mcp server gestartet

ci: add permissions for creating releases in publish workflow

.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

.github/workflows/ci.yml

@@ -5,6 +5,7 @@ on:
     branches: [ main, develop ]
   push:
     branches: [ main, develop ]
+  workflow_call:
 
 jobs:
   test:
@@ -40,7 +41,7 @@ jobs:
         uv run pytest --cov=penpot_mcp tests/ --cov-report=xml --cov-report=term-missing
     
     - name: Upload coverage to Codecov
-      uses: codecov/codecov-action@v4
+      uses: codecov/codecov-action@v5
       if: matrix.python-version == '3.12'
       with:
         file: ./coverage.xml

.github/workflows/publish.yml

@@ -20,6 +20,8 @@ jobs:
     needs: check-tests
     runs-on: ubuntu-latest
     if: github.ref == 'refs/heads/main' && github.event_name == 'push'
+    permissions:
+      contents: write  # Required for creating releases
     
     steps:
     - uses: actions/checkout@v4
@@ -47,8 +49,9 @@ jobs:
         CURRENT_VERSION=$(python -c "import penpot_mcp; print(penpot_mcp.__version__)")
         echo "current_version=$CURRENT_VERSION" >> $GITHUB_OUTPUT
         
-        # Check if this version already exists on PyPI
-        if pip index versions penpot-mcp | grep -q "$CURRENT_VERSION"; then
+        # Check if this version already exists on PyPI using the JSON API
+        HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" "https://pypi.org/pypi/penpot-mcp/$CURRENT_VERSION/json")
+        if [ "$HTTP_STATUS" = "200" ]; then
           echo "version_exists=true" >> $GITHUB_OUTPUT
           echo "Version $CURRENT_VERSION already exists on PyPI"
         else
@@ -119,12 +122,10 @@ jobs:
     
     - name: Create GitHub Release
       if: steps.version-check.outputs.version_exists == 'false'
-      uses: actions/create-release@v1
-      env:
-        GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+      uses: softprops/action-gh-release@v2
       with:
         tag_name: v${{ steps.version-check.outputs.current_version }}
-        release_name: Release v${{ steps.version-check.outputs.current_version }}
+        name: Release v${{ steps.version-check.outputs.current_version }}
         body: |
           ## Changes in v${{ steps.version-check.outputs.current_version }}
           
@@ -141,20 +142,10 @@ jobs:
           See commit history for detailed changes.
           
           **Full Changelog**: https://github.com/montevive/penpot-mcp/compare/v${{ steps.version-check.outputs.current_version }}...HEAD
+        files: dist/*
         draft: false
         prerelease: false
     
-    - name: Upload Release Assets
-      if: steps.version-check.outputs.version_exists == 'false'
-      uses: actions/upload-release-asset@v1
-      env:
-        GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-      with:
-        upload_url: ${{ steps.create-release.outputs.upload_url }}
-        asset_path: dist/
-        asset_name: penpot-mcp-${{ steps.version-check.outputs.current_version }}-dist.zip
-        asset_content_type: application/zip
-    
     - name: Notify on success
       if: steps.version-check.outputs.version_exists == 'false'
       run: |

.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>
@@ -32,11 +33,11 @@
 
 ### 🎯 Key Benefits
 
-- **🤖 AI-Native Design Analysis**: Let Claude AI analyze your UI/UX designs, provide feedback, and suggest improvements
-- **⚡ Automated Design Workflows**: Streamline repetitive design tasks with AI-powered automation
-- **🔍 Intelligent Design Search**: Find design components and patterns across your projects using natural language
-- **📊 Design System Management**: Automatically document and maintain design systems with AI assistance
-- **🎨 Cross-Platform Integration**: Works with any MCP-compatible AI assistant (Claude Desktop, Cursor IDE, etc.)
+-   **🤖 AI-Native Design Analysis**: Let Claude AI analyze your UI/UX designs, provide feedback, and suggest improvements
+-   **⚡ Automated Design Workflows**: Streamline repetitive design tasks with AI-powered automation
+-   **🔍 Intelligent Design Search**: Find design components and patterns across your projects using natural language
+-   **📊 Design System Management**: Automatically document and maintain design systems with AI assistance
+-   **🎨 Cross-Platform Integration**: Works with any MCP-compatible AI assistant (Claude Desktop, Cursor IDE, etc.)
 
 ## 🎥 Demo Video
 
@@ -47,59 +48,65 @@ 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
-- **Export Automation**: Programmatic export of design assets in multiple formats
-- **Design Validation**: Automated design system compliance checking
+
+-   **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
+-   **Export Automation**: Programmatic export of design assets in multiple formats
+-   **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
+
+-   **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
-- **Natural Language Queries**: Ask questions about your designs in plain English
-- **IDE Integration**: Seamless integration with modern development environments
+
+-   **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
+-   **Natural Language Queries**: Ask questions about your designs in plain English
+-   **IDE Integration**: Seamless integration with modern development environments
 
 ## 💡 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
+
+-   **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
+
+-   **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
-- **Cross-tool Integration**: Connect Penpot with other tools in your design workflow
+
+-   **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
+-   **Cross-tool Integration**: Connect Penpot with other tools in your design workflow
 
 ## 🚀 Quick Start
 
 ### Prerequisites
 
-- **Python 3.12+** (Latest Python recommended for optimal performance)
-- **Penpot Account** ([Sign up free](https://penpot.app/))
-- **Claude Desktop or Cursor IDE** (Optional, for AI integration)
+-   **Python 3.12+** (Latest Python recommended for optimal performance)
+-   **Penpot Account** ([Sign up free](https://penpot.app/))
+-   **Claude Desktop or Cursor IDE** (Optional, for AI integration)
 
 ## Installation
 
 ### Prerequisites
 
-- Python 3.12+
-- Penpot account credentials
+-   Python 3.12+
+-   Penpot account credentials
 
 ### Installation
 
@@ -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
@@ -246,19 +254,21 @@ 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
-- `rendered-component://{component_id}` - Rendered component images
-- `penpot://cached-files` - List of cached Penpot files
+
+-   `server://info` - Server status and information
+-   `penpot://schema` - Penpot API schema as JSON
+-   `penpot://tree-schema` - Penpot object tree schema as JSON
+-   `rendered-component://{component_id}` - Rendered component images
+-   `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
-- `export_object` - Export a Penpot object as an image
-- `get_object_tree` - Get the object tree structure for a Penpot object
-- `search_object` - Search for objects within a Penpot file by name
+
+-   `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
+-   `export_object` - Export a Penpot object as an image
+-   `get_object_tree` - Get the object tree structure for a Penpot object
+-   `search_object` - Search for objects within a Penpot file by name
 
 ## AI Integration
 
@@ -272,17 +282,17 @@ Add the following configuration to your Claude Desktop config file (`~/Library/A
 
 ```json
 {
-  "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"
-      }
+    "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"
+            }
+        }
     }
-  }
 }
 ```
 
@@ -291,56 +301,60 @@ 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
-   ```
+
+    ```bash
+    pip install penpot-mcp
+    ```
 
 2. **Configure Cursor settings** by adding the MCP server to your Cursor configuration. Open Cursor settings and add:
 
-   ```json
-   {
-     "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"
-         }
-       }
-     }
-   }
-   ```
+    ```json
+    {
+        "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"
+                }
+            }
+        }
+    }
+    ```
 
 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
-   PENPOT_PASSWORD=your_penpot_password
-   ```
+
+    ```bash
+    PENPOT_API_URL=https://design.penpot.app/api
+    PENPOT_USERNAME=your_penpot_username
+    PENPOT_PASSWORD=your_penpot_password
+    ```
 
 4. **Start the MCP server** in your project:
-   ```bash
-   # In your project directory
-   penpot-mcp
-   ```
+
+    ```bash
+    # In your project directory
+    penpot-mcp
+    ```
 
 5. **Use in Cursor**: Once configured, you can interact with your Penpot designs directly in Cursor by asking questions like:
-   - "Show me all projects in my Penpot account"
-   - "Analyze the design components in project X"
-   - "Export the main button component as an image"
-   - "What design patterns are used in this file?"
+    - "Show me all projects in my Penpot account"
+    - "Analyze the design components in project X"
+    - "Export the main button component as an image"
+    - "What design patterns are used in this file?"
 
 ### 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
-- **Natural language queries** about your design files
-- **Real-time design feedback** and suggestions
-- **Design system documentation** generation
+
+-   **Direct access** to Penpot projects and files
+-   **Visual component analysis** with AI-powered insights
+-   **Design export capabilities** for assets and components
+-   **Natural language queries** about your design files
+-   **Real-time design feedback** and suggestions
+-   **Design system documentation** generation
 
 ## Package Structure
 
@@ -417,5 +431,5 @@ This project is licensed under the MIT License - see the [LICENSE](LICENSE) file
 
 ## Acknowledgments
 
-- [Penpot](https://penpot.app/) - The open-source design and prototyping platform
-- [Model Context Protocol](https://modelcontextprotocol.io) - The standardized protocol for AI model context
+-   [Penpot](https://penpot.app/) - The open-source design and prototyping platform
+-   [Model Context Protocol](https://modelcontextprotocol.io) - The standardized protocol for AI model context

penpot_mcp/__init__.py

@@ -1,5 +1,5 @@
 """Penpot MCP Server - Model Context Protocol server for Penpot."""
 
-__version__ = "0.1.1"
+__version__ = "0.1.2"
 __author__ = "Montevive AI Team"
 __email__ = "info@montevive.ai"