# Strapi CMS

> Use this tool when you need to integrate AI assistants with content management systems, enabling automated content workflows and operations. It solves problems related to content creation, management, and retrieval, supporting advanced filtering, pagination, and media uploads. The Strapi CMS tool accepts content entries and queries as inputs and outputs managed content via the MCP protocol, ideal for headless CMS integration and AI-assisted content management.

Canonical page: https://skillsregistry.net/skills/l33tdawg-strapi-cms  
JSON: https://api.skillsregistry.net/v1/skills/l33tdawg-strapi-cms

## Description

This MCP server integrates with Strapi CMS, providing a bridge between AI assistants and content management through the MCP protocol. Built with TypeScript, it enables creating, reading, updating, and deleting content entries in Strapi with support for advanced filtering, pagination, sorting, and media uploads. The implementation exposes content types as resources via URI patterns and offers tools for comprehensive content management, making it ideal for AI-assisted content workflows, headless CMS integration, and automated content operations.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/l33tdawg-strapi-cms)
- **Repository:** <https://github.com/l33tdawg/strapi-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": "l33tdawg-strapi-cms"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/l33tdawg-strapi-cms` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/l33tdawg-strapi-cms/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