From k-dense-ai-claude-scientific-skills
Searches scientific papers via BGPT MCP server, returning structured experimental data from full-text studies including methods, results, sample sizes, quality scores. Use for literature reviews and evidence synthesis.
How this skill is triggered — by the user, by Claude, or both
Slash command
/k-dense-ai-claude-scientific-skills:bgpt-paper-searchThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
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.
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:
npx claudepluginhub k-dense-ai/scientific-agent-skillsSearches a curated database of scientific papers via the BGPT MCP server, returning 25+ structured fields (methods, results, sample sizes, quality scores, conclusions) from full-text studies. Use for literature reviews or evidence synthesis requiring experimental details beyond abstracts.
Search scientific papers and retrieve structured experimental data from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, and conclusions for literature reviews and evidence synthesis.
Searches scientific papers via BGPT MCP and returns structured experimental data — methods, results, conclusions, quality scores, and 25+ metadata fields per paper.