What problem does it solve? Traditional literature databases return only titles and abstracts, forcing researchers to manually read full-text papers to find experimental details like methods, sample sizes, and quantitative results. This Skill connects to the BGPT MCP server to search a curated database built from raw experimental data extracted from full-text studies. ## Core Features & Use Cases - Structured Full-Text Search: Returns 25+ fields per paper including methods, quantitative results, sample sizes, quality scores, and conclusions. - Evidence Synthesis: Supports systematic reviews, meta-analyses, and evidence table construction with quality-graded study data. - Use Case: A researcher conducting a scoping review on CRISPR gene editing efficiency can query the database and receive structured comparisons of experimental techniques, effect sizes, and study quality across papers without reading each full text. ## Quick Start Configure the BGPT MCP server in your agent's MCP settings, then ask the agent to search for papers about your research topic using the search_papers tool.