Bgpt Paper Search
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add K-Dense-AI/scientific-agent-skills --skill bgpt-paper-searchCompatible with
Supported agents
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, qual..."
| 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 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.
Use this skill when:
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.
Add to your MCP configuration:
{
"mcpServers": {
"bgpt": {
"command": "npx",
"args": ["mcp-remote", "https://bgpt.pro/mcp/sse"]
}
}
}
npx bgpt-mcp
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:
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionbgpt-paper-searchExecute the skills CLI command in your project's root directory to begin installation:
epx add K-Dense-AI/scientific-agent-skills --skill bgpt-paper-searchFetches bgpt-paper-search from K-Dense-AI/scientific-agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/bgpt-paper-search
Restart Cursor to activate bgpt-paper-search. Access via /bgpt-paper-searchin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
peer-review
K-Dense-AI/scientific-agent-skills · Science · same repo
literature-review
K-Dense-AI/scientific-agent-skills · Science · same repo
optimize-for-gpu
K-Dense-AI/scientific-agent-skills · Science · same repo
markdown-mermaid-writing
K-Dense-AI/scientific-agent-skills · Science · same repo
scientific-visualization
K-Dense-AI/scientific-agent-skills · Science · same repo
anndata
K-Dense-AI/scientific-agent-skills · Science · same repo
I recommend bgpt-paper-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added bgpt-paper-search from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: bgpt-paper-search is focused, and the summary matches what you get after install.
Useful defaults in bgpt-paper-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
bgpt-paper-search is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
bgpt-paper-search has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: bgpt-paper-search is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added bgpt-paper-search from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
bgpt-paper-search fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: bgpt-paper-search is focused, and the summary matches what you get after install.
showing 1-10 of 59