# Skema MCP Server

> Use this tool when you need to integrate AI-powered natural language interactions with your content management system, enabling clients to manage and query data seamlessly. The Skema MCP Server solves problems related to data accessibility and manipulation, providing a user-friendly interface for reading, creating, updating, and searching collections and items. It accepts natural language inputs and outputs relevant data, making it ideal for use cases that require intuitive and efficient data management.

Canonical page: https://skillsregistry.net/skills/skemacms-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/skemacms-mcp-server

## Description

The official Model Context Protocol server for Skema CMS, enabling AI clients to interact with and manage CMS data. It provides tools for reading, creating, updating, and searching collections and items through natural language.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-06-15

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/of2sj6k9dn)
- **Repository:** <https://github.com/skemacms/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": "skemacms-mcp-server"
    }
  }
}
```

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