Scholar Feed MCP配置与使用教程
io.smithery.yangg40.scholar-feed · vlatest
Search 600,000+ CS/AI/ML research papers with LLM-generated novelty analysis, without leaving Claude Code, Cursor, or any MCP client. Built for researchers running a literature review where they already work: search, trace citations, pull full text, and export BibTeX in the same session.
热度数据
产品介绍
Search 600,000+ CS/AI/ML research papers with LLM-generated novelty analysis, without leaving Claude Code, Cursor, or any MCP client. Built for researchers running a literature review where they already work: search, trace citations, pull full text, and export BibTeX in the same session. Scholar Feed 是一个MCP Server,收录自 smithery。支持 streamable-http 传输。本页提供产品介绍、配置教程、安装命令与适用场景,可复制到 Cursor、Claude Code、VS Code。
按平台快速复制
选择你的平台查看安装方式
- 打开项目根目录下的 .cursor/mcp.json(没有就新建)
- 点击「复制配置」粘贴进去;若已有其他 MCP,只合并 mcpServers 里的本条目
- 保存后按 Cmd+Shift+P(Windows:Ctrl+Shift+P)→ 输入 Reload Window 并执行
{
"mcpServers": {
"io-smithery-yangg40-scholar-feed": {
"url": "https://smithery.ai/servers/yangg40/scholar-feed"
}
}
}