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MCP Scholarly Server

by adityak74
GitHub
Python
MIT License
142
  • Apple
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mcp-scholarly MCP 服务器

一个 MCP 服务器，用于搜索精准的学术文章。更多学术供应商即将添加。

演示1.jpeg

图像

明星历史-202551

成分

工具

服务器实现了一个工具：

  • search-arxiv：在 arxiv 中搜索与给定关键字相关的文章。
    • 将“关键字”作为必需的字符串参数

快速入门

安装

克劳德桌面

在 MacOS 上： ~/Library/Application\ Support/Claude/claude_desktop_config.json在 Windows 上： %APPDATA%/Claude/claude_desktop_config.json

或者如果你正在使用 Docker

通过 Smithery 安装

要通过Smithery自动为 Claude Desktop 安装 mcp-scholarly：

npx -y @smithery/cli install mcp-scholarly --client claude

发展

构建和发布

准备分发包：

  1. 同步依赖项并更新锁文件：
uv sync
  1. 构建软件包分发版：
uv build

这将在dist/目录中创建源和轮子分布。

  1. 发布到 PyPI：
uv publish

注意：您需要通过环境变量或命令标志设置 PyPI 凭据：

  • 令牌： --token或UV_PUBLISH_TOKEN
  • 或用户名/密码： --username / UV_PUBLISH_USERNAME和--password / UV_PUBLISH_PASSWORD

调试

由于 MCP 服务器通过 stdio 运行，调试起来可能比较困难。为了获得最佳调试体验，我们强烈建议使用MCP Inspector 。

您可以使用以下命令通过npm启动 MCP Inspector：

npx @modelcontextprotocol/inspector uv --directory /Users/adityakarnam/PycharmProjects/mcp-scholarly/mcp-scholarly run mcp-scholarly

启动后，检查器将显示一个 URL，您可以在浏览器中访问该 URL 以开始调试。

Install Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

How are these scores calculated?

Tools

使用户能够使用特定关键词在 arXiv 等平台上搜索学术文章，并计划在未来整合更多学术数据库。

  1. 成分
    1. 工具
  2. 快速入门
    1. 安装
    2. 通过 Smithery 安装
  3. 发展
    1. 构建和发布
    2. 调试

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