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. There is no actual tool registration, no input/output schema definitions, no parameter handling, and no request/response loop. The 'execute_skill_action' tool is declared in the metadata but has zero implementation. The client.py and example_usage.py files are standalone Python code unrelated to MCP. This is a stub or proof-of-concept, not a working MCP server.

• Implement the full MCP JSON-RPC protocol: accept stdin messages, parse tool calls, invoke handlers, and return structured responses via stdout.
• Define the input schema for execute_skill_action with explicit parameters (names, types, descriptions, constraints). Example: { 'action_type': enum, 'block_id': string, 'operation': enum, 'payload': object }.
• Rewrite the tool description to be LLM-optimized (50 - 200 chars): 'Execute operations on block-based knowledge graph nodes: create, update, delete, or query hierarchical blocks. Returns transaction ID, affected block count, and sync status.'
• Document the output schema with all returned fields, types, and meanings. Example: { 'workspace_tx_id': string, 'blocks_affected': integer, 'sync_status': enum, 'error': string|null }.
• Add error handling that returns actionable messages: 'Invalid action_type: got "xyz", must be one of: create, update, delete, query. Retry with a valid action_type.'