Search AMiner's scholarly article database to find peer reviewed articles by keyword, author, or venue for advanced acad
by scipenai·Updated Apr 13, 2026Fetch and extract information from websites automatically
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Strong directory entry: AMiner surfaces stars and publisher context so we could sanity-check maintenance before adopting.
AMiner has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, AMiner benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Useful MCP listing: AMiner is the kind of server we cite when onboarding engineers to host + tool permissions.
AMiner is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
AMiner is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We wired AMiner into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We evaluated AMiner against two servers with overlapping tools; this profile had the clearer scope statement.
Strong directory entry: AMiner surfaces stars and publisher context so we could sanity-check maintenance before adopting.
AMiner has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
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Claude Desktop configuration
{
"mcpServers": {
"aminer": {
"command": "npx",
"args": [
"-y",
"@scipen/aminer-mcp-server"
],
"env": {
"AMINER_API_KEY": "YOUR_AMINER_API_KEY"
}
}
}
}Searches academic papers from AMiner's database using keywords, authors, venues, or advanced multi-criteria queries. Provides detailed paper information with configurable pagination and sorting.
AMiner is a community-built MCP server published by scipenai that provides AI assistants with tools and capabilities via the Model Context Protocol. Search AMiner's scholarly article database to find peer reviewed articles by keyword, author, or venue for advanced acad It is categorized under search web.
You can install AMiner in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
语言 / Language: 🇨🇳 中文 | 🇺🇸 English
基于模型上下文协议（MCP）的服务器，通过 AMiner API 提供强大的学术论文搜索和分析功能。
search_papers_by_keyword) - 通过关键词搜索论文search_papers_by_venue) - 搜索特定期刊/会议的论文search_papers_by_author) - 搜索特定作者的论文search_papers_advanced) - 多条件组合搜索paper_search_assistant) - 学术研究辅助的 AI 提示模板添加到您的 MCP 客户端配置文件：
{
"mcpServers": {
"aminer": {
"command": "npx",
"args": ["-y", "@scipen/aminer-mcp-server"],
"env": {
"AMINER_API_KEY": "YOUR_AMINER_API_KEY"
}
}
}
}
# 设置您的 AMiner API 密钥：
export AMINER_API_KEY="your_aminer_api_key_here"
# 使用 npx 启动
npx -y @scipen/aminer-mcp-server
通过关键词搜索学术论文。
参数：
keyword (字符串，必需): 搜索关键词page (数字，可选): 页码，默认 0size (数字，可选): 每页论文数，默认 10，最大 10order (字符串，可选): 排序方式：'year' 或 'n_citation'示例：
{
"keyword": "深度学习",
"page": 0,
"size": 5,
"order": "n_citation"
}
搜索特定期刊/会议发表的论文。
参数：
venue (字符串，必需): 期刊/会议名称page (数字，可选): 页码，默认 0size (数字，可选): 每页论文数，默认 10，最大 10order (字符串，可选): 排序方式：'year' 或 'n_citation'示例：
{
"venue": "Nature",
"page": 0,
"size": 10,
"order": "year"
}
搜索特定作者发表的论文。
参数：
author (字符串，必需): 作者姓名page (数字，可选): 页码，默认 0size (数字，可选): 每页论文数，默认 10，最大 10order (字符串，可选): 排序方式：'year' 或 'n_citation'示例：
{
"author": "Geoffrey Hinton",
"page": 0,
"size": 10
}
支持多条件的高级搜索。
参数：
keyword (字符串，可选): 搜索关键词venue (字符串，可选): 期刊/会议名称author (字符串，可选): 作者姓名page (数字，可选): 页码，默认 0size (数字，可选): 每页论文数，默认 10，最大 10order (字符串，可选): 排序方式：'year' 或 'n_citation'注意： 必须提供 keyword、venue 或 author 中的至少一个。
示例：
{
"keyword": "自然语言处理",
"author": "Yann LeCun",
"page": 0,
"size": 5,
"order": "n_citation"
}
学术研究的 AI 助手提示模板。
参数：
research_topic (字符串，必需): 研究主题或领域search_focus (字符串，可选): 搜索重点
recent: 关注最新论文highly_cited: 关注高引用论文comprehensive: 平衡搜索（默认）示例：
{
"research_topic": "计算机视觉中的注意力机制",
"search_focus": "highly_cited"
}
src/
├── index.ts # 主服务器文件
├── aminer-client.ts # AMiner API 客户端
└── types.ts # 类型定义
pnpm run build - 构建项目pnpm run start - 启动服务pnpm run dev - 开发模式pnpm run lint - 代码检查pnpm test - 运行测试MIT 许可证
欢迎提交 Issues 和 Pull Requests！
如有问题和支持需求, 请添加小助手的企业微信：
<img src="qrcode.jpg" alt="企业微信二维码" width="200" />Time estimate: 20-40 minutes including configuration and testing
Prerequisites
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ Use when
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid when
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.