Server-Side AI Slashes Token Costs in Multi-Tool Integration

As enterprises integrate more data sources, client-side AI orchestration has become prohibitively expensive—flooding the host LLM with massive token payloads from raw tool results. By embedding a purpose-built LLM directly in MCP servers to handle routing and synthesis, this approach eliminates context bloat while maintaining sophisticated multi-tool intelligence, offering both dramatic cost savings and reduced latency for scaled AI systems.