This server helps Claude detect which reasoning approach (like chain-of-thought versus direct inference) works best for different types of queries, then routes requests accordingly. It analyzes patterns across domains to transfer successful problem-solving strategies from one context to another. You'd reach for this when running multi-model setups where you want intelligent routing based on the nature of the task rather than manual configuration. The source doesn't detail specific APIs, but the core value is automating the "which model, which mode" decision by detecting reasoning regimes on the fly. Think of it as a meta-layer that watches how LLMs handle different problem types and optimizes dispatch.
KONGEN_API_KEY*secretYour Kongen Labs API key
io.github.ericm1018/skillfm-llm-cost-optimizer-openai-anthropic-usage
io.github.mikerawsonnz/llm-orchestration-agent
io.github.mikerawsonnz/authenticated-llm-agent
labforgedev/copilot-memory-mcp
csoai-org/agent-prompt-injection-firewall-mcp
io.github.mikerawsonnz/authenticated-multi-llm-agent