AMiner
Integrates with AMiner's academic database to provide paper search by keyword, venue, author, or advanced multi-criteria queries with configurable pagination and sorting options for literature discovery and research workflows.
About
This AMiner MCP server by Scipen AI provides academic paper search and discovery through the AMiner API, offering four specialized tools for searching papers by keyword, venue, author, or advanced multi-criteria queries with configurable pagination and sorting options. Built with TypeScript using the Model Context Protocol SDK and featuring comprehensive error handling, input validation through Zod schemas, and structured JSON response formatting, it includes a paper search assistant prompt template that guides AI interactions for research workflows. The implementation supports up to 10 results per query with sorting by publication year or citation count, making it valuable for researchers conducting literature reviews, academics exploring specific venues or authors, and AI assistants helping users discover and analyze academic publications across various research domains.
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