
Bgpt Paper Search
- 956 installs
- 32k repo stars
- Updated July 29, 2026
- k-dense-ai/scientific-agent-skills
bgpt-paper-search is a scientific literature skill that retrieves structured experimental data and quantitative results from full-text papers via the BGPT MCP server for developers who need evidence beyond abstracts.
About
bgpt-paper-search is a scientific-agent skill (version 1.1) that searches papers through the BGPT MCP server and returns 25+ structured fields per study, including methods, results, sample sizes, quality scores, and conclusions extracted from full text. It requires the BGPT MCP server configured in the agent host via npx mcp-remote or npx bgpt-mcp, internet access to bgpt.pro, and an optional BGPT API key for paid usage. Developers reach for bgpt-paper-search during literature reviews, evidence synthesis, or when they need experimental details missing from PubMed abstracts. The skill fits agent workflows that must cite quantitative findings with reproducible field-level data rather than summary paraphrases.
- Searches curated database of full-text scientific papers
- Returns 25+ structured fields per paper including methods, results, sample sizes, quality scores and conclusions
- Extracts quantitative data, effect sizes and experimental details not available in abstracts
- Supports systematic literature reviews and evidence synthesis
- Requires BGPT MCP server (npx bgpt-mcp or npx mcp-remote)
Bgpt Paper Search by the numbers
- 956 all-time installs (skills.sh)
- +41 installs in the week ending Jul 29, 2026 (Skillselion tracking)
- Ranked #1,113 of 16,570 AI & Agent Building skills by installs in the Skillselion catalog
- Security screen: MEDIUM risk (skills.sh audit)
- Data as of Jul 29, 2026 (Skillselion catalog sync)
npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill bgpt-paper-searchAdd your badge
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| Installs | 956 |
|---|---|
| repo stars | ★ 32k |
| Security audit | 2 / 3 scanners passed |
| Last updated | July 29, 2026 |
| Repository | k-dense-ai/scientific-agent-skills ↗ |
How do you extract experimental data from full-text papers?
Retrieve structured experimental data and quantitative results directly from full-text scientific papers instead of relying on abstracts.
Who is it for?
Researchers and ML engineers running agent-driven literature reviews who need quantitative experimental fields from full-text studies.
Skip if: Developers who only need paper titles and abstracts or who cannot configure the BGPT MCP server and network access to bgpt.pro.
When should I use this skill?
The user asks for experimental details, sample sizes, or structured results from scientific papers beyond abstracts.
What you get
Structured paper records with 25+ fields, methods, results tables, and quality scores
- structured paper records
- methods and results fields
- quality-scored citations
By the numbers
- Returns 25+ structured fields per paper
- Skill version 1.1
Files
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. 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.
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-mcpUsage
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:
- 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
Related skills
How it compares
Pick bgpt-paper-search when you need full-text experimental fields for agent synthesis instead of abstract-only search tools.
FAQ
How many fields does bgpt-paper-search return per paper?
bgpt-paper-search returns 25+ structured fields per paper through the BGPT MCP server, covering methods, results, sample sizes, quality scores, and conclusions extracted from full-text studies rather than abstracts alone.
What setup does bgpt-paper-search require?
bgpt-paper-search requires the BGPT MCP server configured in the agent host using npx mcp-remote or npx bgpt-mcp, internet access to bgpt.pro, and an optional BGPT API key for paid usage.
Is Bgpt Paper Search safe to install?
skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.