# Penpot MCP Server

> Use this tool when you need to integrate large language models (LLMs) with design elements in Penpot, enabling querying, transformation, and creation of designs via the Model Context Protocol and Plugin API. It solves problems of automating design workflows and generating design content using LLMs. The tool accepts LLM queries as input and outputs transformed or created design elements in Penpot.

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

## Description

Enables LLMs to query, transform, and create design elements in Penpot via the Model Context Protocol and Penpot's Plugin API.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

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

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