This server is non-functional as an MCP implementation. The mcp_server.py file contains only a print statement that outputs a JSON status message, it does not implement the MCP protocol at all. No tool registration, no request/response handling, no schema definitions. The single tool 'execute_skill_action' is mentioned in the status output but never actually defined, registered, or implemented. The client.py and example_usage.py files are standalone Python classes unrelated to MCP. There is no evidence of input schemas, parameter descriptions, or error handling. This is a stub, not a working MCP server.

• Implement the full MCP protocol: add a message loop that reads JSON-RPC requests from stdin, parses tool calls, invokes handlers, and writes responses to stdout.
• Define the execute_skill_action tool with a complete JSON Schema input specification including all parameters, their types (string, number, boolean, array, object), descriptions, and constraints (enums, min/max, patterns).
• Expand the tool description to 50 - 200 characters explaining: what the tool does (generates synthetic presenter video scripts), when to use it (for enterprise training content), and what it returns (video suite metadata, URLs, compliance info).
• Add descriptions to every input parameter. For example: 'course_title' (string, required): 'The title of the training course. Used in video metadata and LMS packages.'; 'total_modules' (integer, 1 - 20): 'Number of video modules to generate.'; 'target_languages' (array of strings): 'ISO 639-1 language codes (EN, JA, DE, PT_BR, FR, ES, ZH). Defaults to [EN, JA, DE, PT_BR].'
• Document the output schema with all returned fields: video_suite_id (string), course_title (string), total_modules_rendered (integer), localization_languages (array), microlearning_quiz_cards_embedded (integer), scorm_lms_compliance_package_ready (boolean), video_rendering_duration_minutes (number), lms_bundle_zip_url (string, URI format).