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bgpt-paper-search

Retrieve structured experimental fields from scientific paper full texts via BGPT MCP server.

Updated May 24, 2026
Search Tags:#literature review#evidence synthesis#quality scoring#paper search#experimental data#full-text extraction
One-click install
npx skills add https://github.com/Estrella-231/Mathematical_modeling_tongmeng --skill bgpt-paper-search-estrella-231
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bgpt-paper-search
Source: https://github.com/Estrella-231/Mathematical_modeling_tongmeng/tree/main/.agents/skills/bgpt-paper-search
Command: npx skills add https://github.com/Estrella-231/Mathematical_modeling_tongmeng --skill bgpt-paper-search-estrella-231

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It eliminates the time-consuming task of digging through abstracts to find experimental methods and quantitative results that are often only available in full-text papers.

Core Features & Use Cases

  • Full-text structured retrieval: Returns detailed per-study fields (e.g., methods, results, sample sizes, quality scores, conclusions) extracted from actual paper content.
  • Evidence-focused discovery: Supports systematic and scoping literature reviews, evidence tables, and comparisons of study designs across papers.
  • Quantitative detail harvesting: Finds experimental parameters and metrics that are frequently missing from abstracts alone.

Quick Start

Use bgpt-paper-search to find papers related to a topic like "CRISPR gene editing efficiency in human cells" and retrieve structured experimental fields from full text via the BGPT MCP server.

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 experimental data and methods from full-text scientific papers?▼

To extract experimental data from scientific papers, you need a structured retrieval tool that returns detailed per-study fields like methods, results, and sample sizes directly from full-text content.

What is the best way to collect quantitative results for a systematic literature review?▼

Collecting quantitative results for a systematic literature review requires harvesting structured experimental parameters and metrics from full-text papers, overcoming the detail limitations of abstracts.

Can I get structured study quality scores and sample sizes across multiple papers?▼

You can retrieve structured study quality scores and sample sizes across multiple papers by extracting over 25 structured fields per study, enabling direct cross-study aggregation and comparison.

Do I need a specific server connection to retrieve full-text evidence synthesis data?▼

Yes, retrieving full-text evidence synthesis data requires a BGPT MCP server connection to access and return the 25+ structured experimental fields from the scientific papers.

When should I use full-text extraction instead of abstracts for evidence tables?▼

You should use full-text extraction instead of abstracts for evidence tables when abstracts lack sufficient detail for study method comparison, outcome extraction, and quantitative cross-study aggregation.

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