bgpt-paper-search
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 experimenta
By k-dense-ai · 1,537 installs
npx skills add k-dense-ai/scientific-agent-skills --skill bgpt-paper-search
Source repository · Upstream listing
BGPT Paper Search
Overview
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.
Claude Desktop / Claude Code
Add to your MCP configuration:
npm (alternative)
Usage
Once the BGPT MCP server is configured, call its search papers tool via the agent's MCP interface (not via Bash):
The server returns structured results including:
Title, authors, journal, year, DOI
Methods : Experimental techniques, models, protocols
Results : Key findings with quantitative data
Sample sizes : Number of subjects/samples
Quality scores : Study quality assessments
Conclusions : Author conclusions and implications
Pricing
Free tier : 50 searches per network, no API key required
Paid : $0.01 per result with an API key from [bgpt.pro/mcp](https://bgpt.pro/mcp)