MCP server that explains visual screens and system architecture diagrams by analyzing screenshots and generating annotated diagrams with identified UI elements
Critical failures across all dimensions. The single tool 'execute_skill_action' has no visible input schema, no parameter descriptions, and a vague 1-line description (18 chars). The mcp_server.py file does not implement the MCP protocol, it merely prints a JSON status message and exits. No tool registration, no schema validation, no error handling. This is not a functional MCP server.
Execute a skill action (declared in MCP server initialization)
No input schema visible for execute_skill_action. Tool definition is inferred from a single print statement, not from explicit MCP tool registration.
Tool description is 18 characters ('Execute a skill action (declared in MCP server initialization)'), below the 20-char minimum. Provides no context for when/why to use the tool or what it returns.
No parameter descriptions. The tool accepts parameters (screenshot_uri, user_query inferred from client.py) but the MCP server does not declare them with types or descriptions.
mcp_server.py does not implement the MCP protocol. It prints a status message and exits instead of entering a request/response loop. No message handling, no tool invocation, no error reporting.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 16 | 2026-07-28+ | v2 |
Output schema not documented. The client.py shows the tool returns a dict with 'annotated_diagram_md', 'identified_ui_elements', 'explanation_summary', but the MCP server does not declare this schema for LLM planning.