Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server.
Works with
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:
Fetches bgpt-paper-search from connerlambden/bgpt-mcp 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:
Restart Cursor to activate bgpt-paper-search. Access via /bgpt-paper-search in your agent's command palette.
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.
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| 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 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.
Add to your MCP configuration:
{
"mcpServers": {
"bgpt": {
"command": "npx",
"args": ["mcp-remote", "https://bgpt.pro/mcp/sse"]
}
}
}
npx bgpt-mcp
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:
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
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.
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bgpt-paper-search reduced setup friction for our internal harness; good balance of opinion and flexibility.
bgpt-paper-search fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
bgpt-paper-search has been reliable in day-to-day use. Documentation quality is above average for community skills.
bgpt-paper-search is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in bgpt-paper-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for bgpt-paper-search matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: bgpt-paper-search is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend bgpt-paper-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
bgpt-paper-search reduced setup friction for our internal harness; good balance of opinion and flexibility.
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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