This server is non-functional. The mcp_server.py file contains only a stub that prints a JSON status message and exits, it does not implement the MCP protocol at all. No tool registration, no request/response handling, no schema definitions. The tool 'execute_skill_action' is declared in the output but has zero implementation. The client.py and example_usage.py files are standalone Python classes unrelated to MCP. No input schemas, no parameter descriptions, no error handling. This is a placeholder, not a working MCP server.

• Implement the MCP protocol: add a request/response loop that reads JSON-RPC messages from stdin and writes responses to stdout. See https://spec.modelcontextprotocol.io/latest/basic/protocol-overview/
• Define the input schema for execute_skill_action with explicit parameter types, descriptions, and constraints. Example: {"type": "object", "properties": {"skill_name": {"type": "string", "description": "Name of the skill to execute"}, "parameters": {"type": "object", "description": "Skill-specific parameters"}}, "required": ["skill_name"]}
• Write a clear, actionable description for execute_skill_action (50-200 chars): 'Execute a registered skill action with the provided parameters. Returns the skill result or an error with recovery guidance.'
• Document the output schema: what fields does the tool return? Include success/failure status, result data, and any IDs needed for chaining.
• Add error handling: categorize errors as retryable vs fatal, include the invalid value and constraint violated, and suggest next steps (e.g., 'Skill not found. Call list_skills() to see available options.').