mcp server gestartet

.env

@@ -0,0 +1,10 @@
+# ✅ Penpot Login-Daten (von deinem Penpot-Server)
+PENPOT_USERNAME=dein_benutzername
+PENPOT_PASSWORD=dein_passwort
+
+# ✅ Server-Konfiguration für den MCP Server
+PORT=5000
+DEBUG=true
+
+# ✅ API URL deiner lokalen Penpot-Instanz
+PENPOT_API_URL=http://192.168.10.102:9010/api

.gitignore

@@ -30,7 +30,7 @@ env/
 .python-version
 
 # Environment variables
-.env
+#.env
 
 # IDE files
 .idea/

README.md

@@ -1,5 +1,6 @@
 # Penpot MCP Server 🎨🤖
 
+<!-- git test -->
 <p align="center">
   <img src="images/penpot-mcp.png" alt="Penpot MCP Logo" width="400"/>
 </p>
@@ -47,6 +48,7 @@ Check out our demo video to see Penpot MCP in action:
 ## ✨ Features
 
 ### 🔌 Core Capabilities
+
 -   **MCP Protocol Implementation**: Full compliance with Model Context Protocol standards
 -   **Real-time Design Access**: Direct integration with Penpot's API for live design data
 -   **Component Analysis**: AI-powered analysis of design components and layouts
@@ -54,12 +56,14 @@ Check out our demo video to see Penpot MCP in action:
 -   **Design Validation**: Automated design system compliance checking
 
 ### 🛠️ Developer Tools
+
 -   **Command-line Utilities**: Powerful CLI tools for design file analysis and validation
 -   **Python SDK**: Comprehensive Python library for custom integrations
 -   **REST API**: HTTP endpoints for web application integration
 -   **Extensible Architecture**: Plugin system for custom AI workflows
 
 ### 🎨 AI Integration Features
+
 -   **Claude Desktop & Cursor Integration**: Native support for Claude AI assistant in both Claude Desktop and Cursor IDE
 -   **Design Context Sharing**: Provide design context to AI models for better responses
 -   **Visual Component Recognition**: AI can "see" and understand design components
@@ -69,18 +73,21 @@ Check out our demo video to see Penpot MCP in action:
 ## 💡 Use Cases
 
 ### For Designers
+
 -   **Design Review Automation**: Get instant AI feedback on accessibility, usability, and design principles
 -   **Component Documentation**: Automatically generate documentation for design systems
 -   **Design Consistency Checks**: Ensure brand guidelines compliance across projects
 -   **Asset Organization**: AI-powered tagging and categorization of design components
 
 ### For Developers
+
 -   **Design-to-Code Workflows**: Bridge the gap between design and development with AI assistance
 -   **API Integration**: Programmatic access to design data for custom tools and workflows
 -   **Automated Testing**: Generate visual regression tests from design specifications
 -   **Design System Sync**: Keep design tokens and code components in sync
 
 ### For Product Teams
+
 -   **Design Analytics**: Track design system adoption and component usage
 -   **Collaboration Enhancement**: AI-powered design reviews and feedback collection
 -   **Workflow Optimization**: Automate repetitive design operations and approvals
@@ -152,6 +159,7 @@ DEBUG=true
 ```
 
 > **⚠️ CloudFlare Protection Notice**: The Penpot cloud site (penpot.app) uses CloudFlare protection that may occasionally block API requests. If you encounter authentication errors or blocked requests:
+>
 > 1. Open your web browser and navigate to [https://design.penpot.app](https://design.penpot.app)
 > 2. Log in to your Penpot account
 > 3. Complete any CloudFlare human verification challenges if prompted
@@ -246,6 +254,7 @@ penpot-client
 ## MCP Resources & Tools
 
 ### Resources
+
 -   `server://info` - Server status and information
 -   `penpot://schema` - Penpot API schema as JSON
 -   `penpot://tree-schema` - Penpot object tree schema as JSON
@@ -253,6 +262,7 @@ penpot-client
 -   `penpot://cached-files` - List of cached Penpot files
 
 ### Tools
+
 -   `list_projects` - List all Penpot projects
 -   `get_project_files` - Get files for a specific project
 -   `get_file` - Retrieve a Penpot file by its ID and cache it
@@ -291,6 +301,7 @@ Add the following configuration to your Claude Desktop config file (`~/Library/A
 Cursor IDE supports MCP servers through its AI integration features. To configure Penpot MCP with Cursor:
 
 1. **Install the MCP server** (if not already installed):
+
     ```bash
     pip install penpot-mcp
     ```
@@ -314,6 +325,7 @@ Cursor IDE supports MCP servers through its AI integration features. To configur
     ```
 
 3. **Alternative: Use environment variables** by creating a `.env` file in your project root:
+
     ```bash
     PENPOT_API_URL=https://design.penpot.app/api
     PENPOT_USERNAME=your_penpot_username
@@ -321,6 +333,7 @@ Cursor IDE supports MCP servers through its AI integration features. To configur
     ```
 
 4. **Start the MCP server** in your project:
+
     ```bash
     # In your project directory
     penpot-mcp
@@ -335,6 +348,7 @@ Cursor IDE supports MCP servers through its AI integration features. To configur
 ### Key Integration Features
 
 Both Claude Desktop and Cursor integration provide:
+
 -   **Direct access** to Penpot projects and files
 -   **Visual component analysis** with AI-powered insights
 -   **Design export capabilities** for assets and components