Bibliography Search MCP
A multi-source academic bibliography search server that retrieves papers from 7 databases with automatic language detection, LLM-powered query planning, and relevance scoring.
README
Bibliography Search MCP
<p align="center"> <img src="https://img.shields.io/badge/TypeScript-3178C6?logo=typescript&logoColor=fff" alt="TypeScript" /> <img src="https://img.shields.io/badge/Cloudflare_Workers-F38020?logo=cloudflare&logoColor=fff" alt="Cloudflare Workers" /> <img src="https://img.shields.io/badge/Groq-10a37f?logo=groq&logoColor=fff" alt="Groq" /> <img src="https://img.shields.io/badge/arXiv-B31B1B?logo=arxiv&logoColor=fff" alt="arXiv" /> </p>
A multi-source academic bibliography search MCP (Machine Context Protocol) server running on Cloudflare Workers. Supports both Chinese and English literature retrieval across 7 academic databases with automatic language detection, query planning, and scoring.
Features
- Multi-source search — arXiv, DBLP, Semantic Scholar, Crossref, OpenAlex, PubMed, Baidu Xueshu
- Automatic language detection — chooses appropriate sources and search strategies for Chinese vs English queries
- LLM-powered query planning — uses Groq API to build optimal boolean search queries from natural language
- Dictionary fallback — built-in Chinese academic vocabulary dictionary when LLM is unavailable
- Medical query detection — auto-routes biomedical queries to PubMed
- Deduplication & scoring — relevance-based ranking across all sources
- Export formats — CSV and BibTeX support
Usage (MCP)
Configure as an MCP server in your MCP client:
{
"mcpServers": {
"bibliography-search": {
"url": "https://bibliography-search-mcp.example.workers.dev/mcp"
}
}
}
Passing your own API keys
Send your Groq key via request header — it takes precedence over the environment variable:
x-groq-api-key: gsk_your_key_here
Similarly for Baidu Xueshu:
x-baidu-api-key: your_baidu_key
This is useful when the server is shared but each client has their own quota.
Tools
| Tool | Description |
|---|---|
search_papers |
Search academic papers across multiple sources |
analyze_query |
Analyze a query without executing search |
Environment
| Variable | Description |
|---|---|
BAIDU_API_KEY |
Baidu Xueshu API key (for Chinese literature) |
GROQ_API_KEY |
Groq API key (for LLM query planning) |
Deployment
1. Clone and install
git clone https://github.com/your-username/bibliographySearchMCP.git
cd bibliographySearchMCP
npm install
2. Login to Cloudflare
npx wrangler login
3. Set environment variables
npx wrangler secret put GROQ_API_KEY
# paste your Groq API key when prompted
npx wrangler secret put BAIDU_API_KEY
# paste your Baidu Xueshu API key when prompted
4. Deploy
npm run deploy
Your worker will be available at https://bibliography-search-mcp.your-subdomain.workers.dev/mcp.
Updating
npx wrangler deploy
Development
npm install
npm run dev # local dev with wrangler
npm run typecheck # type check
npm run deploy # deploy to Cloudflare Workers
Architecture
User query → [LLM / Dict tokenizer] → search query → [arXiv | DBLP | Semantic Scholar | Crossref | OpenAlex | PubMed | Baidu]
↓
[Deduplicate → Score → Rank]
↓
Result (JSON / CSV / BibTeX)
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。