Performance Bottleneck Analysis
Streaming response latency mainly comes from model APIs and network transmission, which can be optimized in multiple dimensions.
technical program
- Deployment optimization: Configure resource limits (e.g. cpus: '0.5') using docker-compose.yml
- caching strategy: Configure SWR to cache common tool responses in next.config.js
- Protocol Selection: Prefer SSE over HTTP polling for high concurrency scenarios
Surveillance Solutions
- Integrating Prometheus to monitor MCP call time consumption
- Enabling Edge Functions to Reduce Network Latency in Vercel Deployments
- Analyzing rendering performance with chrome://tracing
This answer comes from the articleScira MCP Chat: open source AI chat tool with support for multi-platform AI models and tool extensionsThe
May not be reproduced without permission:AI productivity tools " How to optimize the responsiveness of Scira MCP Chat in a production environment?
