Enables author disambiguation and institution resolution through the OpenAlex.org API.
Sponsored
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.
Key Features
01Confidence Scoring with match reasoning
02Automatic Career Stage Determination
031 GitHub stars
04ML-Powered Author Disambiguation
05ORCID Integration for high-accuracy matching
06Institution Name Resolution
Use Cases
01Accurate identification of authors in research datasets
02Automated expansion and resolution of institutional affiliations
03Retrieval of detailed scholarly work and author profiles for research intelligence
