Routes incoming tasks to LLM-generated candidates using a deterministic physics-inspired classifier. Each request sends your task to Llama-3.3-70B via GitHub Models' free tier, which emits candidate options. The local classifier then derives nine scalar features from each candidate's raw content,mass, scope, independence, cross-domain entropy, coherence,and assigns it a celestial body class (planet, moon, trojan, asteroid, comet, irregular) using fixed scoring rules. You get back a ranked list with full candidate bodies and decision rationale. Exposes one tool: route_task. Runs fully local via stdio or as a hosted HTTP endpoint with OAuth 2.1 for browser-based clients like Grok and ChatGPT. Useful when you need structured, deterministic routing logic on top of generative candidate lists without maintaining your own taxonomy.
claude mcp add --transport stdio io.github.luuow-meridian-skills -- npx -y meridian-skills-mcp