# Storyblok MCP

> Use this tool when you need to manage and create Storyblok components efficiently, solving the problem of tedious manual setup and updating of components. It takes natural language descriptions as input and outputs updated or newly created components with various field types. Ideal for streamlining content management workflows and improving productivity in Storyblok environments.

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

## Description

Enables to manage Storyblok components through natural language descriptions, including creating and updating components with various field types.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iu4b53e0pm)
- **Repository:** <https://github.com/harlley/storyblok-mcp>

## 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": "harlley-storyblok-mcp"
    }
  }
}
```

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

---
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