Integrate Storyblok with Claude, Cursor, Chatbots & AI Agents MCP Server

Q: How does the AI validate JSON payloads before creating content?

Instruct the agent to call listcomponents first. It returns the exact field names and types each component expects, so the AI builds a compliant JSON payload before calling createcontent_story.

Connect your AI to Storyblok. Manage content spaces, craft data stories, and orchestrate headless CMS elements effortlessly.

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Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

create

Create content story on Storyblok

Provide a name, slug, and content JSON. Creates a new story in a Storyblok space

delete

Delete content story on Storyblok

This action is irreversible. Permanently deletes a Storyblok story

get

Get story details on Storyblok

Retrieves details for a specific content story

list

List assets on Storyblok

Lists media assets in a Storyblok space

list

List components on Storyblok

Lists available content components

list

List space users on Storyblok

Lists all users with access to a specific space

list

List spaces on Storyblok

Lists all accessible Storyblok spaces

list

List stories on Storyblok

Requires a space ID. Lists content stories within a specific space

update

Update content story on Storyblok

Requires space and story IDs. Updates fields of an existing Storyblok story

Security & Code Integrity Audit

Every tool in the Storyblok MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Can I set different limits for each virtual assistant on my team?

Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.

How does the AI validate JSON payloads before creating content?

Instruct the agent to call list_components first. It returns the exact field names and types each component expects, so the AI builds a compliant JSON payload before calling create_content_story.

Can I audit what my AI agents are doing with this integration?

Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.

What if the AI ends up reading customer data or confidential information?

We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.

Storyblok Capabilities for AI Assistants

Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the Storyblok MCP server to manage operations across the following domains.

content modeling & AI Execution

Connect Storyblok to provide your chatbots with content modeling capabilities. The integration manages the backend execution for developer tools workflows.

Next-Gen visual editor Automation

Use the Storyblok MCP to manage visual editor requests. Models like Claude Code utilize this connection to perform reliable developer tools updates.