Skip to main content
Glama

DollhouseMCP

by DollhouseMCP
Dockerfile.test-enhancedโ€ข1.95 kB
# Test Dockerfile for Enhanced Capability Index # This builds from develop branch and sets up for MCP testing FROM node:24-slim # Install dependencies # FIX (SonarCloud S7018): Sort packages alphabetically for maintainability RUN apt-get update && apt-get install -y \ curl \ g++ \ jq \ make \ python3 \ && rm -rf /var/lib/apt/lists/* # Create app directory WORKDIR /app # Copy everything from current directory (develop branch) COPY package*.json ./ COPY tsconfig.json ./ # Install all dependencies (including dev for testing) RUN npm ci # Copy source code COPY src/ ./src/ COPY data/ ./data/ COPY scripts/ ./scripts/ # Build the application and create test user # FIX (SonarCloud S7031): Merge consecutive RUN instructions to reduce Docker layers RUN npm run build && \ useradd -m -s /bin/bash testuser && \ mkdir -p /home/testuser/.dollhouse/portfolio && \ mkdir -p /home/testuser/.dollhouse/portfolio/personas && \ mkdir -p /home/testuser/.dollhouse/portfolio/skills && \ mkdir -p /home/testuser/.dollhouse/portfolio/templates && \ mkdir -p /home/testuser/.dollhouse/portfolio/agents && \ mkdir -p /home/testuser/.dollhouse/portfolio/memories && \ chown -R testuser:testuser /home/testuser # Copy test data COPY --chown=testuser:testuser docker/test-data/ /home/testuser/.dollhouse/portfolio/ # Set environment for MCP ENV NODE_ENV=production ENV DOLLHOUSE_PORTFOLIO_PATH=/home/testuser/.dollhouse/portfolio ENV MCP_SERVER_PORT=3000 # Switch to test user USER testuser WORKDIR /home/testuser # Create MCP server configuration RUN echo '{\ "mcpServers": {\ "dollhousemcp": {\ "command": "node",\ "args": ["/app/dist/index.js"],\ "env": {\ "DOLLHOUSE_PORTFOLIO_PATH": "/home/testuser/.dollhouse/portfolio"\ }\ }\ }\ }' > /home/testuser/mcp-config.json # Expose MCP port EXPOSE 3000 # Start the MCP server CMD ["node", "/app/dist/index.js"]

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/DollhouseMCP/DollhouseMCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server