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跨 20+ 数据源搜索、下载并阅读学术论文
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Based on SOC occupation classification
Coordinate multi-agent academic research workflows with sanitized Paperclip-style handoffs, verification gates, and release-safe outputs.
实现前的信心评估：检查理解和准备的充分程度
任意输入（代码、文档、论文、图片）→ 知识图谱 → 聚类社区 → HTML + JSON + 审计报告
知识库维护 — 扫描新资料、入库、健康检查、统计查询
生成 draw.io 图表（.drawio），可选导出 PNG/SVG/PDF
编排端到端自主 AI 研究项目，双循环架构：内循环快速实验迭代，外循环综合分析引导方向
| name | paper-search |
| description | 跨 20+ 数据源搜索、下载并阅读学术论文 |
Search, download, and read academic papers via the paper-search CLI.
All commands run via:
uv run --directory <PAPER_SEARCH_MCP_PATH> paper-search <command> [args]
uv run --directory <PAPER_SEARCH_MCP_PATH> paper-search search "<query>" -n <max_per_source> -s <sources> -y <year>
-n: results per source (default: 5)-s: comma-separated sources or "all" (default: all)-y: year filter for Semantic Scholar (e.g. "2020", "2018-2022")For speed, prefer targeted sources (-s arxiv,semantic,crossref) over "all" unless broad coverage is needed.
uv run --directory <PAPER_SEARCH_MCP_PATH> paper-search download <source> <paper_id> [-o ./downloads]
uv run --directory <PAPER_SEARCH_MCP_PATH> paper-search read <source> <paper_id> [-o ./downloads]
uv run --directory <PAPER_SEARCH_MCP_PATH> paper-search sources
search and download return JSON. read returns plain text. Config warnings go to stderr and can be ignored.
arxiv, pubmed, biorxiv, medrxiv, google_scholar, iacr, semantic, crossref, openalex, pmc, core, europepmc, dblp, openaire, citeseerx, doaj, base, zenodo, hal, ssrn, unpaywall
Optional (env vars): core (PAPER_SEARCH_MCP_CORE_API_KEY), semantic (PAPER_SEARCH_MCP_SEMANTIC_SCHOLAR_API_KEY), unpaywall (PAPER_SEARCH_MCP_UNPAYWALL_EMAIL), doaj (PAPER_SEARCH_MCP_DOAJ_API_KEY), ieee (PAPER_SEARCH_MCP_IEEE_API_KEY), acm (PAPER_SEARCH_MCP_ACM_API_KEY)
read <source> <paper_id>download <source> <paper_id> and report the saved path