Research Tracker

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The Research Tracker is a powerful server designed to streamline the process of finding and analyzing academic research. It functions as a Model Context Protocol (MCP) server, offering utilities to extract crucial research metadata—such as authors, publication dates, licenses, and relationships between papers, code, models, and datasets—from various online sources. With robust features like URL classification, cross-platform resource discovery, and a user-friendly web interface, it provides a holistic view of the research ecosystem, making complex information easily accessible.

Características Principales

• Cross-platform resource discovery (papers, code, models, datasets)
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• Request caching, rate limiting, and retry logic for performance and reliability
• Security validation and error handling with typed exceptions
• Research metadata extraction (names, dates, licenses, authors)
• URL classification and relationship mapping for research ecosystem analysis

Casos de Uso

• Integrating research metadata inference capabilities with AI assistants like Claude
• Programmatically extracting detailed information about research projects for analysis
• Discovering associated resources (datasets, models, code) for a given research paper