# Storyblok

> Use this tool when you need to integrate Storyblok CMS with AI agents to manage content, assets, and workflows. It solves problems related to automated content publishing, headless CMS integrations, and building AI assistants that require full platform control. The tool provides 80+ operations through the Storyblok Management API, accepting inputs such as content and asset data, and producing outputs like managed workflows and translated stories.

Canonical page: https://skillsregistry.net/skills/kiran1689-storyblok  
JSON: https://api.skillsregistry.net/v1/skills/kiran1689-storyblok

## Description

This MCP server provides complete Storyblok CMS integration, enabling AI agents to manage content, assets, and workflows through the Storyblok Management API. Built by Kiran Naragund using Python with FastMCP and httpx, it offers 80+ tools covering all major Storyblok operations including story CRUD with bulk operations and AI translation, component management with version control and usage tracking, asset handling with folder organization and upload workflows, workflow and approval management, user collaboration, webhooks, extensions, and space administration. The implementation features comprehensive error handling with detailed API context, modular architecture with separate tool modules, and production-ready configuration management, making it valuable for automated content publishing workflows, headless CMS integrations, and building AI assistants that need full Storyblok platform control without manual interface access.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kiran1689-storyblok)
- **Repository:** <https://github.com/kiran1689/storyblok-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kiran1689-storyblok"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kiran1689-storyblok` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kiran1689-storyblok/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt