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bgpt-paper-search

Retrieve structured data from full-text scientific papers via BGPT MCP server.

48|6|Updated Mar 9, 2026
Search Tags:#mcp#data-extraction#structured-data#literature-review#evidence-synthesis#bgpt#scientific-papers
One-click install
npx skills add https://github.com/qinyan-ai/qinyan-academic-skills --skill bgpt-paper-search-qinyan-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bgpt-paper-search
Source: https://github.com/qinyan-ai/qinyan-academic-skills/tree/main/skills/01-%E8%AE%BA%E6%96%87%E6%A3%80%E7%B4%A2%E4%B8%8E%E6%96%87%E7%8C%AE%E7%AE%A1%E7%90%86/bgpt-paper-search
Command: npx skills add https://github.com/qinyan-ai/qinyan-academic-skills --skill bgpt-paper-search-qinyan-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Retrieve structured experimental data from full-text papers, not just abstracts, to support evidence synthesis and data extraction workflows.

Core Features & Use Cases

  • Structured data extraction: Pulls methods, results, sample sizes, quality scores, and 25+ metadata fields from full texts.
  • Literature reviews & evidence synthesis: Facilitates building evidence tables for meta-analyses and guideline development.
  • Complementary workflows: Works with existing literature databases to enrich review pipelines.

Quick Start

Configure a BGPT MCP connection and run a search for your topic to retrieve structured paper data.

Frequently Asked Questions about bgpt-paper-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract structured data from full-text scientific papers for a literature review?▼

You can extract structured data from full-text scientific papers by connecting to a remote BGPT MCP server. This retrieves methods, results, sample sizes, and quality scores, delivering over 25 metadata fields per paper for literature reviews.

Can I retrieve sample sizes and quality scores directly from full texts instead of abstracts?▼

Yes, you can retrieve sample sizes and quality scores directly from full texts. By querying full-text scientific papers via the BGPT MCP server, you bypass abstracts to extract detailed experimental data and 25+ metadata fields.

What is the best way to build an evidence table for meta-analysis and guideline development?▼

Building an evidence table for meta-analysis is best achieved by retrieving structured paper data including methods, results, and quality scores. This facilitates evidence synthesis by pulling 25+ metadata fields per paper from full texts via a BGPT MCP connection.

Do I need a BGPT MCP server to extract methods and results from scientific papers?▼

Yes, access to a BGPT MCP server is required to extract methods and results. The structured data extraction capability depends on this remote server connection to pull 25+ metadata fields from full-text scientific papers.

How does structured data extraction work for evidence synthesis workflows?▼

Structured data extraction for evidence synthesis works by querying full-text scientific papers through a remote BGPT MCP server. It pulls methods, sample sizes, and quality scores, complementing existing literature databases to enrich review pipelines.

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