Scira MCP Chat breaks through the traditional command line interaction mode by using the MCP-UI extension protocol, providing rich visual expressions for AI tools. When the connected MCP server supports the MCP-UI specification, the result of the tool call is no longer a simple text reply, but a dynamic interface component containing interactive elements such as charts and forms.
This feature significantly improves the presentation of complex information. Taking the task management system as an example, while traditional AI tools may only describe the task status in text, with MCP-UI support, the system can render a complete Kanban board containing progress bars, Gantt charts and other elements. For data analysis scenarios, query results can be directly rendered as interactive visualization charts, and users are able to perform drill-down analysis and other operations.
In terms of technical implementation, the MCP-UI specification defines a standardized component description language. After the UI descriptions returned by the server are rendered in real time by the front-end framework (based on shadcn/ui), the user gets not only passive information, but an intelligent interface that can be operated directly. This design upgrades AI tools from simple Q&A dialogues to visualized decision support systems.
This answer comes from the articleScira MCP Chat: open source AI chat tool with support for multi-platform AI models and tool extensionsThe
English 
简体中文 
日本語 
Deutsch 
Português do Brasil