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Storyblok MCP Server

MCP Server

AI-Enabled Storyblok Management via Model Context Protocol

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About

The Storyblok MCP Server empowers AI assistants to fully manage Storyblok spaces, enabling CRUD operations on stories, components, assets, workflows, and more through the Model Context Protocol for seamless integration.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Storyblok MCP Server in Action

Overview

The Storyblok MCP Server bridges the gap between AI assistants and the full breadth of a Storyblok content ecosystem. By exposing every major resource—stories, components, assets, datasources, tags, releases, workflows and more—as first‑class MCP tools, it allows an AI to create, read, update, or delete content directly within a Storyblok space. This eliminates the need for developers to write custom API wrappers or manually manage authentication, letting the assistant act as a seamless content editor.

At its core, the server implements CRUD operations for each Storyblok entity. An AI can ask to “create a new landing‑page story with a hero component” or “update the description of asset X.” The server translates these high‑level requests into authenticated calls to Storyblok’s Management API, handling pagination, bulk operations, and error recovery automatically. The result is a single point of integration that keeps developers free from boilerplate code while ensuring secure, authenticated access through environment‑based tokens.

Key capabilities include:

  • Modular Tooling: Each resource is encapsulated in its own tool module, making it trivial to add or modify functionality without touching the core server.
  • Meta Tool: An on‑the‑fly discovery tool lists all available resources and their descriptions, enabling dynamic prompting and introspection.
  • Bulk Operations: Publish, update, or delete multiple stories or assets in one call, dramatically reducing round‑trips for large content migrations.
  • Async & Fast: Built on and , the server processes requests concurrently, ensuring low latency even under heavy load.

Developers can integrate this MCP server into existing AI workflows by simply pointing their assistant to the server’s endpoint. The assistant can then orchestrate content pipelines—such as auto‑generating localized stories, syncing assets from external repositories, or triggering release workflows—all through natural language commands. Marketers benefit from rapid content iteration, while developers enjoy a unified API surface that abstracts away the intricacies of Storyblok’s REST endpoints.

In summary, the Storyblok MCP Server transforms a static CMS into an interactive AI‑powered workspace. It empowers assistants to become content editors, automates repetitive tasks, and provides a clean, extensible interface that scales with your Storyblok projects.