# marp-mcp

> marp-mcp — masaki39-marp-mcp. Use this tool when you need to programmatically create and edit Marp slide decks, leveraging structured tools to build and manage presentations. It solves problems of automated slide deck generation and collaborative editing, accepting inputs via API and outputting updated deck files. Ideal for use cases involving version-controlled presentations, such as those managed through git.

Canonical page: https://skillsregistry.net/skills/masaki39-marp-mcp  
JSON: https://api.skillsregistry.net/v1/skills/masaki39-marp-mcp

## Description

MCP server that lets AI agents build and edit Marp slide decks via structured tools.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/masaki39/marp-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": "masaki39-marp-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/masaki39-marp-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/masaki39-marp-mcp/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