Add Docker Support

.dockerignore

@@ -0,0 +1,20 @@
+# Ignore files and directories not needed in the image
+node_modules
+npm-debug.log
+yarn-debug.log
+yarn-error.log
+.git
+.github
+.vscode
+coverage
+dist
+tests
+docs
+*.md
+!README.md
+.env
+.env.example
+*.log
+.DS_Store
+Dockerfile
+.dockerignore 

Dockerfile

@@ -0,0 +1,44 @@
+# Build stage
+FROM node:20.17.0-slim AS builder
+
+# Set working directory
+WORKDIR /app
+
+# Install pnpm globally
+RUN npm install -g pnpm
+
+# Copy package files first
+COPY package.json pnpm-lock.yaml* ./
+
+# Install all dependencies
+RUN pnpm install --ignore-scripts
+
+# Copy the rest of the project files
+COPY . .
+
+# Use the existing script prepare that already includes build and chmod
+RUN pnpm run prepare
+
+# Production stage - much lighter image
+FROM node:20.17.0-alpine AS production
+
+# Set working directory
+WORKDIR /app
+
+# Install pnpm in production image (only what's needed)
+RUN npm install -g pnpm
+
+# Copy only package.json and pnpm-lock.yaml for installing production dependencies
+COPY package.json pnpm-lock.yaml* ./
+
+# Install only production dependencies
+RUN pnpm install --prod --ignore-scripts
+
+# Copy compiled code from build stage
+COPY --from=builder /app/dist /app/dist
+
+# Expose port defined in environment variables (default 3333)
+EXPOSE 3333
+
+# Command to start the application
+CMD ["pnpm", "start:http"] 

README.md

@@ -28,6 +28,48 @@ This MCP server is specifically designed for use with Cursor. Before responding
 
 Reducing the amount of context provided to the model helps make the AI more accurate and the responses more relevant.
 
+## Docker Setup
+
+### Using Docker Compose
+
+The easiest way to run this server with Docker is using Docker Compose:
+
+```bash
+# Copy the example .env file and add your Figma API key
+cp .env.example .env
+# Edit the .env file with your Figma API key
+nano .env  # or use your preferred text editor
+
+# Start the server with Docker Compose
+docker-compose up -d
+```
+
+The server will be available at http://localhost:3333.
+
+### Using Docker Directly
+
+You can also build and run the Docker container manually:
+
+```bash
+# Build the Docker image
+docker build -t figma-developer-mcp .
+
+# Run the container
+docker run -p 3333:3333 \
+  -e FIGMA_API_KEY=your_figma_api_key_here \
+  -e NODE_ENV=production \
+  --name figma-developer-mcp \
+  figma-developer-mcp
+```
+
+### Configuration Options
+
+The Docker container respects the same environment variables as the regular installation:
+
+- `FIGMA_API_KEY`: Your Figma API key (required)
+- `PORT`: The port to run the server on (default: 3333)
+- `NODE_ENV`: Environment mode (default: production)
+
 ## Installation
 
 ### Running the server quickly with NPM

docker-compose.yml

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+services:
+  figma-developer-mcp:
+    build:
+      context: .
+      dockerfile: Dockerfile
+    container_name: figma-developer-mcp
+    restart: unless-stopped
+    ports:
+      - "3333:3333"
+    environment:
+      - NODE_ENV=production
+      - PORT=3333
+      # We don't include FIGMA_API_KEY here for security reasons, it should be provided when starting the container
+    volumes:
+      # Mount the .env file from the root project directory
+      - ./.env:/app/.env:ro
+    # Alternative commands for different execution modes
+    # command: ["pnpm", "start:cli"]  # For CLI mode
+    # command: ["pnpm", "start:http"] # For HTTP mode (default)