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來源：Scientific Agent Skills
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BGPT Paper Search

📝學術寫作與文獻

透過 BGPT MCP 搜尋論文並取得全文萃取的結構化實驗資料（方法、樣本數、結果、品質分數等 25+ 欄位）。

安裝方式原始 SKILL.md

安裝教學

選擇你使用的 AI coding agent，複製指令到終端機執行

一鍵安裝（需要 Node.js）
npx skills add K-Dense-AI/scientific-agent-skills --skill bgpt-paper-search -g -a claude-code -y
手動安裝（不使用 npx）
clone 後複製到 skills 目錄
git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills.git
mkdir -p ~/.claude/skills
cp -r scientific-agent-skills/skills/bgpt-paper-search ~/.claude/skills/bgpt-paper-search

Skills 會以 agent 的完整權限執行，安裝前請先閱讀原始 SKILL.md。安裝後重新啟動 agent 即可使用。

使用教學

BGPT Paper Search

概述

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.

使用時機

適用於以下情境：

  • 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

設定

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

用法

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

Evidence checks

For each extracted result, retain the DOI and source section, table, or figure. Verify sample sizes, units, experimental arms, and uncertainty against the paper before using them in a synthesis. Treat provider quality scores as screening aids, not a substitute for a study-specific risk-of-bias assessment. Inspect extraction truncation and coverage; a missing result is not evidence that no study exists.

Pricing

At the 2026-09-30 review, the provider page lists 50 free results, then $0.02 per returned result. This is not 50 free searches. Recheck the current allowance and pricing before a large query batch.

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