ai.physea/liminality MCP Server
The ai.physea/liminality MCP server (Liminality) breaks a hard question or decision into sub-questions, ties each sub-question to a real tool, and returns a worked answer you can check. It is intended for grounding complex requests in tool-backed steps rather than unverified reasoning.
🛠️ Key Features
- Decomposes a hard question or decision into sub-questions
- Grounds each sub-question to a real tool
- Returns a worked answer that can be checked
- Labeled as an MCP server in the provided description
🚀 Use Cases
- Tough questions
- Real decisions
- Multi-step tasks that benefit from sub-question decomposition
⚡ Developer Benefits
- Produces tool-grounded sub-questions for verification
- Helps structure multi-step reasoning into checkable parts
⚠️ Limitations
- The provided material does not specify tool coverage, supported inputs, or failure modes