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AMiner MCP 服务器

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。

🌟 功能特性

🔍 搜索工具

  • 关键词搜索 (search_papers_by_keyword) - 通过关键词搜索论文

  • 期刊搜索 (search_papers_by_venue) - 搜索特定期刊/会议的论文

  • 作者搜索 (search_papers_by_author) - 搜索特定作者的论文

  • 高级搜索 (search_papers_advanced) - 多条件组合搜索

🤖 AI 助手

  • 论文搜索助手 (paper_search_assistant) - 学术研究辅助的 AI 提示模板

⚙️ 搜索选项

  • 分页支持(页码、每页数量)

  • 排序选项(按年份或引用数)

  • 详细论文信息展示

  • 专业学术格式的英文界面

Related MCP server: Semantic Scholar MCP Server

🔧 MCP 客户端配置

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"
      }
    }
  }
}

🚀 手动运行

# 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

📚 工具列表

search_papers_by_keyword

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 0

  • size (数字,可选): 每页论文数,默认 10,最大 10

  • order (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"
}

search_papers_by_venue

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 0

  • size (数字,可选): 每页论文数,默认 10,最大 10

  • order (字符串,可选): 排序方式:'year' 或 'n_citation'

示例:

{
  "venue": "Nature",
  "page": 0,
  "size": 10,
  "order": "year"
}

search_papers_by_author

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 0

  • size (数字,可选): 每页论文数,默认 10,最大 10

  • order (字符串,可选): 排序方式:'year' 或 'n_citation'

示例:

{
  "author": "Geoffrey Hinton",
  "page": 0,
  "size": 10
}

search_papers_advanced

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 0

  • size (数字,可选): 每页论文数,默认 10,最大 10

  • order (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"
}

🎯 提示模板

paper_search_assistant

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"
}

🛠️ 开发

项目结构

src/
├── index.ts          # 主服务器文件
├── aminer-client.ts  # AMiner API 客户端
└── types.ts          # 类型定义

可用脚本

  • 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

技术栈

  • 运行时: Node.js 18+

  • 语言: TypeScript

  • 框架: Model Context Protocol SDK

  • 包管理器: pnpm

  • API: AMiner 开放平台 API

  • 协议: JSON-RPC 2.0 (MCP)

📄 许可证

MIT 许可证

🤝 贡献

欢迎提交 Issues 和 Pull Requests!

📞 支持

如有问题和支持需求, 请添加小助手的企业微信:

Available Tools

4 tools
search_papers_advancedAdvanced Paper SearchC

Advanced paper search functionality supporting multiple search criteria

Inputs: keyword, venue, author, page, +2 more.

search_papers_by_authorSearch Papers by AuthorC

Search papers published by a specific author

Inputs: author (required), page, size, order.

search_papers_by_keywordSearch Papers by KeywordC

Search academic papers by keyword

Inputs: keyword (required), page, size, order.

search_papers_by_venueSearch Papers by VenueC

Search papers published in a specific venue/journal

Inputs: venue (required), page, size, order.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    B3.2/5.0

    Scored across 4 tools

    Disambiguation4/5

    The tools are clearly distinguished by their search criteria (advanced, author, keyword, venue), making them easy to tell apart. However, 'search_papers_advanced' could potentially overlap with the others if it includes similar filters, but the descriptions specify distinct purposes.

    Naming Consistency5/5

    All tool names follow a consistent 'search_papers_by_x' pattern, with 'search_papers_advanced' as a slight variation that still maintains readability. This uniformity helps agents predict and understand the tool set easily.

    Tool Count4/5

    Four tools is reasonable for a paper search server, covering key search dimensions. It might be slightly thin if more operations like fetching paper details or citations are needed, but it's well-scoped for basic search functionality.

    Completeness3/5

    The server covers multiple search methods, which is good for its domain, but lacks CRUD operations like retrieving full paper details, downloading, or managing references. This could lead to dead ends for agents needing more than search results.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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