---
name: BGPT Paper Search
slug: bgpt-paper-search
category: Data
description: BGPT Paper Search retrieves structured experimental data from scientific papers via the BGPT MCP server. Use it for literature reviews, evidence synthesis, or finding methods, results, sample sizes, and quality scores not available in abstracts alone.
github: "https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/bgpt-paper-search"
language: Python
stars: 33453
forks: 3279
install: "npx degit https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/bgpt-paper-search ~/.claude/skills/bgpt-paper-search"
installs_to: ~/.claude/skills/bgpt-paper-search
source_path: skills/bgpt-paper-search/SKILL.md
collection_size: 25
category_size: 668
collection_url: "https://dirskills.com/collections/K-Dense-AI/scientific-agent-skills"
added: 2026-08-14T07:11:18.976Z
last_synced: 2026-08-14T07:11:18.976Z
canonical_url: "https://dirskills.com/skills/bgpt-paper-search"
---

# BGPT Paper Search

BGPT Paper Search retrieves structured experimental data from scientific papers via the BGPT MCP server. Use it for literature reviews, evidence synthesis, or finding methods, results, sample sizes, and quality scores not available in abstracts alone.

**Install:**

```bash
npx degit https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/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. Configure it in your agent's MCP settings before use; this skill instructs the agent to call the `search_papers` MCP tool and does not enable MCP access by itself.

### 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 the BGPT MCP server is configured, call its `search_papers` tool via the agent's MCP interface (not via Bash):

```
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)