agent research skill risk: low
BGPT Scientific Paper Search Guide
This prompt describes how to configure the BGPT remote MCP server and use its search_papers tool to retrieve structured experimental data including methods, results, sample sizes,…
- External action: medium
SKILL 1 file
SKILL.md
---
name: bgpt-paper-search
description: "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 experimenta"
---
# 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)
REQUIRED CONTEXT
- search query for papers
OPTIONAL CONTEXT
- specific experimental details
TOOLS REQUIRED
- search_papers
EXPECTED OUTPUT
- Format
- markdown
- Constraints
- include setup instructions
- describe usage of search_papers tool
- list returned fields
CAVEATS
- Ambiguities
- Description text cuts off mid-word: 'finding experimenta'
QUALITY
- OVERALL
- 0.55
- CLARITY
- 0.75
- SPECIFICITY
- 0.80
- REUSABILITY
- 0.25
- COMPLETENESS
- 0.70
IMPROVEMENT SUGGESTIONS
- Complete the truncated sentence in the description field
- Add explicit placeholders or variables for search queries to improve reusability as a template
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
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