Skip to main content

MCP Scholar for Google Scholar search

Project description

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

使用uv安装

# 克隆仓库
git clone https://github.com/renyumeng1/mcp-scholar.git
cd mcp-scholar

# 使用uv安装依赖
uv pip install -e .

使用pip安装

pip install mcp-scholar

使用方法

启动服务器

# 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

示例用法

在Cherry Studio中,可以使用以下提示:

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

许可证

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mcp_scholar-0.1.8.tar.gz (63.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mcp_scholar-0.1.8-py3-none-any.whl (10.4 kB view details)

Uploaded Python 3

File details

Details for the file mcp_scholar-0.1.8.tar.gz.

File metadata

  • Download URL: mcp_scholar-0.1.8.tar.gz
  • Upload date:
  • Size: 63.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for mcp_scholar-0.1.8.tar.gz
Algorithm Hash digest
SHA256 d59a9d07b14070cb207ae98ab7ed47bbc68a102197c076b927d83b12ed72bc37
MD5 90eb45c570db296c511813a255b6c73e
BLAKE2b-256 74c7181037ec89bafff564d1affd0e61d94bd78fdeceeb172a2ccf63e48b0ce1

See more details on using hashes here.

File details

Details for the file mcp_scholar-0.1.8-py3-none-any.whl.

File metadata

  • Download URL: mcp_scholar-0.1.8-py3-none-any.whl
  • Upload date:
  • Size: 10.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for mcp_scholar-0.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 5852eeddbb3f0b2b06500371ed47dd5fe5836ebb92b6cc25ab4abf3477e97bc6
MD5 2b01069730b70af040299c6273ef7073
BLAKE2b-256 37a9c39226de13a37278873727ec0171b6bf74ed725b41b937757091ea2beee9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page