什么是 authorprofilemcp？
发现研究者的合作者与协作网络，从 scholar 档案提取研究兴趣和关键词，助力文献综述与团队遴选。
核心功能 (2 个工具)
get_coauthorsGet all co-authors for a given author. Args: name: Author's first name surname: Author's last name institution: Optional institution affiliation field: Optional research field Returns: Dictionary containing co-authors list with their information
get_author_keywordsGet research keywords/areas for a given author from Google Scholar. Args: name: Author's first name surname: Author's last name institution: Optional institution affiliation Returns: Dictionary containing keywords extracted from Google Scholar
README
Academic Author Network MCP Server
A Model Context Protocol (MCP) server for analyzing academic author networks and research collaborations.
Features
- get_coauthors: Find all co-authors for a given researcher
- get_author_keywords: Extract research keywords from Google Scholar profile
Installation
- Clone or download this repository
- Create a virtual environment:
bash
python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate - Install dependencies:
bash
pip install -r requirements.txt
Usage
Running the Server
python server.py
Example Tool Calls
Finding Co-authors
result = await get_coauthors(
name="Yann",
surname="LeCun",
institution="NYU" # Optional
)
Getting Research Keywords from Google Scholar
keywords = await get_author_keywords(
name="Yann",
surname="LeCun"
)
Data Sources
The server uses:
- Semantic Scholar API: Primary source for author and publication data
- OpenAlex API: Open academic knowledge graph
- Crossref API: DOI resolution and metadata
- Google Scholar: Web scraping for research interests and keywords
Features
- Rate Limiting: Respects API rate limits and includes delays for web scraping
- Caching: Reduces redundant API calls and scraping requests
- Error Handling: Graceful handling of API failures and scraping issues
- Data Merging: Combines data from multiple sources for co-authors
- Async Operations: Parallel API requests for better performance
Configuration
The server includes built-in rate limiting and error handling. No additional configuration is required for basic usage.
Limitations
- Free tier API limits apply
- Google Scholar scraping includes respectful delays
- Results quality depends on author name uniqueness
- Web scraping may occasionally fail due to anti-bot measures
Contributing
Contributions are welcome! Please ensure all API integrations respect rate limits and terms of service.
常见问题
authorprofilemcp 是什么？
发现研究者的合作者与协作网络，从 scholar 档案提取研究兴趣和关键词，助力文献综述与团队遴选。
authorprofilemcp 提供哪些工具？
提供 2 个工具，包括 get_coauthors、get_author_keywords。
相关 Skills
Morning Brief
by amadeus9169
This skill pulls the latest headlines from a reliable international RSS feed and presents a concise list of news titles. It is ideal for a quick, up-to-date snapshot of global events at the start of your day.
SEO Audit Skill
by amdf01-debug
agent-browser
by chulla-ceja
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
相关 MCP Server
Puppeteer 浏览器控制
编辑精选by Anthropic
Puppeteer 是让 Claude 自动操作浏览器进行网页抓取和测试的 MCP 服务器。
✎ 这个服务器解决了手动编写 Puppeteer 脚本的繁琐问题，适合需要自动化网页交互的开发者，比如抓取动态内容或做端到端测试。不过，作为参考实现，它可能缺少生产级的安全防护，建议在可控环境中使用。
网页抓取
编辑精选by Anthropic
Fetch 是 MCP 官方参考服务器，让 AI 能抓取网页并转为 Markdown 格式。
✎ 这个服务器解决了 AI 直接处理网页内容时格式混乱的问题，适合需要让 Claude 分析在线文档或新闻的开发者。不过作为参考实现，它缺乏生产级的安全配置，你得自己处理反爬虫和隐私风险。
Brave 搜索
编辑精选by Anthropic
Brave Search 是让 Claude 直接调用 Brave 搜索 API 获取实时网络信息的 MCP 服务器。
✎ 如果你想让 AI 助手帮你搜索最新资讯或技术文档，这个工具能绕过传统搜索的限制，直接返回结构化数据。特别适合需要实时信息的开发者，比如查 API 更新或竞品动态。不过它依赖 Brave 的 API 配额，高频使用可能受限。