by zaidmukaddam · MCP Server · ★ 830
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Scira MCP Chat An open-source AI chatbot app powered by Model Context Protocol (MCP), built with Next.js and the AI SDK by Vercel. Features • MCP Configuration • License Features Streaming text responses powered by the AI SDK by Vercel, allowing multiple AI providers to be used interchangeably with just a few lines of code. Full integration with Model Context Protocol (MCP) servers to expand available tools and capabilities. HTTP and SSE transport types for connecting to various MCP tool providers. Built-in tool integration for extending AI capabilities. Reasoning model support. shadcn/ui components for a modern, responsive UI powered by Tailwind CSS. Built with the latest Next.js App Router. MCP Server Configuration This application supports connecting to Model Context Protocol (MCP) servers to access their tools. You can add and manage MCP servers through the settings icon in the chat interface. Adding an MCP Server Click the settings icon (⚙️) next to the model selector in the chat interface. Enter a name for your MCP server. Select the
| Stars | 830 |
| Forks | 212 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 45.7/100 |
| Open Issues | 9 |
| Last Updated | 2025-12-11 |
| Created | 2025-04-21 |
| Platforms | cli, mcp, node |
| Est. Tokens | ~60k |
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scira-mcp-chat is A minimalistic MCP client with a good feature set.. It is categorized as a MCP Server with 830 GitHub stars.
scira-mcp-chat is primarily written in TypeScript. It covers topics such as anthropic, grok3, mcp.
You can find installation instructions and usage details in the scira-mcp-chat GitHub repository at github.com/zaidmukaddam/scira-mcp-chat. The project has 830 stars and 212 forks, indicating an active community.
scira-mcp-chat is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to scira-mcp-chat on Agent Skills Hub include Unity-MCP, tuui, ruby_llm. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.