Critical failures across all dimensions. The single tool 'execute_skill_action' has a minimal description (67 chars, below the 194-char baseline), lacks output schema documentation entirely, and the implementation is a stub that does not actually invoke MCP protocol handlers. The mcp_server.py file prints a JSON status message but contains no tool registration, request handling, or MCP message loop. Tool definitions are inferred from client.py, not explicitly registered in the server. No error handling, no input validation, no security considerations. This is a non-functional MCP server skeleton.

• Implement the full MCP server message loop: read JSON-RPC requests from stdin, dispatch to tool handlers, write responses to stdout. Use the official MCP Python SDK or a reference implementation.
• Document the output schema in the tool definition: {type: 'object', properties: {scaffolded_components: {type: 'array', items: {type: 'string'}, description: '...'}, routes_count: {type: 'integer'}, compilation_verified: {type: 'boolean'}}}.
• Expand the tool description to 150 - 250 characters: explain what the skill generates, when to call it (e.g., 'when the user describes an app idea'), and what the response contains (file paths, route count, compilation status).
• Add input validation and error handling: validate tech_stack against a known list (Next.js + Fastify, Next.js + PostgreSQL, etc.), return structured errors with recovery hints (e.g., 'Unsupported tech stack. Try: Next.js + Fastify, Next.js + PostgreSQL').
• Register the tool explicitly in mcp_server.py with a complete JSON Schema, not inferred from client.py. Use the MCP SDK's tool registration API.