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.
Overview
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.
Source: https://github.com/DenDen047/claude-scientific-skills · MIT · © 2025 K-Dense Inc.
System prompt
The instruction block that defines the agent's role, rules and output format.
# 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) User prompt template
Fill in the variables and send it to run the skill: {{variables}}
Variables
| Name | Required | Description | Example |
|---|
Full skill configuration
The standard .aiskill file in JSON and YAML.
{
"format": "aiskill/v1",
"skill": {
"name": "bgpt-paper-search",
"slug": "bgpt-paper-search",
"version": "1.0.0",
"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.",
"category": "Research",
"tags": [
"research-science",
"mcp",
"research"
],
"platforms": [
"chatgpt",
"claude-code",
"cursor"
],
"tested_environment": "Agent Skills convention (SKILL.md) — works with Claude Code, Cursor, ChatGPT/Codex and compatible agents",
"license": "MIT"
},
"prompts": {
"system": "# BGPT Paper Search\r\n\r\n## Overview\r\n\r\nBGPT 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.\r\n\r\n## When to Use This Skill\r\n\r\nUse this skill when:\r\n- Searching for scientific papers with specific experimental details\r\n- Conducting systematic or scoping literature reviews\r\n- Finding quantitative results, sample sizes, or effect sizes across studies\r\n- Comparing methodologies used in different studies\r\n- Looking for papers with quality scores or evidence grading\r\n- Needing structured data from full-text papers (not just abstracts)\r\n- Building evidence tables for meta-analyses or clinical guidelines\r\n\r\n## Setup\r\n\r\nBGPT is a remote MCP server — no local installation required.\r\n\r\n### Claude Desktop / Claude Code\r\n\r\nAdd to your MCP configuration:\r\n\r\n```json\r\n{\r\n \"mcpServers\": {\r\n \"bgpt\": {\r\n \"command\": \"npx\",\r\n \"args\": [\"mcp-remote\", \"https://bgpt.pro/mcp/sse\"]\r\n }\r\n }\r\n}\r\n```\r\n\r\n### npm (alternative)\r\n\r\n```bash\r\nnpx bgpt-mcp\r\n```\r\n\r\n## Usage\r\n\r\nOnce configured, use the `search_papers` tool provided by the BGPT MCP server:\r\n\r\n```\r\nSearch for papers about: \"CRISPR gene editing efficiency in human cells\"\r\n```\r\n\r\nThe server returns structured results including:\r\n- **Title, authors, journal, year, DOI**\r\n- **Methods**: Experimental techniques, models, protocols\r\n- **Results**: Key findings with quantitative data\r\n- **Sample sizes**: Number of subjects/samples\r\n- **Quality scores**: Study quality assessments\r\n- **Conclusions**: Author conclusions and implications\r\n\r\n## Pricing\r\n\r\n- **Free tier**: 50 searches per network, no API key required\r\n- **Paid**: $0.01 per result with an API key from [bgpt.pro/mcp](https://bgpt.pro/mcp)",
"user_template": ""
},
"variables": [],
"install": {
"steps": [
{
"title": "Download & unzip",
"detail": "Download the .zip package from SkillVault and unzip it. The bgpt-paper-search/ folder contains SKILL.md plus any companion scripts, references and assets."
},
{
"title": "Copy into your agent skills directory",
"detail": "Move the folder into your agent's skills directory — e.g. ~/.claude/skills/ (Claude Code), .codex/skills/, .cursor/skills/ or your project's .claude/skills/ folder — then restart or reload the session."
},
{
"title": "Use it",
"detail": "Describe the task in natural language; the agent loads the skill automatically when the request matches the skill description."
}
]
},
"usage": {
"steps": []
},
"metadata": {
"author": "SkillVault",
"source": "https://skillvault.top/skills/bgpt-paper-search",
"exported_at": "2026-11-03T07:44:37.526Z"
}
} format: aiskill/v1
skill:
name: bgpt-paper-search
slug: bgpt-paper-search
version: 1.0.0
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.
category: Research
tags:
- research-science
- mcp
- research
platforms:
- chatgpt
- claude-code
- cursor
tested_environment: >-
Agent Skills convention (SKILL.md) — works with Claude Code, Cursor, ChatGPT/Codex and
compatible agents
license: MIT
prompts:
system: "# BGPT Paper Search\r\n\r\n## Overview\r\n\r\nBGPT 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.\r\n\r\n## When to Use This Skill\r\n\r\nUse this skill when:\r\n- Searching for scientific papers with specific experimental details\r\n- Conducting systematic or scoping literature reviews\r\n- Finding quantitative results, sample sizes, or effect sizes across studies\r\n- Comparing methodologies used in different studies\r\n- Looking for papers with quality scores or evidence grading\r\n- Needing structured data from full-text papers (not just abstracts)\r\n- Building evidence tables for meta-analyses or clinical guidelines\r\n\r\n## Setup\r\n\r\nBGPT is a remote MCP server — no local installation required.\r\n\r\n### Claude Desktop / Claude Code\r\n\r\nAdd to your MCP configuration:\r\n\r\n```json\r\n{\r\n \"mcpServers\": {\r\n \"bgpt\": {\r\n \"command\": \"npx\",\r\n \"args\": [\"mcp-remote\", \"https://bgpt.pro/mcp/sse\"]\r\n }\r\n }\r\n}\r\n```\r\n\r\n### npm (alternative)\r\n\r\n```bash\r\nnpx bgpt-mcp\r\n```\r\n\r\n## Usage\r\n\r\nOnce configured, use the `search_papers` tool provided by the BGPT MCP server:\r\n\r\n```\r\nSearch for papers about: \"CRISPR gene editing efficiency in human cells\"\r\n```\r\n\r\nThe server returns structured results including:\r\n- **Title, authors, journal, year, DOI**\r\n- **Methods**: Experimental techniques, models, protocols\r\n- **Results**: Key findings with quantitative data\r\n- **Sample sizes**: Number of subjects/samples\r\n- **Quality scores**: Study quality assessments\r\n- **Conclusions**: Author conclusions and implications\r\n\r\n## Pricing\r\n\r\n- **Free tier**: 50 searches per network, no API key required\r\n- **Paid**: $0.01 per result with an API key from [bgpt.pro/mcp](https://bgpt.pro/mcp)"
user_template: ""
variables: []
install:
steps:
- title: Download & unzip
detail: >-
Download the .zip package from SkillVault and unzip it. The bgpt-paper-search/ folder
contains SKILL.md plus any companion scripts, references and assets.
- title: Copy into your agent skills directory
detail: >-
Move the folder into your agent's skills directory — e.g. ~/.claude/skills/ (Claude Code),
.codex/skills/, .cursor/skills/ or your project's .claude/skills/ folder — then restart or
reload the session.
- title: Use it
detail: >-
Describe the task in natural language; the agent loads the skill automatically when the
request matches the skill description.
usage:
steps: []
metadata:
author: SkillVault
source: https://skillvault.top/skills/bgpt-paper-search
exported_at: "2026-11-03T07:44:37.526Z"
Installation guide
- 1
Download & unzip
Download the .zip package from SkillVault and unzip it. The bgpt-paper-search/ folder contains SKILL.md plus any companion scripts, references and assets.
- 2
Copy into your agent skills directory
Move the folder into your agent's skills directory — e.g. ~/.claude/skills/ (Claude Code), .codex/skills/, .cursor/skills/ or your project's .claude/skills/ folder — then restart or reload the session.
- 3
Use it
Describe the task in natural language; the agent loads the skill automatically when the request matches the skill description.
How to use
Platform compatibility
ChatGPT GPTs
OpenAI
Paste the system prompt into the GPT "Instructions" field and keep the user template as your starter message.
Official docsClaude Code
Anthropic
Save the exported .aiskill JSON as a skill file in your project or paste the system prompt into CLAUDE.md / a slash-command markdown file.
Official docsCursor
Anysphere
Copy the system prompt into .cursor/rules/*.mdc (or Project Rules in Settings) and reference the user template in your agent prompts.
Official docsRelated skills
citation-management
Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.
infographics
Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.
hypogenic
Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use hypothesis-generation; for creative ideation use scientific-brainstorming.