Research Tracker
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Discovers and extracts comprehensive metadata from research papers, code repositories, and AI models using web scraping and API integration.
About
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.
Key Features
- Cross-platform resource discovery (papers, code, models, datasets)
- 0 GitHub stars
- 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
Use Cases
- 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
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