Critical failures across all dimensions. The single tool 'execute_skill_action' has no visible input schema, no parameter descriptions, and a generic 1-line description (18 chars). The mcp_server.py file contains only a stub that prints JSON and does not implement the MCP protocol, no tool registration, no request/response handling, no schema definitions. The client.py and example_usage.py files are demo code unrelated to MCP server implementation. No error handling, no security controls, no composition patterns. This is a non-functional MCP server skeleton.

• Implement a proper MCP server with a request/response loop. Use the official MCP Python SDK (mcp package) or implement JSON-RPC 2.0 over STDIO with full protocol compliance.
• Define execute_skill_action with a complete JSON Schema input specification. Include all parameters (project_domain, card_notes_count, etc.) with types, descriptions, constraints (e.g. card_notes_count: integer, min 1, max 100), and defaults.
• Expand tool description to 50-200 characters. Example: 'Create a spatial whiteboard with concept map visualization. Accepts a project domain and number of cards to place. Returns whiteboard ID, cluster sections, and shareable URL. Use this to organize and visualize knowledge domains.'
• Document the output schema with all returned fields (whiteboard_id, domain, spatial_cards_placed_count, concept_relationship_edges_connected, visual_cluster_sections, deep_thinking_flow_state_indexed, interactive_canvas_share_url) with types and descriptions.
• Add error handling with recovery guidance. E.g., if card_notes_count exceeds limits, return 'Invalid card count: 24 exceeds maximum 50. Reduce and retry.' Include categorization (retryable, user-fixable, fatal).