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Search scientific papers and retrieve structured

Bgpt paper search

by K-Dense-AI · MIT license · ★ 45,977 on GitHub · updated Sep 21

Bgpt paper search cover

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.

---
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.

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.

Manual install (npx, ZIP)
Claude Codenpx skills add K-Dense-AI/scientific-agent-skills --skill bgpt-paper-search -g -a claude-code
Claude Code (manual)mkdir -p ~/.claude/skills && curl -sL https://codeload.github.com/K-Dense-AI/scientific-agent-skills/tar.gz/49c6e97775ea \ | tar -xz -C ~/.claude/skills --strip-components=2 scientific-agent-skills-49c6e97775ea/skills/bgpt-paper-search
Windows (PowerShell)New-Item -ItemType Directory -Force "$HOME\.claude\skills" | Out-Null; Invoke-WebRequest "https://m.agentalley.io/zip/f3cb45b15fbce56ce1b7/bgpt-paper-search.zip" -OutFile "$env:TEMP\bgpt-paper-search.zip"; Expand-Archive "$env:TEMP\bgpt-paper-search.zip" -DestinationPath "$HOME\.claude\skills" -Force
Claude.ai / desktopDownload the ZIP and upload it under Settings → Capabilities → Skills.
Codex, Cursor, other agentsPoint them at SKILL.md. The other files are plain text.

Connects with Agent Alley MCP · agentalley.io/mcp

Files included

  • SKILL.md2.8 KB
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K-Dense-AI/49c6e971 file
SKILL.md
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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:

{
  "mcpServers": {
    "bgpt": {
      "command": "npx",
      "args": ["mcp-remote", "https://bgpt.pro/mcp/sse"]
    }
  }
}
npm (alternative)
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
1---
2name: bgpt-paper-search
3description: 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.
4license: MIT
5compatibility: 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.
6metadata:
7 version: "1.1"
8 skill-author: BGPT
9 website: https://bgpt.pro/mcp
10 github: https://github.com/connerlambden/bgpt-mcp
11---
12 
13# BGPT Paper Search
14 
15## Overview
16 
17BGPT 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.
18 
19## When to Use This Skill
20 
21Use this skill when:
22- Searching for scientific papers with specific experimental details
23- Conducting systematic or scoping literature reviews
24- Finding quantitative results, sample sizes, or effect sizes across studies
25- Comparing methodologies used in different studies
26- Looking for papers with quality scores or evidence grading
27- Needing structured data from full-text papers (not just abstracts)
28- Building evidence tables for meta-analyses or clinical guidelines
29 
30## Setup
31 
32BGPT 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.
33 
34### Claude Desktop / Claude Code
35 
36Add to your MCP configuration:
37 
38```json
39{
40 "mcpServers": {
41 "bgpt": {
42 "command": "npx",
43 "args": ["mcp-remote", "https://bgpt.pro/mcp/sse"]
44 }
45 }
46}
47```
48 
49### npm (alternative)
50 
51```bash
52npx bgpt-mcp
53```
54 
55## Usage
56 
57Once the BGPT MCP server is configured, call its `search_papers` tool via the agent's MCP interface (not via Bash):
58 
59```
60Search for papers about: "CRISPR gene editing efficiency in human cells"
61```
62 
63The server returns structured results including:
64- **Title, authors, journal, year, DOI**
65- **Methods**: Experimental techniques, models, protocols
66- **Results**: Key findings with quantitative data
67- **Sample sizes**: Number of subjects/samples
68- **Quality scores**: Study quality assessments
69- **Conclusions**: Author conclusions and implications
70 
71## Pricing
72 
73- **Free tier**: 50 searches per network, no API key required
74- **Paid**: $0.01 per result with an API key from [bgpt.pro/mcp](https://bgpt.pro/mcp)
75 
76 
View all files on GitHub →

Details

Updated
Sep 21, 2026
License
MIT
Stars on the repo
★ 45,977
Checked
Source
K-Dense-AI/scientific-agent-skills ↗
Creator
K-Dense-AI · 168 listings
View creator

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