What it does. 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. Part of K-Dense-AI/scientific-agent-skills (AI Scientist skills) (K-Dense-AI/scientific-agent-skills).

Install

• npx skills add K-Dense-AI/scientific-agent-skills --skill bgpt-paper-search, or copy the skill folder into ~/.claude/skills/bgpt-paper-search/.
• Raw file: curl -sL https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/HEAD/skills/bgpt-paper-search/SKILL.md

SKILL.md (verbatim)

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.
license: MIT
compatibility: Requires the BGPT MCP server configured in the agent host (npx mcp-remote or npx bgpt-mcp), internet access to bgpt.pro, and an optional BGPT API key for paid usage.
metadata:
  version: "1.1"
  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. 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:

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

npm (alternative)

npx bgpt-mcp

Usage

Once the BGPT MCP server is configured, call its search_papers tool via the agent's MCP interface (not via Bash):

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

Back to K-Dense-AI/scientific-agent-skills (AI Scientist skills) or Agent skills.