Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.
by K-Dense-AI · updated 4d ago · imported from GitHub
BGPT is a remote MCP server that searches a curated database of scientific papers built from raw experimental data extracted from full-text studies. Unlike traditional literature databases that return titles and abstracts, BGPT returns structured data from the actual paper content — methods, quantitative results, sample sizes, quality assessments, and 25+ metadata fields per paper.
When to Use This Skill
Use this skill when:
Searching for scientific papers with specific experimental details
Conducting systematic or scoping literature reviews
Finding quantitative results, sample sizes, or effect sizes across studies
Comparing methodologies used in different studies
Looking for papers with quality scores or evidence grading
Needing structured data from full-text papers (not just abstracts)
Building evidence tables for meta-analyses or clinical guidelines
Setup
BGPT is a remote MCP server — no local installation required. Configure it in your agent's MCP settings before use; this skill instructs the agent to call the search_papers MCP tool and does not enable MCP access by itself.
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K-Dense-AI· 4d agoCommunity