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 actual tool implementation. The execute_skill_action tool is mentioned in the feature list but is not defined anywhere in the codebase. The client.py and example_usage.py files are standalone Python code unrelated to MCP. This is a stub or placeholder, not a working MCP server.

• Implement the MCP server message loop: read JSON-RPC requests from stdin, parse them, dispatch to tool handlers, and write JSON-RPC responses to stdout. Reference the MCP spec (2026-07-28) for request/response format.
• Define the execute_skill_action tool with a complete JSON Schema input schema. Include parameters for skill_name, action_type, workspace_state, and any other required inputs. Each parameter must have a type and description.
• Expand the tool description to 100 - 200 characters explaining: what skill actions are supported, when to call this tool, what parameters it requires, and what the response contains.
• Document the output schema with typed fields (e.g., status: string, result: object, errors: array). Include example responses so LLMs understand the structure.
• Add error handling: return actionable error messages (e.g., 'Skill not found. Available skills: [list]') instead of silent failures or stack traces.