Skip to main content

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.

Ir a la instalación

Datos de origen

Repositorio
K-Dense-AI/scientific-agent-skills
Última actividad en el origen
26 de julio de 2026 a las 16:29
Idioma detectado de SKILL.md
inglés
Estrellas
45.497
Forks
4126

Opciones de instalación

De forma predeterminada está seleccionado el prompt que primero revisa el origen. Puedes cambiar a un comando directo o descargar una copia local.

Revisa los archivos de origen

Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.

Mostrando SKILL.md

SKILL.md
Instrucciones de origen · Vista previa de solo lectura
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 experimental details not available in abstracts alone.
license
MIT
compatibility
Requires the BGPT MCP server configured in the agent host (npx mcp-remote or npx bgpt-mcp), internet access to bgpt.pro, and an optional BGPT API key for paid usage.
metadata
{"version":"1.1","skill-author":"BGPT","website":"https://bgpt.pro/mcp","github":"https://github.com/connerlambden/bgpt-mcp"}
# 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)
Ver en GitHub