This server is non-functional as an MCP implementation. The mcp_server.py file does not implement the MCP protocol at all, it merely prints a JSON status message and exits. There is no tool registration, no request/response handling, no schema definitions, and no parameter validation. The single tool 'execute_skill_action' is mentioned in the status output but never actually defined or registered. The client.py and example_usage.py files are standalone Python code unrelated to MCP. No input schemas, no parameter descriptions, no error handling, and no output schema documentation are present anywhere in the codebase.

• Implement the full MCP protocol: add a request/response loop that reads JSON-RPC messages from stdin and writes responses to stdout. Reference the MCP spec at https://spec.modelcontextprotocol.io/.
• Define the 'execute_skill_action' tool with a complete JSON Schema input specification. Include all parameters (e.g., skill_name, action_type, parameters), their types (string, number, boolean, object, array), and descriptions (50-150 chars each).
• Document the output schema with typed fields. Specify what the tool returns on success (e.g., {status: string, result: object, execution_time_ms: number}) and on failure (error code, message, recovery hint).
• Add parameter descriptions that explain constraints, valid values, and dependencies. E.g., 'skill_name (string, required): Name of the skill to execute. Must match a registered skill in the pipeline.'
• Implement error handling that returns structured error responses with actionable guidance. E.g., 'Skill not found: "unknown_skill". Available skills: [list]. Did you mean one of these?'