MCP Scholar for Google Scholar search
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"mcp-scholar","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# MCP Scholar 基于MCP协议的谷歌学术搜索和分析服务。 ## 功能特点 - 谷歌学术论文搜索：根据关键词搜索相关论文，并按引用量排序 - 学者主页分析：分析谷歌学术个人主页，提取引用量最高的论文 - 支持与所有支持MCP客户端集成 - 支持与Cherry Studio集成：可以作为插件在Cherry Studio中使用 ## 安装方法 ### 启动服务器 ```bash # 方式一：使用uvx启动 uvx mcp-scholar # 方式二：clone仓库后使用uv run启动 uv --directory 路径\到\mcp_scholar run mcp-scholar ``` ### 在Cherry Studio中使用 - 「参照官方教程：https://vaayne.com/posts/2025/mcp-guide 」 ## 示例用法 在Cherry Studio中，可以使用以下提示： - 「总结5篇关于人工智能的论文」 - 「分析学者主页 https://scholar.google.com/citations?user=xxxxxx 的前10篇高引论文」 ## 开发说明 本项目使用MCP协议开发，基于Python SDK实现。详细信息请参考[MCP Python SDK](https://github.com/modelcontextprotocol/python-sdk)。 ## 许可证 MIT
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.