Critical failures across all dimensions. The server claims MCP compliance but does not implement the MCP protocol. mcp_server.py merely prints a JSON status message and exits, it does not handle MCP requests, parse JSON-RPC, or implement tool invocation. The single tool 'execute_skill_action' has a basic schema with two parameters (test_scenario_nl, target_framework), but the server code provides no mechanism to invoke it. The tool description is generic (10 words) and lacks guidance on when/why to use it. No error handling, no output schema documentation, no parameter validation. The client.py file is a standalone Python class unconnected to the MCP server. This is not a functional MCP server.

• Implement the MCP protocol: add a JSON-RPC 2.0 request/response loop in mcp_server.py. Parse incoming messages, dispatch to tool handlers, and return structured responses with result or error.
• Expand tool description to 50-150 chars explaining: what the tool generates (E2E test code), when to use it (when you need automated test scenarios), and what frameworks it supports.
• Document the output schema in the tool definition: { generated_test_code: string, steps_count: integer, test_syntax_valid: boolean, framework_used: string }.
• Add parameter descriptions: 'test_scenario_nl' should explain format (natural language steps, e.g. 'login, fill form, submit'); 'target_framework' should list valid enum values.
• Implement error handling: catch exceptions from the skill, return structured errors with actionable guidance (e.g., 'Invalid framework. Supported: Playwright-TS, Cypress, Selenium').