AI Research Assistant - Semantic Scholar
Enables comprehensive academic research through the Semantic Scholar API, including paper search, author discovery, citation network analysis, and full-text access from arXiv and Wiley sources.
README
AI Research Assistant - MCP
A Model Context Protocol (MCP) server that provides AI models with comprehensive access to the Semantic Scholar Academic Graph API. This server enables intelligent literature search, paper analysis, and citation network exploration through a robust set of tools, resources, and prompts.
The MCP project extends the work we started in our academic paper on using AI as a research assistant. In that paper, we focused on retrieval-augmented generation (RAG) as a practical approach to support research tasks. By the time the paper was published, we had already moved forward with MCP, which takes the core ideas further and delivers a more capable system. While MCP isn’t covered in the paper, it continues the same effort and reflects what we learned along the way.
If you’re referencing this project, please also cite the following paper to acknowledge the original research:
<strong>Vakilzadeh, H., and Wood, D. A. (2025). The Development of a RAG-Based Artificial Intelligence Research Assistant (AIRA). <em>Journal of Information Systems forthcoming</em>.</strong>
Installation
- To install this MCP Server visit Smithery.
Optional: Wiley Full-Text Access
To enable full-text PDF download from Wiley papers, you'll need a Wiley TDM Client Token:
- Visit: Wiley Text and Data Mining
- Accept the Wiley terms and conditions for Text and Data Mining
- Obtain your TDM Client Token
- Configure the token in your Claude Desktop MCP settings:
{
"mcpServers": {
"semantic-scholar": {
"command": "node",
"args": ["/path/to/build/index.js"],
"env": {
"WILEY_TDM_CLIENT_TOKEN": "your-token-here"
}
}
}
}
Requirements:
- You must have institutional access or subscription to download content
- Academic subscribers can access subscribed content for non-commercial research at no extra cost
- Rate limits: 3 articles/second, 60 requests/10 minutes
Note:
- The Semantic Scholar API allows up to 100 requests per 5 minutes. To access a higher rate limit, visit Semantic Scholar to request authentication for your project.
Features
🔍 Comprehensive Paper Search
- Basic Search: Simple keyword-based paper discovery
- Advanced Search: Multi-filter search with year ranges, citation thresholds, field of study filters, and publication type restrictions
- Title Matching: Find papers by closest title match with confidence scoring
- Batch Operations: Retrieve multiple papers efficiently (up to 500 papers per request)
👥 Author Discovery & Analysis
- Search authors by name or affiliation
- Retrieve detailed author profiles with metrics (h-index, citation counts, paper counts)
- Access complete publication lists for any author
📊 Citation Network Analysis
- Explore papers that cite a specific work
- Analyze reference lists and citation patterns
- Multi-depth citation network traversal for comprehensive impact analysis
📚 Field-Specific Research
- Browse top papers by academic field
- Filter research by publication venues
- Access open access publications specifically
📄 Full-Text Access & Download
arXiv Papers
- Search arXiv repository directly with customizable query parameters
- Download and extract full-text from arXiv PDFs
- In-memory PDF processing with automatic text extraction
- Support for all arXiv paper formats (new style: 2301.12345, old style: hep-ex/0307015)
Wiley Papers
- Download and extract text from Wiley academic papers
- Support for institutional access and open access content
- Requires Wiley TDM Client Token for full access (see configuration below)
DOI Resolution
- Fetch content from any DOI URL
- Automatic redirect handling to publisher sites
- Extract metadata and available content
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。