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ai.physea/liminality

Reduces a request into grounded sub-questions, routes each to a real tool, returns a reusable route.

AI & MLv1.0.0

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Best AI-ML MCP Servers for Agent Toolchains in 2026Read articleBuilding Multi-Agent Workflows With MCP: Patterns and ToolsMulti-agent workflows let AI agents collaborate on complex tasks by sharing MCP servers and passing structured outputs. This guide covers the orchestrator-worker pattern, shared memory approaches, tool routing, and which server categories from MCPFind's 10,212-server index support production agentic stacks.Read articleBest MCP Servers for AI and Machine Learning WorkflowsMCPFind indexes 1,021 ai-ml MCP servers -- the highest average star count of any category at 93.11. We analyzed the top options for vector databases, HuggingFace model access, local LLM inference with Ollama, and multi-agent orchestration to find which servers belong in production ML workflows.Read article