bgpt-paper-search

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.

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Install skill "bgpt-paper-search" with this command: npx skills add k-dense-ai/claude-scientific-skills/k-dense-ai-claude-scientific-skills-bgpt-paper-search

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

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