bgpt-paper-search: Research & Knowledge for AI Agents | OpenAgentSkill

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.

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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:

{
  "mcpServers": {
    "bgpt": {
      "command": "npx",
      "args": ["mcp-remote", "https://bgpt.pro/mcp/sse"]
    }
  }
}

npm (alternative)

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

Complementary Skills

Pairs well with:

literature-review — Use BGPT to gather structured data, then synthesize with literature-review workflows
pubmed-database — Use PubMed for broad searches, BGPT for deep experimental data
biorxiv-database — Combine preprint discovery with full-text data extraction
citation-management — Manage citations from BGPT search results

View source ↗

File metadata

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.
allowed-tools: Bash
license: MIT
metadata:
    skill-author: BGPT
    website: https://bgpt.pro/mcp
    github: https://github.com/connerlambden/bgpt-mcp

View original text

---
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.
allowed-tools: Bash
license: MIT
metadata:
    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.

### 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)

## Complementary Skills

Pairs well with:
- `literature-review` — Use BGPT to gather structured data, then synthesize with literature-review workflows
- `pubmed-database` — Use PubMed for broad searches, BGPT for deep experimental data
- `biorxiv-database` — Combine preprint discovery with full-text data extraction
- `citation-management` — Manage citations from BGPT search results

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Open full audit

Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.

Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3

Source & usage notes

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: LeonChaoX/qinyan-academic-skills
License: MIT
Version: 1.0.0
Last GitHub push: Jul 20, 2026
Registry updated: Sep 2, 2026
Instruction path: skills/01-论文检索与文献管理/bgpt-paper-search/SKILL.md @ df5a498a81e0

Version reported in registry metadata; check source releases before relying on it.

Quality

70/100

Strong

Trust

65/100

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open install API LLM text format Open manifest Auto-resolve Plan

More details

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Creator: LeonChaoX
Source: LeonChaoX/qinyan-academic-skills
Indexed by: OpenAgentSkill community index

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Overview

BGPT Paper Search

Overview

When to Use This Skill

Setup

Claude Desktop / Claude Code

npm (alternative)

Usage

Pricing

Complementary Skills

Review the source

Start with one small task

Source & usage notes

Agent access

Related skills

For the creator

Registry indexed

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