MCP server for generating and managing persistent 3D spatial worlds with Gaussian splatting meshes, continuous physics interaction, and streaming assets
This server is non-functional as an MCP implementation. The mcp_server.py file contains only a single print statement that outputs a JSON status message, it does not implement the MCP protocol at all. No tool registration, no request/response handling, no schema definitions. The execute_skill_action tool 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. There is no evidence of tool definitions, parameter schemas, descriptions, or error handling anywhere in the codebase.
Execute a skill action within the large world model 3D persistent spatial simulator
No MCP protocol implementation. mcp_server.py is a stub that prints a status message and exits. Does not handle MCP requests, tool calls, or responses.
Tool execute_skill_action has no input schema. The tool is mentioned in a status string but never registered with parameters, types, or constraints.
Tool description is 97 characters but lacks actionable detail. Does not explain what skill actions are, what parameters are required, what the tool returns, or when to use it.
No output schema documented. LLMs cannot plan downstream calls or extract results without knowing what fields the tool returns.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 17 | 2026-07-28+ | v2 |
No error handling or recovery guidance. Tool has no documented error cases, validation rules, or instructions for what the LLM should do if a call fails.