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bgpt-paper-search

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 experimental details not available in abstracts alone.

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

安装中心

可直接安装到 9 个框架(另有 Cursor / Windsurf 需转换为 rules 格式)。悬停可查看各框架的技能目录。

方式一 · 复制提示词(推荐)

粘贴给你的 Claude Code,它会自己完成下载和安装(安装文件直接取自原始仓库)

请帮我安装技能「bgpt-paper-search」:
1. 从原始仓库下载技能文件:https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/main/skills/bgpt-paper-search/SKILL.md(GitHub 上的 SKILL.md 原始文件)
2. 保存为 ~/.claude/skills/bgpt-paper-search/SKILL.md(目录不存在则创建)
3. 确认文件存在后,告诉我安装结果

方式二 · 命令行安装

npx CLI 跨平台可用(自动检测本机 Agent);PowerShell 方式无需安装任何东西

npx ailine-skills add bgpt-paper-search
New-Item -ItemType Directory -Force "$HOME\.claude\skills\bgpt-paper-search" | Out-Null; curl.exe -fsSL "https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/main/skills/bgpt-paper-search/SKILL.md" -o "$HOME\.claude\skills\bgpt-paper-search\SKILL.md"

方式三 · 前往原始仓库

第三方技能不由本站分发安装文件,请从原始仓库获取(上方命令/提示词已直连原始文件)