---
name: BGPT Paper Search
slug: bgpt-paper-search-3
category: AI Engineering
description: BGPT Paper Search searches scientific papers and returns structured data extracted from full-text studies. Use it for literature reviews, evidence synthesis, and finding methods, results, and sample sizes beyond abstract-level metadata.
github: "https://github.com/LeonChaoX/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"
language: Python
stars: 814
forks: 68
install: "npx degit 'https://github.com/LeonChaoX/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' ~/.claude/skills/bgpt-paper-search"
installs_to: ~/.claude/skills/bgpt-paper-search
source_path: skills/01-论文检索与文献管理/bgpt-paper-search/SKILL.md
collection_size: 25
category_size: 2451
collection_url: "https://dirskills.com/collections/LeonChaoX/qinyan-academic-skills"
added: 2026-08-22T05:22:04.437Z
last_synced: 2026-08-22T05:22:04.437Z
canonical_url: "https://dirskills.com/skills/bgpt-paper-search-3"
---

# BGPT Paper Search

BGPT Paper Search searches scientific papers and returns structured data extracted from full-text studies. Use it for literature reviews, evidence synthesis, and finding methods, results, and sample sizes beyond abstract-level metadata.

**Install:**

```bash
npx degit 'https://github.com/LeonChaoX/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' ~/.claude/skills/bgpt-paper-search
```

## README

# 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.

### Claude Desktop / Claude Code

Add to your MCP configuration:

```json
{
  "mcpServers": {
    "bgpt": {
      "command": "npx",
      "args": ["mcp-remote", "https://bgpt.pro/mcp/sse"]
    }
  }
}
```

### npm (alternative)

```bash
npx bgpt-mcp
```

## Usage

Once configured, use the `search_papers` tool provided by the BGPT MCP server:

```
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](https://bgpt.pro/mcp)

## Complementary Skills

Pairs well with:
- `literature-review` — Use BGPT to gather structured data, then synthesize with literature-review workflows
- `pubmed-database` — Use PubMed for broad searches, BGPT for deep experimental data
- `biorxiv-database` — Combine preprint discovery with full-text data extraction
- `citation-management` — Manage citations from BGPT search results