The complete solution for optimizing mcp-ui responsiveness
The responsiveness of mcp-ui is mainly affected by the model API, network environment and local configuration, and can be improved by the following steps:
- Selection of efficient models: Switch to a faster model in the settings (e.g. OpenAI's GPT-3.5-turbo responds faster than GPT-4), or Anthropic's Claude Instant.
- Local Cache Configuration: in
.envaddVITE_CACHE_ENABLED=trueEnable local caching to reduce duplicate requests. - Optimize network connectivity: If using a custom API base URL, ensure that the server is geographically close to the user (e.g., Asia Pacific node for East Asian users).
- Limit the depth of tool calls: Modification
mcp_server.jshit the nail on the headmaxToolIterationsparameter to avoid timeouts due to complex tasks (the default recommended setting is 3).
Advanced Optimization Tips:
- Reduce browser performance limitations by using the desktop version instead of the web version.
- For developers, a production version can be compiled (
npm run build) for better performance. - Monitor CPU/Memory usage and close unnecessary background processes.
Note: Anthropic API has a rate limitation, frequent requests may cause slowdowns, set reasonablyVITE_REQUEST_DELAY(unit ms) can avoid triggering current limit.
This answer comes from the articlemcp-ui: a clean AI chat interface based on the MCP protocolThe
May not be reproduced without permission:AI productivity tools " How to improve the responsiveness of mcp-ui and optimize the AI conversation experience?
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