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dsh-academic-paper-search

Academic Paper Search

Academic Paper Search bridge for DeepSeek Harness: verified multi-source literature search over the existing MCP server.

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add github:wp-a/dsh-academic-paper-search#addbc69d43275367e6be0949c5eb2ae1e4936a29
READMECompatibilityVersions

Compatibility and provenance

Academic Paper Search is published as dsh-academic-paper-search and currently resolves to version 0.1.0. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
any
Release source
github
Registry updated
8/29/2026

Versions

0.1.0stable
8/29/2026

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0.1.0
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License
MIT
Source
github
GitHub
★ 3
Weekly downloads
0
Last push
8/29/2026
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README

dsh-academic-paper-search

中文主文档 · English

面向 DeepSeek Harness(dsh)的 Academic Paper Search 插件。它是一个薄适配 Bundle:安装官方 @deepseek-ai/dsh-mcp-client,再启动现有的 nature-academic-search Python MCP 服务。检索、去重、引用核验、引文图谱、试验分流和导出仍由同一套运行时负责, 不会复制第二份搜索逻辑。

DeepSeek Harness 当前仍是 developer preview。升级 DSH 或本 Bundle 后,请重新 执行文末的检查命令。

安装

准备:

  • Node.js >= 22.19 和 pnpm(DSH 用它管理 profile 插件)
  • DeepSeek Harness(@deepseek-ai/dsh)
  • uv 提供的 uvx,并已加入 PATH
  • 用于 NCBI 请求的联系邮箱
npm install --global @deepseek-ai/dsh pnpm
export PUBMED_EMAIL=researcher@example.com
dsh plugin --profile web add dsh-academic-paper-search
dsh web

无界面运行可以使用 headless profile:

dsh plugin --profile headless add dsh-academic-paper-search
dsh --profile headless

安装后需要重启目标 profile 才会挂载 Bundle。Python 服务由 MCP client 在 profile 激活时按需启动,查看包信息本身不会发起网络请求。

DSH 中的工具

Bundle 固定使用 academic_search namespace,模型看到的工具名是:

  • mcp__academic_search__search_papers
  • mcp__academic_search__get_paper_by_id
  • mcp__academic_search__get_citation
  • mcp__academic_search__lookup_mesh

默认论文检索跨 Crossref、PubMed、arXiv、OpenAlex 和 Europe PMC,并按 DOI、PMID、 PMCID、arXiv ID、OpenAlex ID 去重。Semantic Scholar 需要显式检索或富化; ClinicalTrials.gov 使用 entity_type="trial" 单独查询,不与论文记录混合。调用 get_paper_by_id(include_relations=true) 可以继续取得 references / cited_by 引文关系。

环境变量与凭据

Bundle 会把下列变量转发给 Python MCP 进程。值来自启动 dsh 的环境,不会写入本包:

变量用途
PUBMED_EMAILPubMed 请求必需
NCBI_API_KEY可选,提升 NCBI 速率上限
CROSSREF_MAILTO可选,进入 Crossref polite pool
OPENALEX_API_KEY可选,提升 OpenAlex 配额
SEMANTIC_SCHOLAR_API_KEY可选,提升 Semantic Scholar 配额

显式转发是有意设计:DSH 会清理子进程继承环境中形似凭据的变量,Bundle 的显式 配置才会保留它们。空值安全,对支持匿名访问的来源不会造成额外影响。

边界

  • 本包不替代学术数据库,也不会把模型输出自动当作引用事实。报告应保留 sources_succeeded、sources_skipped、errors 和核验状态。
  • 本包不增加第二套搜索实现。发布新 Python 版本时,应同步更新 Bundle 的 --from nature-academic-search==... 固定版本。
  • 本包不连接 Google Scholar、Web of Science、Scopus、Embase、CNKI 或万方。
  • 本包不要求可选的 WPIRONMAN AI 中转。中转可以辅助 workflow 计划或摘要级初筛,但不是学术来源,也不会参与 MCP 事实检索。

验证与升级

dsh --version
dsh --profile web --dump-config
npm view dsh-academic-paper-search version

升级时在目标 profile 中重新安装并重启:

dsh plugin --profile web add dsh-academic-paper-search@latest
dsh web

需要可复现部署时,请固定 Bundle 版本,并在更新前审阅 nature-academic-search==0.3.0 这一行。

许可证

MIT。本 Bundle 单独维护于 wp-a/dsh-academic-paper-search; Python MCP 运行时位于 wp-a/nature-academic-search。