bgpt-paper-search

To extract structured experimental data from full-text scientific papers, this Skill queries a curated database via the BGPT MCP server, returning 25+ metadata fields including methods, quantitative results, and sample sizes.

Yes, you can automate evidence table generation for a literature review by retrieving machine-readable structured data, including quality scores and conclusions, directly from full-text studies.

The best way to gather quantitative results for a meta-analysis is to search papers and extract structured full-text data, capturing specific experimental outputs like sample sizes and methods.

No local database setup is required because the tool operates by accessing a remote MCP server that searches a curated database of pre-processed scientific papers.

Structured full-text search results include 25+ metadata fields per paper, such as title, authors, journal, year, DOI, methods, results, sample sizes, quality scores, and conclusions.

Structured data extraction provides machine-readable results with quantitative metrics and quality assessments, making it superior to basic literature search for automated evidence synthesis and meta-analyses.