bgpt-paper-search

Name: bgpt-paper-search
Availability: InStock
Author: OwnLab

Search scientific papers via the BGPT MCP server and retrieve structured experimental data.

21|1|Updated Mar 19, 2026

Search Tags:#data-extraction #mcp-server #structured-data #full-text #literature-review #evidence-synthesis #research-data

Ready to run

npx skills add https://github.com/OwnLabAI/ownlab --skill bgpt-paper-search-ownlabai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: bgpt-paper-search
Source: https://github.com/OwnLabAI/ownlab/tree/main/mart/skills/scientific-skills/bgpt-paper-search
Command: npx skills add https://github.com/OwnLabAI/ownlab --skill bgpt-paper-search-ownlabai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

BGPT MCP provides structured, full-text data extraction from scientific papers, relieving researchers from manual data gathering and enabling rapid evidence synthesis.

Core Features & Use Cases

Structured extraction of 25+ metadata fields per paper, including methods, results, sample sizes, quality scores, and conclusions.
Ideal for literature reviews, systematic reviews, scoping reviews, and meta-analyses requiring detailed study data.
Supports remote server integration via BGPT MCP, enabling scalable querying and data retrieval.

Quick Start

Run a BGPT MCP query for papers on a topic of interest to fetch structured, full-text metadata.

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 querying via a configured MCP server endpoint, which parses 25+ metadata fields per paper including methods, results, sample sizes, and conclusions to support literature reviews.

What experimental data fields can I retrieve from scientific papers for evidence synthesis?▼

For evidence synthesis, you can retrieve structured experimental data fields including methods, results, sample sizes, quality scores, and conclusions from full-text papers, providing detailed study data for systematic reviews and meta-analyses.

Do I need a configured MCP client to search scientific papers and retrieve structured experimental data?▼

Yes, retrieving structured experimental data requires a configured MCP client and access to the MCP server endpoint, which together enable scalable remote querying and full-text data extraction for research papers.

Can I use full-text paper data extraction for methodological comparisons in scoping reviews?▼

Yes, full-text paper data extraction supports methodological comparisons in scoping reviews by retrieving structured experimental data, including detailed methods and results, enabling rapid evidence synthesis and systematic review preparation.

What is the best way to gather research data for a meta-analysis without manual extraction?▼

The best way to gather research data for a meta-analysis without manual extraction is using structured full-text data retrieval, which parses 25+ metadata fields per paper including sample sizes and quality scores for scalable evidence synthesis.