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MCP server that adapts video scripts for multiple languages and cultural contexts, applying cultural nuances and optimizing for different social media platforms
Critical failures across all dimensions. The single tool 'execute_skill_action' has no visible input schema, no parameter descriptions, and a generic description (58 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 skill action for multi-language social video script adaptation
No input schema visible for execute_skill_action. Tool definition lacks parameter types, constraints, and structure.
Tool description is generic and under 100 chars ('Execute skill action for multi-language social video script adaptation'). Does not explain WHEN to use it, WHAT it returns, or any prerequisites.
mcp_server.py does not implement MCP protocol. It prints a static JSON message and exits, no request/response loop, no tool invocation handling, no message parsing. This is a stub, not a server.
No parameter descriptions or types. The tool accepts unknown inputs with no validation, constraints, or guidance. LLM cannot infer what parameters to pass.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 19 | 2026-07-28+ | v2 |
No output schema documented. Clients cannot predict the response structure. The client.py file shows a mock response, but the server does not enforce or document this contract.