use the Magnolia (Enterprise Headless CMS) MCP to create new nodes? +
Yes. You can provision new, structured content using mg.create_cms_node. This allows you to write complex JSON payloads natively without needing a full API client setup.
What is the best way to find out what fields a template needs? +
Run mg.get_template_schema. This tool enumerates all attached structured rules, giving you an explicit list of required fields and properties for any given component or page template.
Does the Magnolia (Enterprise Headless CMS) MCP support content publishing? +
Yes. You can use mg.execute_workspace_command to trigger automated validation checks or initiate full publishing workflows, moving content through its lifecycle with a single command.
How do I get the data for a specific page path? +
Use mg.get_delivery_node. You provide the endpoint and path, and the tool securely retrieves the pure JSON mapping from the JCR tree for that precise location.
Can I navigate the JCR tree structure through my agent? +
Yes. Use the mg.get_delivery_children tool by providing an endpoint and parent path. Your agent will retrieve exclusively the hierarchical descendants, allowing you to understand the branch nesting and property distribution accurately.
How do I audit the required fields for a specific Magnolia component? +
The mg.get_template_schema tool parses the YAML definitions of your components. Your agent will list exactly what fields and scalar parameters the template respects, making it easy to verify your content model without opening the code.
Can my agent trigger a content publication command? +
Absolutely. Use the mg.execute_workspace_command tool and specify 'activate' or 'publish' as the command name. Your agent will dispatch the JSON payload to Magnolia's command system to transition your content across lifecycle states.