filesystem vs penpot-mcp
Side-by-side comparison to help you pick between these two MCP servers.
filesystem by modelcontextprotocol | penpot-mcp by montevive | |
|---|---|---|
| Stars | ★ 85,748 | ★ 228 |
| 30d uses | — | — |
| Score | 77 | 48 |
| Official | ✓ | — |
| Categories | File SystemDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsProductivity |
| Language | TypeScript | Python |
| Last commit | this month | 7 mo ago |
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
penpot-mcp · Summary
Penpot MCP server integrates AI assistants like Claude with Penpot designs for automated design workflows and analysis.
filesystem · Use cases
- Enable AI models to read and write project files during development
- Allow Claude or other MCP clients to browse and analyze codebases
- Provide secure sandboxed access to specific directories for content generation
penpot-mcp · Use cases
- Automate design reviews and feedback collection with AI
- Generate design system documentation and consistency checks
- Streamline design-to-code workflows with AI assistance
filesystem · Install
Installation
Using NPX
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/allowed/directory"
]
}
}
}Using Docker
{
"mcpServers": {
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
"mcp/filesystem",
"/projects"
]
}
}
}VS Code Extension
Click the installation buttons in the README to install directly in VS Code.
penpot-mcp · Install
Installation
Prerequisites
- Python 3.12+
- Penpot account credentials
Install from PyPI
pip install penpot-mcpConfiguration
Create a .env file with your Penpot credentials:
PENPOT_API_URL=https://design.penpot.app/api
PENPOT_USERNAME=your_penpot_username
PENPOT_PASSWORD=your_penpot_password
PORT=5000
DEBUG=trueClaude Desktop Integration
Add to your Claude Desktop config file:
{
"mcpServers": {
"penpot": {
"command": "uvx",
"args": ["penpot-mcp"],
"env": {
"PENPOT_API_URL": "https://design.penpot.app/api",
"PENPOT_USERNAME": "your_penpot_username",
"PENPOT_PASSWORD": "your_penpot_password"
}
}
}
}