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Scaling Agent Systems Across Multiple LLMs: Building Resilient Multi-Backend Automation
OpenClaw MCP로 다중 LLM 통합하기: 에이전트 자동화 시스템 구축 가이드
Why it matters
This guide demonstrates how to overcome AI automation bottlenecks by integrating 12 specialized MCP servers into OpenClaw, connecting multiple LLM providers (Claude, GPT, LLaMA), vector databases (Pinecone, Weaviate), and caching layers. The Model Context Protocol enables resilient, low-latency agent systems with automatic failover and load parallelization—a critical architecture pattern for production-grade AI agents.
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MCP serversOpenClawMulti-LLM integrationVector databasesAgent automation