filesystem vs penpot-mcp-server
Side-by-side comparison to help you pick between these two MCP servers.
filesystem by modelcontextprotocol | penpot-mcp-server by zcube | |
|---|---|---|
| Stars | ★ 85,748 | ★ 16 |
| 30d uses | — | — |
| Score | 77 | 39 |
| Official | ✓ | — |
| Categories | File SystemDeveloper ToolsProductivity | Developer ToolsAI / LLM ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | 6 mo ago |
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
penpot-mcp-server · Summary
Penpot MCP server connects AI assistants to Penpot design platform with comprehensive design manipulation capabilities.
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-server · Use cases
- AI design assistants creating wireframes and mockups based on natural language descriptions
- Automated design systems maintenance through component updates across multiple files
- Design collaboration with AI-powered commenting and feedback integration
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-server · Install
# Install globally
npm install -g @zcubekr/penpot-mcp-server
# Run the server
penpot-mcp-serverWith Claude Desktop:
{
"mcpServers": {
"penpot": {
"command": "node",
"args": ["/path/to/penpot-mcp-server/dist/index.js"],
"env": {
"PENPOT_API_URL": "https://design.penpot.app",
"PENPOT_ACCESS_TOKEN": "your-access-token"
}
}
}
}Environment variables required:
PENPOT_API_URL: Your Penpot instance URLPENPOT_ACCESS_TOKEN: Your Penpot access token