BGPT - Scientific Paper Search
Search scientific papers with structured experimental data from full-text studies
我该使用它吗
质量与安全性
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"bgpt-mcp": {
"url": "https://bgpt.pro/mcp/sse"
}
}
}远程端点
https://bgpt.pro/mcp/ssessehttps://bgpt.pro/mcp/streamstreamable-http它能做什么
工具清单
工具（2）
🟢search_papers(query, num_results, days_back, min_citations, study_type, ...)
Search claim-level evidence extracted from full-text scientific papers. Args: query: Search terms (e.g. "CRISPR gene editing efficiency"). SHORT, concise queries are best. English language only. Use days_back, num_results, min_citations, and study_type instead of adding years or filters to the query. num_results: Number of results to return (1-100, default 16). First 50 results are free, then metered per result for paid users. days_back: Only return papers published within the last N days. min_citations: Only return papers with at least this many references cited. study_type: Only return papers of this study type. One of: primary study | systematic review | meta-analysis | narrative review | protocol | dataset | commentary | other. output_format: "evidence" for compact claim-level evidence (default), "legacy" for original paper metadata, or "full" for both. Returns: An envelope whose results list contains papers with claims, experiments, exact results, demonstrated scope, limitations, and provenance.
输入模式
{
"type": "object",
"properties": {
"query": {
"type": "string"
},
"num_results": {
"default": 16,
"type": "integer"
},
"days_back": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null
},
"min_citations": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null
},
"study_type": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null
},
"output_format": {
"default": "evidence",
"type": "string"
}
},
"required": [
"query"
]
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢lookup_paper(doi, output_format)
Look up a single paper by its DOI. Args: doi: The DOI of the paper (e.g. "10.1038/s41586-024-07386-0"). output_format: "evidence" for compact claim-level evidence (default), "legacy" for original paper metadata, or "full" for both. Returns: An envelope with found status and the paper in result, or a not-found message. A found paper counts as one result.
输入模式
{
"type": "object",
"properties": {
"doi": {
"type": "string"
},
"output_format": {
"default": "evidence",
"type": "string"
}
},
"required": [
"doi"
]
}输出模式
{
"type": "object",
"additionalProperties": true
}社区
证据