bgpt-paper-search

name	bgpt-paper-search
description	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.
allowed-tools	Bash
license	MIT
metadata	{"skill-author":"BGPT","website":"https://bgpt.pro/mcp","github":"https://github.com/connerlambden/bgpt-mcp"}

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.

Claude Desktop / Claude Code

Add to your MCP configuration:

{
  "mcpServers": {
    "bgpt": {
      "command": "npx",
      "args": ["mcp-remote", "https://bgpt.pro/mcp/sse"]
    }
  }
}

npm (alternative)

npx bgpt-mcp

Usage

Once configured, use the search_papers tool provided by the BGPT MCP server:

Search for papers about: "CRISPR gene editing efficiency in human cells"

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

Complementary Skills

Pairs well with:

• literature-review — Use BGPT to gather structured data, then synthesize with literature-review workflows
• pubmed-database — Use PubMed for broad searches, BGPT for deep experimental data
• biorxiv-database — Combine preprint discovery with full-text data extraction
• citation-management — Manage citations from BGPT search results