bgpt-paper-search
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.
DeepseekModel
官方收录技能
质量 优秀 · 90
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=k-dense-ai-scientific-agent-skills-skills-bgpt-paper-search-skill-md&format=skill
下载 .skill
标准格式，含 system_prompt 与 model_config，导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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 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-mcp Usage 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
Agent 识别该技能的关键词，点击任意一个即可复制。
该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识（skill/v1） |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类（数组） |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接（本页地址） |
| exported_at | 导出时间（每次下载生成） |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数：provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明（Coze / Dify / Claude / 自定义框架） |
