bgpt-paper-search

connerlambden/bgpt-mcp · updated May 15, 2026

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$npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill bgpt-paper-search
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summary

Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server.

skill.md
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:

{
  "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
how to use bgpt-paper-search

How to use bgpt-paper-search on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add bgpt-paper-search
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill bgpt-paper-search

The skills CLI fetches bgpt-paper-search from GitHub repository connerlambden/bgpt-mcp and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/bgpt-paper-search

Reload or restart Cursor to activate bgpt-paper-search. Access the skill through slash commands (e.g., /bgpt-paper-search) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.830 reviews
  • Ganesh Mohane· Dec 12, 2024

    bgpt-paper-search reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Shikha Mishra· Dec 8, 2024

    bgpt-paper-search fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Aanya Mehta· Dec 8, 2024

    bgpt-paper-search has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Yash Thakker· Nov 27, 2024

    bgpt-paper-search is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Emma Rahman· Nov 27, 2024

    Useful defaults in bgpt-paper-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Hassan Abbas· Nov 23, 2024

    Registry listing for bgpt-paper-search matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Dhruvi Jain· Oct 18, 2024

    Keeps context tight: bgpt-paper-search is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Aarav Gonzalez· Oct 18, 2024

    I recommend bgpt-paper-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Hassan Rao· Oct 14, 2024

    bgpt-paper-search reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Luis Jain· Sep 25, 2024

    Keeps context tight: bgpt-paper-search is the kind of skill you can hand to a new teammate without a long onboarding doc.

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