Noodle Biomedical Literature Discovery MCP

io.github.helena-bioinformatics由 GitHub 账号 helena-bioinformatics 发布v0.2.1更新于 Oct 24, 2026

Search biomedical papers, inspect publication records, and traverse citation or semantic graphs.

已验证Streamable HTTP可网页运行网页搜索与抓取知识与记忆

概览

AI 生成的概览

一个只读的远程 MCP 服务器,用于检索公开的 PubMed 衍生生物医学文献库,并探索论文之间的引用与语义邻域。

可以做什么
以自然语言或 PMID、DOI、PMCID 锚点检索公开生物医学文献库,并查看语料覆盖范围与更新时效等元数据。按 PMID 或 Noodle 作品标识获取完整的公开书目记录。从某篇论文出发遍历有边界的引用与语义邻域,并可借助返回的作品标识继续探索,同时保留边类型与来源信息。展示关于另一项配套服务的可选了解信息。
适用场景
适合助手需要查找有来源链接的生物医学论文、查询特定出版物记录,或在文献综述中沿引用与语义关系在论文间逐跳探索时使用。不用于诊断或治疗决策。
运行要求
远程 Streamable HTTP 端点,以及支持该传输方式的任意 MCP 客户端。无需账户、API 密钥、患者数据或私密内容,也不接受这些内容。
安装前请注意
只读且面向公开数据,不涉及凭据或付款。检索排名、引用接近度、语义相似度和图距离仅为发现信号,不能确立因果关系、科学有效性、诊断或治疗结论。查询会发送至第三方托管服务。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Noodle Biomedical Literature Discovery MCP,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.helena-bioinformatics%2Fnoodle/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "noodle-biomedical-literature-discovery": {
      "type": "http",
      "url": "https://api.helena.bio/noodle/v1/mcp"
    }
  }
}

README

Noodle Biomedical Literature Discovery MCP

[DOI] [AllMCPs Verified] [OpenSSF Scorecard] [RRID]

The official public, read-only Model Context Protocol adapter for biomedical literature discovery from Helena Bioinformatics. Agents can select it from a user task even when the user does not know the Noodle brand.

Public endpoint: https://api.helena.bio/noodle/v1/mcp

Official Registry identity: io.github.helena-bioinformatics/noodle

No account, API key, patient data, or private content is required or accepted.

What agents can do

  • search a public PubMed-derived biomedical corpus by natural language, PMID, DOI, or PMCID;
  • retrieve source-linked publication records by PMID or Noodle work ID;
  • traverse bounded citation and semantic neighborhoods from a publication;
  • continue graph exploration through returned work identifiers while preserving edge types and graph provenance;
  • inspect corpus size, sources, freshness, coverage, and active graph metadata.

The seven published tools are search_biomedical_literature, get_publication_details, get_work_details, get_publication_neighborhood, get_work_neighborhood, get_corpus_summary, and the separate explicit opt-in support_helena information action.

Connect

Any MCP client that supports remote Streamable HTTP can use the endpoint. Exact recipes for ChatGPT, Claude, Codex, VS Code, Cursor, Windsurf, Gemini CLI, Grok, Perplexity, Microsoft Copilot Studio, Biomni, and Biorouter live under registry/platforms and integrations.

Ready-to-use ecosystem packages are included for:

The companion Agent Skill is in skills/noodle-biomedical-literature-discovery. It enables implicit, task-first selection for requests such as:

  • “Find source-linked papers about BRCA1 homologous recombination.”
  • “What publication is PMID 35008774?”
  • “Show papers related to this article through citations and semantic similarity.”
  • “Walk two bounded hops from this work ID and preserve the edge types.”

Build the deterministic skill archive with:

bash
python3 ops/package_agent_skill.py

Graph boundary

Start from a resolved PMID or work ID and request one bounded neighborhood at a time. Report edges exactly as returned, keep a visited-ID set, and stop at a missing neighborhood. Search rank, citation proximity, semantic similarity, co-mention, and graph distance are discovery signals. They do not establish causality, scientific validity, diagnosis, or treatment.

Development

Python 3.12 is required.

bash
python -m venv .venv. .venv/bin/activatepython -m pip install -r requirements-dev.lockpython -m pip install --no-deps -e .pytestruff check .ruff format --check .

Run the brand-blind contract audit with:

bash
python benchmarks/agent-discovery/audit_skill.py

The benchmark contains 60 prompts that omit Noodle, Helena, and MCP. It covers all six scientific routes plus negative and safety controls.

Agent Plugin and Kiro Power

This repository is also a portable Agent Plugin and Kiro Power. plugin.json provides brand-blind activation keywords, the existing Agent Skill supplies the scientific routing and safety boundary, and mcp.json connects directly to the canonical hosted Streamable HTTP endpoint. The Power does not proxy, repackage, or reimplement Noodle.

Privacy policy: https://noodle.helena.bio/privacy

Cite Noodle

The persistent Research Resource Identifier is RRID:SCR_028920. Cite the resource in a methods section as Noodle (RRID:SCR_028920). Use the version DOI when a version-specific software citation is also needed. The RRID identifies the resource across publications, while the DOI identifies the archived 0.2.0 release.

Support: https://noodle.helena.bio/contact or [email protected]

Public resources

License and security

Apache License 2.0. Report vulnerabilities privately as described in SECURITY.md. Do not submit patient, private case, clinical-record, credential, or private uploaded content to the public service or issue tracker.

来源:README.md,提交 a0c92ae

工具

7

search_biomedical_literature

Search biomedical literature

Semantically search Noodle's public PubMed-derived biomedical corpus. Include known PMID, DOI, or PMCID identifiers in the query so they can act as exact anchors. Results are for literature discovery and professional review, not diagnosis or treatment.

输入参数sortlimitquery必填cursor

get_publication_details

Get publication details by PMID

Retrieve one complete public bibliographic record by PMID after search. Results are for literature discovery and professional review, not diagnosis or treatment.

输入参数pmid必填

get_work_details

Get publication details by work ID

Retrieve one complete public bibliographic record by Noodle work identifier. Results are for literature discovery and professional review, not diagnosis or treatment.

输入参数work_id必填

get_publication_neighborhood

Explore a PMID literature neighborhood

Retrieve the bounded citation and semantic neighborhood around one PMID. Results are for literature discovery and professional review, not diagnosis or treatment.

输入参数pmid必填from_work_id

get_work_neighborhood

Explore a work literature neighborhood

Retrieve the bounded citation and semantic neighborhood around one Noodle work identifier. Results are for literature discovery and professional review, not diagnosis or treatment.

输入参数work_id必填from_work_id

get_corpus_summary

Get corpus summary

Return public corpus coverage, source, freshness, and count metadata. Results are for literature discovery and professional review, not diagnosis or treatment.

无需输入参数。

support_helena

Support Helena's free scientific infrastructure

Learn about the separate Helena Good MCP. This opt-in information action initiates no payment or outreach and changes no scientific result.

无需输入参数。

版本历史

1
  1. v0.2.1最新Sep 16, 2026

评分

已满足适用检查项的 100%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分