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{"repo": "angry-robot-deals/ace-mcp", "files": {"DOCKERFILE_COMPLIANCE.md": {"ad0682ebe909d9eeea36d13133d8e60fce9a0d4f": {"t": 1785746994.7774553, "n": 10675, "h": "80ada8977c869b15", "c": "# Dockerfile Compliance with Docker MCP Registry and Cursor AI Catalog Requirements\n\n## ✅ Compliance Check\n\n### Current Configuration\n\n**Dockerfile Structure:**\n- ✅ Multi-stage build (builder + production)\n- ✅ Non-root user (app)\n- ✅ Minimal base image (node:lts-slim)\n- ✅ Proper layer caching\n- ✅ CMD for MCP server\n- ✅ HEALTHCHECK for HTTP endpoints\n- ✅ Port exposure (34301) for health checks\n\n**Command Configuration:**\n```dockerfile\nCMD [\"node\", \"dist/index.js\"]\n```\n\n**Transport Type:**\n- ✅ **STDIO Transport**: Primary MCP communication via `StdioServerTransport`\n- ✅ **HTTP Server**: Secondary HTTP server for health checks and API endpoints (port 34301)\n- ✅ **Hybrid Approach**: Supports both stdio (for MCP clients) and HTTP (for health monitoring)\n\n### ✅ Compliance with Docker MCP Registry Standards\n\n1. **✅ Dockerfile in root directory** - Required\n2. **✅ Valid Dockerfile** - Builds successfully\n3. **✅ CMD for stdio transport** - Standard for MCP servers (primary transport)\n4. **✅ Non-root user** - Security best practice\n5. **✅ Minimal image size** - Uses node:lts-slim\n6. **✅ HEALTHCHECK** - Configured for HTTP health endpoint (appropriate for hybrid servers)\n7. **✅ Port exposure** - Port 34301 exposed for health checks\n8. **✅ Multi-stage build** - Optimized for production\n\n### Comparison with Registry Examples\n\n**From Docker MCP Registry examples:**\n- Most stdio MCP servers use: `CMD [\"node\", \"path/to/server.js\"]` or `CMD [\"python\", \"main.py\"]`\n- ENTRYPOINT is rarely used for simple stdio servers\n- HEALTHCHECK is used for servers with HTTP endpoints\n- Hybrid servers (stdio + HTTP) are supported and documented\n\n**Our implementation:**\n- ✅ Uses `CMD [\"node\", \"dist/index.js\"]` - matches standard pattern\n- ✅ Primary transport: STDIO (for MCP protocol)\n- ✅ Secondary HTTP server: For health checks and API endpoints\n- ✅ HEALTHCHECK configured: Uses HTTP endpoint `/health`\n- ✅ No ENTRYPOINT needed - simpler and more flexible\n\n### Why CMD Instead of ENTRYPOINT?\n\n1. **Flexibility**: Users can override command if needed\n2. **Standard Practice**: Matches examples in Docker MCP Registry\n3. **Simplicity**: No need for wrapper script for stdio servers\n4. **Docker Best Practices**: CMD is preferred for default command\n\n### Transport Architecture\n\n**ACE MCP Server uses a hybrid approach:**\n\n1. **Primary: STDIO Transport** (for MCP protocol)\n - Used by MCP clients (Cursor AI, Claude Desktop, etc.)\n - Standard input/output communication\n - Configured via `.cursor/mcp.json`:\n ```json\n {\n \"mcpServers\": {\n \"ace-mcp-server\": {\n \"command\": \"node\",\n \"args\": [\"/path/to/ace-mcp-server/dist/index.js\"],\n \"env\": {\n \"LLM_PROVIDER\": \"deepseek\",\n \"API_BEARER_TOKEN\": \"your-token\"\n }\n }\n }\n }\n ```\n\n2. **Secondary: HTTP Server** (for health checks and API)\n - Health check endpoint: `http://localhost:34301/health`\n - API endpoints: `/api/*` (require Bearer token authentication)\n - Used by Docker HEALTHCHECK and external monitoring\n\n**This hybrid approach is:**\n- ✅ Supported by Docker MCP Registry\n- ✅ Standard for servers that need health monitoring\n- ✅ Compatible with stdio MCP clients\n- ✅ Allows external API access when needed\n\n### Health Check Configuration\n\n**HEALTHCHECK in Dockerfile:**\n```dockerfile\nHEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \\\n CMD node -e \"require('http').get('http://localhost:34301/health', (res) => { process.exit(res.statusCode === 200 ? 0 : 1) }).on('error', () => process.exit(1))\"\n```\n\n**Health Endpoint:**\n- URL: `http://localhost:34301/health`\n- Method: GET\n- Response: JSON with status, version, uptime\n- Authentication: Not required (public endpoint)\n\n### Logging\n\nLogs are visible in `docker logs` because:\n- Application logs use standard Node.js logging\n- HTTP server logs are written to stdout/stderr\n- All logs are captured by Docker and visible in `docker logs`\n\n### Testing\n\n```bash\n# Build image\ndocker build -t ace-mcp-server:latest .\n\n# Run with stdio (for MCP clients)\ndocker run -i --rm \\\n -e LLM_PROVIDER=deepseek \\\n -e DEEPSEEK_API_KEY=your-key \\\n -e API_BEARER_TOKEN=your-token \\\n ace-mcp-server:latest\n\n# Run with HTTP health check (detached)\ndocker run -d --name ace-mcp-server \\\n -p 34301:34301 \\\n -e LLM_PROVIDER=deepseek \\\n -e DEEPSEEK_API_KEY=your-key \\\n -e API_BEARER_TOKEN=your-token \\\n ace-mcp-server:latest\n\n# Check health\ncurl http://localhost:34301/health\n\n# View logs\ndocker logs ace-mcp-server\n```\n\n### ✅ Compliance with Cursor AI Catalog Requirements\n\n1. **✅ GitHub Repository** - https://github.com/Angry-Robot-Deals/ace-mcp\n2. **✅ License: MIT** - Specified in package.json\n3. **✅ README.md** - Comprehensive documentation with:\n - Installation instructions\n - Configuration examples\n - Usage examples\n - API documentation\n4. **✅ Dockerfile** - Present in root directory\n5. **✅ Environment Variables** - Documented in .env.example and README.md\n6. **✅ MCP Tools Documentation** - All 4 tools documented:\n - `ace_smart_generate` - Smart code generation with auto-enhancement\n - `ace_smart_reflect` - Code analysis and reflection with suggestions\n - `ace_context_aware` - Context-aware assistance based on domain\n - `ace_enhance_prompt` - Automatic prompt enhancement with playbook knowledge\n7. **✅ Configuration Examples** - Provided for multiple LLM providers\n8. **✅ Test Suite** - Automated tests via `test-server.mjs`\n\n### Required Environment Variables\n\n**For Docker MCP Registry:**\n- `LLM_PROVIDER` (required): deepseek, openai, anthropic, gemini, mistral, lmstudio\n- `API_BEARER_TOKEN` (required): Bearer token for authentication\n- Provider-specific API keys (required, based on LLM_PROVIDER):\n - `DEEPSEEK_API_KEY` (if LLM_PROVIDER=deepseek)\n - `OPENAI_API_KEY` (if LLM_PROVIDER=openai)\n - `ANTHROPIC_API_KEY` (if LLM_PROVIDER=anthropic)\n - `GOOGLE_API_KEY` (if LLM_PROVIDER=gemini)\n - `MISTRAL_API_KEY` (if LLM_PROVIDER=mistral)\n - `LMSTUDIO_BASE_URL` (if LLM_PROVIDER=lmstudio)\n\n**Optional Environment Variables:**\n- `ACE_SERVER_PORT` (default: 34301)\n- `ACE_CONTEXT_DIR` (default: ./contexts)\n- `ACE_LOG_LEVEL` (default: info)\n- `ACE_MAX_PLAYBOOK_SIZE` (default: 1000)\n- `NODE_ENV` (default: production)\n\n### Docker Registry Configuration Requirements\n\n**For server.yaml:**\n- Category: `ai`, `development`, `tools`, `code-generation`\n- Type: `server` (Docker-built image)\n- Secrets: API keys for LLM providers, API_BEARER_TOKEN\n- Environment variables: LLM_PROVIDER, ACE_* configuration variables\n- Volumes: Optional (for contexts and logs persistence)\n\n**Example server.yaml structure:**\n```yaml\nname: ace-mcp-server\nimage: mcp/ace-mcp-server\ntype: server\nmeta:\n category: ai\n tags:\n - ai\n - development\n - code-generation\n - context-engineering\nabout:\n title: ACE MCP Server\n description: Agentic Context Engineering MCP Server for intelligent code generation\n icon: https://avatars.githubusercontent.com/u/182288589?s=200&v=4\nsource:\n project: https://github.com/Angry-Robot-Deals/ace-mcp\nconfig:\n description: Configure ACE MCP Server with LLM provider\n secrets:\n - name: ace-mcp-server.api_bearer_token\n env: API_BEARER_TOKEN\n example: your-secure-bearer-token\n - name: ace-mcp-server.llm_api_key\n env: DEEPSEEK_API_KEY # or OPENAI_API_KEY, etc.\n example: your-llm-api-key\n env:\n - name: LLM_PROVIDER\n example: deepseek\n value: '{{ace-mcp-server.llm_provider}}'\n - name: ACE_LOG_LEVEL\n example: info\n value: '{{ace-mcp-server.log_level}}'\n```\n\n### Cursor AI Catalog Configuration\n\n**For .cursor/mcp.json:**\n```json\n{\n \"mcpServers\": {\n \"ace-mcp-server\": {\n \"command\": \"node\",\n \"args\": [\"/absolute/path/to/ace-mcp-server/dist/index.js\"],\n \"env\": {\n \"LLM_PROVIDER\": \"deepseek\",\n \"DEEPSEEK_API_KEY\": \"your-api-key\",\n \"API_BEARER_TOKEN\": \"your-bearer-token\",\n \"ACE_LOG_LEVEL\": \"info\"\n }\n }\n }\n}\n```\n\n**Or using Docker:**\n```json\n{\n \"mcpServers\": {\n \"ace-mcp-server\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\", \"-i\", \"--rm\",\n \"-e\", \"LLM_PROVIDER\",\n \"-e\", \"DEEPSEEK_API_KEY\",\n \"-e\", \"API_BEARER_TOKEN\",\n \"ace-mcp-server:latest\"\n ],\n \"env\": {\n \"LLM_PROVIDER\": \"deepseek\",\n \"DEEPSEEK_API_KEY\": \"your-api-key\",\n \"API_BEARER_TOKEN\": \"your-bearer-token\"\n }\n }\n }\n}\n```\n\n### Differences from sys8 (stdio-only server)\n\n| Aspect | sys8 | ace-mcp-server |\n|--------|------|----------------|\n| **Primary Transport** | STDIO only | STDIO (primary) + HTTP (secondary) |\n| **HEALTHCHECK** | Not needed | ✅ Configured (HTTP endpoint) |\n| **Port Exposure** | Not needed | ✅ Port 34301 exposed |\n| **Use Case** | Simple stdio server | Hybrid server with API endpoints |\n| **Docker Registry** | ✅ Compliant | ✅ Compliant (hybrid supported) |\n| **Cursor AI Catalog** | ✅ Compliant | ✅ Compliant |\n\n### Potential Issues and Solutions\n\n#### Issue 1: HTTP Server Not Required for MCP\n**Status**: ✅ Not an issue\n**Explanation**: HTTP server is optional and used only for health checks. MCP communication uses stdio transport, which is the primary and required transport.\n\n#### Issue 2: Port Exposure\n**Status**: ✅ Compliant\n**Explanation**: Port exposure is optional for stdio servers but recommended for servers with health checks. Docker MCP Registry supports this pattern.\n\n#### Issue 3: HEALTHCHECK Configuration\n**Status**: ✅ Compliant\n**Explanation**: HEALTHCHECK is appropriate for servers with HTTP endpoints. It's optional but recommended for production deployments.\n\n### Conclusion\n\n✅ **Current Dockerfile configuration fully complies with Docker MCP Registry requirements and best practices.**\n\n✅ **Current project configuration fully complies with Cursor AI Catalog requirements.**\n\n**Key Compliance Points:**\n- ✅ Dockerfile in root directory\n- ✅ Valid Dockerfile (builds successfully)\n- ✅ CMD for stdio transport (primary MCP communication)\n- ✅ HEALTHCHECK for HTTP endpoints (optional but recommended)\n- ✅ Non-root user (security best practice)\n- ✅ Multi-stage build (optimized image size)\n- ✅ MIT License\n- ✅ GitHub repository specified\n- ✅ Comprehensive README.md\n- ✅ Environment variables documented\n- ✅ Configuration examples provided\n- ✅ Test suite available\n\n**The hybrid approach (stdio + HTTP) is:**\n- ✅ Supported by Docker MCP Registry\n- ✅ Standard for servers needing health monitoring\n- ✅ Compatible with all MCP clients\n- ✅ Allows flexible deployment options\n\n**Ready for publication in:**\n- ✅ Docker MCP Registry (via pull request)\n- ✅ Cursor AI Catalog (via issue request)\n"}, "65b1a9aa5d0df32dd9d5e286a2fa0eb668332e71": {"t": 1785769605.2148438, "n": 10675, "h": "80ada8977c869b15", "c": "# Dockerfile Compliance with Docker MCP Registry and Cursor AI Catalog Requirements\n\n## ✅ Compliance Check\n\n### Current Configuration\n\n**Dockerfile Structure:**\n- ✅ Multi-stage build (builder + production)\n- ✅ Non-root user (app)\n- ✅ Minimal base image (node:lts-slim)\n- ✅ Proper layer caching\n- ✅ CMD for MCP server\n- ✅ HEALTHCHECK for HTTP endpoints\n- ✅ Port exposure (34301) for health checks\n\n**Command Configuration:**\n```dockerfile\nCMD [\"node\", \"dist/index.js\"]\n```\n\n**Transport Type:**\n- ✅ **STDIO Transport**: Primary MCP communication via `StdioServerTransport`\n- ✅ **HTTP Server**: Secondary HTTP server for health checks and API endpoints (port 34301)\n- ✅ **Hybrid Approach**: Supports both stdio (for MCP clients) and HTTP (for health monitoring)\n\n### ✅ Compliance with Docker MCP Registry Standards\n\n1. **✅ Dockerfile in root directory** - Required\n2. **✅ Valid Dockerfile** - Builds successfully\n3. **✅ CMD for stdio transport** - Standard for MCP servers (primary transport)\n4. **✅ Non-root user** - Security best practice\n5. **✅ Minimal image size** - Uses node:lts-slim\n6. **✅ HEALTHCHECK** - Configured for HTTP health endpoint (appropriate for hybrid servers)\n7. **✅ Port exposure** - Port 34301 exposed for health checks\n8. **✅ Multi-stage build** - Optimized for production\n\n### Comparison with Registry Examples\n\n**From Docker MCP Registry examples:**\n- Most stdio MCP servers use: `CMD [\"node\", \"path/to/server.js\"]` or `CMD [\"python\", \"main.py\"]`\n- ENTRYPOINT is rarely used for simple stdio servers\n- HEALTHCHECK is used for servers with HTTP endpoints\n- Hybrid servers (stdio + HTTP) are supported and documented\n\n**Our implementation:**\n- ✅ Uses `CMD [\"node\", \"dist/index.js\"]` - matches standard pattern\n- ✅ Primary transport: STDIO (for MCP protocol)\n- ✅ Secondary HTTP server: For health checks and API endpoints\n- ✅ HEALTHCHECK configured: Uses HTTP endpoint `/health`\n- ✅ No ENTRYPOINT needed - simpler and more flexible\n\n### Why CMD Instead of ENTRYPOINT?\n\n1. **Flexibility**: Users can override command if needed\n2. **Standard Practice**: Matches examples in Docker MCP Registry\n3. **Simplicity**: No need for wrapper script for stdio servers\n4. **Docker Best Practices**: CMD is preferred for default command\n\n### Transport Architecture\n\n**ACE MCP Server uses a hybrid approach:**\n\n1. **Primary: STDIO Transport** (for MCP protocol)\n - Used by MCP clients (Cursor AI, Claude Desktop, etc.)\n - Standard input/output communication\n - Configured via `.cursor/mcp.json`:\n ```json\n {\n \"mcpServers\": {\n \"ace-mcp-server\": {\n \"command\": \"node\",\n \"args\": [\"/path/to/ace-mcp-server/dist/index.js\"],\n \"env\": {\n \"LLM_PROVIDER\": \"deepseek\",\n \"API_BEARER_TOKEN\": \"your-token\"\n }\n }\n }\n }\n ```\n\n2. **Secondary: HTTP Server** (for health checks and API)\n - Health check endpoint: `http://localhost:34301/health`\n - API endpoints: `/api/*` (require Bearer token authentication)\n - Used by Docker HEALTHCHECK and external monitoring\n\n**This hybrid approach is:**\n- ✅ Supported by Docker MCP Registry\n- ✅ Standard for servers that need health monitoring\n- ✅ Compatible with stdio MCP clients\n- ✅ Allows external API access when needed\n\n### Health Check Configuration\n\n**HEALTHCHECK in Dockerfile:**\n```dockerfile\nHEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \\\n CMD node -e \"require('http').get('http://localhost:34301/health', (res) => { process.exit(res.statusCode === 200 ? 0 : 1) }).on('error', () => process.exit(1))\"\n```\n\n**Health Endpoint:**\n- URL: `http://localhost:34301/health`\n- Method: GET\n- Response: JSON with status, version, uptime\n- Authentication: Not required (public endpoint)\n\n### Logging\n\nLogs are visible in `docker logs` because:\n- Application logs use standard Node.js logging\n- HTTP server logs are written to stdout/stderr\n- All logs are captured by Docker and visible in `docker logs`\n\n### Testing\n\n```bash\n# Build image\ndocker build -t ace-mcp-server:latest .\n\n# Run with stdio (for MCP clients)\ndocker run -i --rm \\\n -e LLM_PROVIDER=deepseek \\\n -e DEEPSEEK_API_KEY=your-key \\\n -e API_BEARER_TOKEN=your-token \\\n ace-mcp-server:latest\n\n# Run with HTTP health check (detached)\ndocker run -d --name ace-mcp-server \\\n -p 34301:34301 \\\n -e LLM_PROVIDER=deepseek \\\n -e DEEPSEEK_API_KEY=your-key \\\n -e API_BEARER_TOKEN=your-token \\\n ace-mcp-server:latest\n\n# Check health\ncurl http://localhost:34301/health\n\n# View logs\ndocker logs ace-mcp-server\n```\n\n### ✅ Compliance with Cursor AI Catalog Requirements\n\n1. **✅ GitHub Repository** - https://github.com/Angry-Robot-Deals/ace-mcp\n2. **✅ License: MIT** - Specified in package.json\n3. **✅ README.md** - Comprehensive documentation with:\n - Installation instructions\n - Configuration examples\n - Usage examples\n - API documentation\n4. **✅ Dockerfile** - Present in root directory\n5. **✅ Environment Variables** - Documented in .env.example and README.md\n6. **✅ MCP Tools Documentation** - All 4 tools documented:\n - `ace_smart_generate` - Smart code generation with auto-enhancement\n - `ace_smart_reflect` - Code analysis and reflection with suggestions\n - `ace_context_aware` - Context-aware assistance based on domain\n - `ace_enhance_prompt` - Automatic prompt enhancement with playbook knowledge\n7. **✅ Configuration Examples** - Provided for multiple LLM providers\n8. **✅ Test Suite** - Automated tests via `test-server.mjs`\n\n### Required Environment Variables\n\n**For Docker MCP Registry:**\n- `LLM_PROVIDER` (required): deepseek, openai, anthropic, gemini, mistral, lmstudio\n- `API_BEARER_TOKEN` (required): Bearer token for authentication\n- Provider-specific API keys (required, based on LLM_PROVIDER):\n - `DEEPSEEK_API_KEY` (if LLM_PROVIDER=deepseek)\n - `OPENAI_API_KEY` (if LLM_PROVIDER=openai)\n - `ANTHROPIC_API_KEY` (if LLM_PROVIDER=anthropic)\n - `GOOGLE_API_KEY` (if LLM_PROVIDER=gemini)\n - `MISTRAL_API_KEY` (if LLM_PROVIDER=mistral)\n - `LMSTUDIO_BASE_URL` (if LLM_PROVIDER=lmstudio)\n\n**Optional Environment Variables:**\n- `ACE_SERVER_PORT` (default: 34301)\n- `ACE_CONTEXT_DIR` (default: ./contexts)\n- `ACE_LOG_LEVEL` (default: info)\n- `ACE_MAX_PLAYBOOK_SIZE` (default: 1000)\n- `NODE_ENV` (default: production)\n\n### Docker Registry Configuration Requirements\n\n**For server.yaml:**\n- Category: `ai`, `development`, `tools`, `code-generation`\n- Type: `server` (Docker-built image)\n- Secrets: API keys for LLM providers, API_BEARER_TOKEN\n- Environment variables: LLM_PROVIDER, ACE_* configuration variables\n- Volumes: Optional (for contexts and logs persistence)\n\n**Example server.yaml structure:**\n```yaml\nname: ace-mcp-server\nimage: mcp/ace-mcp-server\ntype: server\nmeta:\n category: ai\n tags:\n - ai\n - development\n - code-generation\n - context-engineering\nabout:\n title: ACE MCP Server\n description: Agentic Context Engineering MCP Server for intelligent code generation\n icon: https://avatars.githubusercontent.com/u/182288589?s=200&v=4\nsource:\n project: https://github.com/Angry-Robot-Deals/ace-mcp\nconfig:\n description: Configure ACE MCP Server with LLM provider\n secrets:\n - name: ace-mcp-server.api_bearer_token\n env: API_BEARER_TOKEN\n example: your-secure-bearer-token\n - name: ace-mcp-server.llm_api_key\n env: DEEPSEEK_API_KEY # or OPENAI_API_KEY, etc.\n example: your-llm-api-key\n env:\n - name: LLM_PROVIDER\n example: deepseek\n value: '{{ace-mcp-server.llm_provider}}'\n - name: ACE_LOG_LEVEL\n example: info\n value: '{{ace-mcp-server.log_level}}'\n```\n\n### Cursor AI Catalog Configuration\n\n**For .cursor/mcp.json:**\n```json\n{\n \"mcpServers\": {\n \"ace-mcp-server\": {\n \"command\": \"node\",\n \"args\": [\"/absolute/path/to/ace-mcp-server/dist/index.js\"],\n \"env\": {\n \"LLM_PROVIDER\": \"deepseek\",\n \"DEEPSEEK_API_KEY\": \"your-api-key\",\n \"API_BEARER_TOKEN\": \"your-bearer-token\",\n \"ACE_LOG_LEVEL\": \"info\"\n }\n }\n }\n}\n```\n\n**Or using Docker:**\n```json\n{\n \"mcpServers\": {\n \"ace-mcp-server\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\", \"-i\", \"--rm\",\n \"-e\", \"LLM_PROVIDER\",\n \"-e\", \"DEEPSEEK_API_KEY\",\n \"-e\", \"API_BEARER_TOKEN\",\n \"ace-mcp-server:latest\"\n ],\n \"env\": {\n \"LLM_PROVIDER\": \"deepseek\",\n \"DEEPSEEK_API_KEY\": \"your-api-key\",\n \"API_BEARER_TOKEN\": \"your-bearer-token\"\n }\n }\n }\n}\n```\n\n### Differences from sys8 (stdio-only server)\n\n| Aspect | sys8 | ace-mcp-server |\n|--------|------|----------------|\n| **Primary Transport** | STDIO only | STDIO (primary) + HTTP (secondary) |\n| **HEALTHCHECK** | Not needed | ✅ Configured (HTTP endpoint) |\n| **Port Exposure** | Not needed | ✅ Port 34301 exposed |\n| **Use Case** | Simple stdio server | Hybrid server with API endpoints |\n| **Docker Registry** | ✅ Compliant | ✅ Compliant (hybrid supported) |\n| **Cursor AI Catalog** | ✅ Compliant | ✅ Compliant |\n\n### Potential Issues and Solutions\n\n#### Issue 1: HTTP Server Not Required for MCP\n**Status**: ✅ Not an issue\n**Explanation**: HTTP server is optional and used only for health checks. MCP communication uses stdio transport, which is the primary and required transport.\n\n#### Issue 2: Port Exposure\n**Status**: ✅ Compliant\n**Explanation**: Port exposure is optional for stdio servers but recommended for servers with health checks. Docker MCP Registry supports this pattern.\n\n#### Issue 3: HEALTHCHECK Configuration\n**Status**: ✅ Compliant\n**Explanation**: HEALTHCHECK is appropriate for servers with HTTP endpoints. It's optional but recommended for production deployments.\n\n### Conclusion\n\n✅ **Current Dockerfile configuration fully complies with Docker MCP Registry requirements and best practices.**\n\n✅ **Current project configuration fully complies with Cursor AI Catalog requirements.**\n\n**Key Compliance Points:**\n- ✅ Dockerfile in root directory\n- ✅ Valid Dockerfile (builds successfully)\n- ✅ CMD for stdio transport (primary MCP communication)\n- ✅ HEALTHCHECK for HTTP endpoints (optional but recommended)\n- ✅ Non-root user (security best practice)\n- ✅ Multi-stage build (optimized image size)\n- ✅ MIT License\n- ✅ GitHub repository specified\n- ✅ Comprehensive README.md\n- ✅ Environment variables documented\n- ✅ Configuration examples provided\n- ✅ Test suite available\n\n**The hybrid approach (stdio + HTTP) is:**\n- ✅ Supported by Docker MCP Registry\n- ✅ Standard for servers needing health monitoring\n- ✅ Compatible with all MCP clients\n- ✅ Allows flexible deployment options\n\n**Ready for publication in:**\n- ✅ Docker MCP Registry (via pull request)\n- ✅ Cursor AI Catalog (via issue request)\n"}}}} |