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82 lines
2.8 KiB
Markdown
82 lines
2.8 KiB
Markdown
---
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name: bgpt-paper-search
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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 experimental details not available in abstracts alone.
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allowed-tools: Bash
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license: MIT
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metadata:
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skill-author: BGPT
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website: https://bgpt.pro/mcp
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github: https://github.com/connerlambden/bgpt-mcp
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---
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# BGPT Paper Search
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## Overview
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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.
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## When to Use This Skill
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Use this skill when:
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- Searching for scientific papers with specific experimental details
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- Conducting systematic or scoping literature reviews
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- Finding quantitative results, sample sizes, or effect sizes across studies
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- Comparing methodologies used in different studies
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- Looking for papers with quality scores or evidence grading
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- Needing structured data from full-text papers (not just abstracts)
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- Building evidence tables for meta-analyses or clinical guidelines
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## Setup
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BGPT is a remote MCP server — no local installation required.
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### Claude Desktop / Claude Code
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Add to your MCP configuration:
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```json
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{
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"mcpServers": {
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"bgpt": {
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"command": "npx",
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"args": ["mcp-remote", "https://bgpt.pro/mcp/sse"]
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}
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}
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}
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```
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### npm (alternative)
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```bash
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npx bgpt-mcp
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```
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## Usage
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Once configured, use the `search_papers` tool provided by the BGPT MCP server:
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```
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Search for papers about: "CRISPR gene editing efficiency in human cells"
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```
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The server returns structured results including:
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- **Title, authors, journal, year, DOI**
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- **Methods**: Experimental techniques, models, protocols
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- **Results**: Key findings with quantitative data
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- **Sample sizes**: Number of subjects/samples
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- **Quality scores**: Study quality assessments
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- **Conclusions**: Author conclusions and implications
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## Pricing
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- **Free tier**: 50 searches per network, no API key required
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- **Paid**: $0.01 per result with an API key from [bgpt.pro/mcp](https://bgpt.pro/mcp)
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## Complementary Skills
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Pairs well with:
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- `literature-review` — Use BGPT to gather structured data, then synthesize with literature-review workflows
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- `pubmed-database` — Use PubMed for broad searches, BGPT for deep experimental data
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- `biorxiv-database` — Combine preprint discovery with full-text data extraction
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- `citation-management` — Manage citations from BGPT search results
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