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BGPT Paper Search

Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.

Data, AI & Research|v1|Updated 5/18/2026|GitHub source
MCP get_skill({ skillId: "bgpt-paper-search-a6f3a91c" })

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# 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)
#github#broad-capability#external#license-mit#k-dense-ai-scientific-agent-skills#science#math#biology#chemistry#medicine#research#academicgithubclaude-codenodejsmcp-server

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