关于
A professional Model Context Protocol (MCP) server designed for precise author disambiguation and institution resolution using the comprehensive OpenAlex.org API. This server leverages OpenAlex's advanced machine learning models, providing capabilities such as ORCID integration, confidence scoring, and career analysis. It's optimized for agent interaction, delivering rich, structured metadata and handling errors gracefully, while adhering to MCP best practices and efficiently managing API rate limits.
主要功能
- Confidence Scoring with match reasoning
- Automatic Career Stage Determination
- 1 GitHub stars
- ML-Powered Author Disambiguation
- ORCID Integration for high-accuracy matching
- Institution Name Resolution
使用案例
- Accurate identification of authors in research datasets
- Automated expansion and resolution of institutional affiliations
- Retrieval of detailed scholarly work and author profiles for research intelligence
Sponsored