BGPT Paper Search

SkillSearch

Lets your agent search scientific papers and pull structured details like methods, results, and sample sizes.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the BGPT Paper Search skill

About this capability

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

What this skill tells your AI

The instructions your AI receives, as published by k-dense-ai/scientific-agent-skills in skills/bgpt-paper-search/SKILL.md and read by ahel’s review.

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

Signals

GitHub stars
45k
Forks
4k
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
bgpt-paper-search-k-dense-ai
Source
github.com/k-dense-ai/scientific-agent-skills