AgingResearch.News

news.agingresearch由 agingresearch.news 发布官方发布者v1.3.1更新于 Nov 3, 2026

基于证据检索每一篇新的衰老研究论文,以及试验、资助、药物管线和新闻。

AI 翻译由 AI 模型根据下方的原文描述翻译,可能有误。

原文描述

Search every new aging paper, judged on evidence, plus trials, grants, drug pipelines and news.

已验证Streamable HTTP可网页运行知识与记忆数据与分析商业与电商

概览

AgingResearch.News 的托管 MCP 服务(agingresearch.news),由 agingresearch.news 发布;无需登录;Streamable HTTP;23 个工具。

暂无 AI 概览:以下信息来自注册中心条目和服务本身。

发布者
agingresearch.news
端点
agingresearch.news
最近检查

安装

在 SourceWeft 中

  1. 打开 控制台中的 AgingResearch.News,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/news.agingresearch%2Fagingresearch-news/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": {
    "agingresearch-news": {
      "type": "http",
      "url": "https://agingresearch.news/api/mcp"
    }
  }
}

README

AgingResearch.News MCP server

[AgingResearch.News]

Every new aging paper, read the minute it lands and judged on what its own work shows. Ask Claude, ChatGPT, Cursor, VS Code or any MCP client about a drug, a gene, an aging clock or a trial, and get answers that cite the papers.

Add it

Paste this address into your client as a remote MCP server (Streamable HTTP):

text
https://agingresearch.news/api/mcp

Lookups work without an account, up to a daily number. Sign in with a free AgingResearch.News account to follow topics and ask your own questions.

Steps for each client: agingresearch.news/connect · Every tool and its arguments: developer docs

Claude Code

bash
claude mcp add --transport http agingresearch-news https://agingresearch.news/api/mcp

VS Code (.vscode/mcp.json)

json
{  "servers": {    "agingresearch-news": { "type": "http", "url": "https://agingresearch.news/api/mcp" }  }}

Cursor (~/.cursor/mcp.json)

json
{  "mcpServers": {    "agingresearch-news": { "url": "https://agingresearch.news/api/mcp" }  }}

Ask it

  • "What human evidence is there for rapamycin in aging? Keep animal and human studies apart and list the findings against."
  • "Find this month's papers on cellular senescence in pulmonary fibrosis, with a link to each paper."
  • "Which senolytic drugs are in clinical trials, and which trials have posted results?"
  • "Who funds work on epigenetic clocks, and how much?"

Then say "Follow cellular senescence for me", and its new papers reach your For you feed and a daily email.

What it covers

  • Papers from PubMed, bioRxiv, medRxiv, arXiv and Europe PMC, each with its study type (human trial, human observational, animal, cells, in silico, review) and whether it is a preprint.
  • Plain-language stories on the papers worth reading.
  • Drugs, supplements, genes, biological processes, diseases and biomarkers, with their findings, contrary findings and replication across labs.
  • Clinical trials, research grants (NIH, the EU, UKRI and Wellcome), conferences and their abstracts, drug and therapy programs in development, and the field's news.

Tools: search_papers, list_papers, get_paper, list_stories, find_entities, get_entity, list_claims, list_trials, get_trial, list_news, list_grants, list_conferences, get_conference, list_assets, get_asset, count_pipeline, ask_arn, start_ultradeep, get_ask_answer, follow, unfollow, list_follows, list_questions.

Read it on the web

Cellular senescence · Epigenetic clocks · RSS and topic feeds

This repository holds the server's public connection manifest (server.json, the record in the official MCP Registry as news.agingresearch/agingresearch-news). The service itself is hosted by AgingResearch.News.

来源:README.md,提交 5824c3b

工具

23

search_papers

Search papers

Use this to find the papers themselves: when the user asks which studies exist or what papers say on a subject in the biology of aging or an age-related disease, often without the word aging: senolytics, epigenetic clocks, partial reprogramming, mitochondria, NAD+, immune aging, ovarian aging and menopause, neurodegeneration, sarcopenia, long-lived species. Pass 2 to 4 key terms, not the question: "rapamycin lifespan humans", not "does rapamycin extend lifespan in humans". Searches the titles and abstracts of every paper AgingResearch.News has read, best match first, by default only papers about aging. Supports "quoted phrases", OR, -exclusions and the filters below. When the terms together find fewer than 3 papers, the results match all but one of them (relaxed: true). The record is not all of PubMed: no match does not mean no study exists. Not for personal medical advice, symptoms or product recommendations. Read one in full with get_paper.

输入参数q必填limitsinceuntilauthorcursorsystemage_linkcategorypreprintstudy_typemin_relevance

list_papers

List new papers

Use this when the user asks what is new: the latest papers in a field, of a study type such as randomized trials, on a body system, or by one author (a name, or an author_id from get_paper). Newest first by the date AgingResearch.News added them, with search_papers' filters and an optional words filter. For the papers that best answer a question, use search_papers.

输入参数qlimitsinceuntilauthorcursorsystemage_linkcategorypreprintstudy_typemin_relevance

get_paper

Get a paper

Use this when the user wants one paper in depth: what it did and found, in which species and how many subjects, its caveats, who wrote it and where they work. Takes a paper id such as MED-42823970 from another tool's results, or the paper's own DOI, PMID, PMCID, arXiv id or a link to it. Returns how it bears on aging, the language it was published in with its own-language title when that is not English, every author with ORCID iD and institutions, its full story (headline, body, why it matters, caveats) when published, the drugs, genes and processes it studies and its findings, and a link to the paper at its source. It does not replace the paper.

输入参数id必填

list_stories

List stories

Use this when the user wants a readable round-up of recent findings: this week in aging research, the notable results in a field, a list for a journal club. AgingResearch.News's plain-language stories about new papers, newest first, each checked against its paper and given with it. For every paper on a question, use search_papers.

输入参数limitsinceuntilcursorsystemcategorystudy_type

find_entities

Find a drug, gene or topic

Use this to find the type and key of what a question names (a drug, supplement or diet, a gene or protein, a biological process, a disease, a biomarker, an organism, a method or a hallmark of aging) before get_entity, list_claims or list_grants. Matches part of a name, a key or a known synonym, case-insensitive: the most-studied entity the words name exactly first, then the rest most-studied first, MeSH headings last, with how many papers involve each. Pass a result's type and key to get_entity.

输入参数qtypelimitcursor

get_entity

Get a drug, gene or topic and its papers

Use this for questions about one drug, supplement, gene, process or disease: is there human evidence, has it been replicated by independent labs, in which species, which trials test it and how many posted no results, who funds it and which companies are tied to it. Takes a type and key from find_entities (intervention rapamycin). Returns the entity and its papers, newest first, with its role in each; for an intervention, gene or process, `evidence` gives its evidence as structure, never a grade. Counts are of the papers AgingResearch.News has read, not all the literature. Not for personal medical advice or doses.

输入参数key必填type必填limitcursormin_relevance

list_claims

List findings

Use this when the user asks what has been found about a relation: does an intervention extend lifespan and in which organisms, what lowers a biomarker. Findings extracted from papers as subject, relation and object (rapamycin extends_lifespan in Mus musculus), with organism, effect size and the paper, newest first. Check one that matters with get_paper. Not for personal medical advice.

输入参数limitcursorobjectsubjectorganismpaper_idrelation

list_trials

List clinical trials

Use this when the user asks about clinical trials on aging or an age-related condition: what is recruiting, what changed lately, which trials test a drug, which companies run them. Trials that bear on human aging, newest registry update first, with phase, status, sponsor, size, conditions, interventions and the latest change. Read one with get_trial.

输入参数qfocuslimitphasesincecursorstatusindustrymin_relevance

get_trial

Get a clinical trial

Use this when the user asks about one clinical trial by its registry number (NCT, ISRCTN, ChiCTR, CTRI, CTIS and others): its design, outcomes and dates, every change recorded and the papers that cite it. Show a WHO ICTRP record with its attribution and the day WHO processed it.

输入参数nct_id必填

list_news

List news

Use this when the user asks about events in aging research and the longevity industry: financings and deals, trial readouts, approvals, policy, conferences. One story per event, newest first, with a link to every outlet that covered it. Not for general or market news.

输入参数qkindlimitsincecursor

list_grants

List research grants

Use this when the user asks who funds work on a target, drug, process or lab, how much and since when. Aging research grants from NIH, the EU (CORDIS), UKRI and Wellcome, newest award first: title, funder, holder, investigators, amount, period and a link to the record. For company financings use list_news.

输入参数qlimitsinceuntilcursorentityfunderholder

list_conferences

List conferences

Use this when the user asks which meetings on aging research and age-related disease are coming up or were just held. The conference calendar, soonest first, then recent ones, each edition with its dates, place and abstracts held. Read one with get_conference.

无需输入参数。

get_conference

Get a conference and its abstracts

Use this when the user asks about one meeting from list_conferences, or what was presented there: its organizer, site and editions; with `edition`, that edition's abstracts most worth reading, each with the paper it was later published as. An abstract is not a peer-reviewed paper.

输入参数id必填limitcursoreditionmin_visibility

list_assets

List drug and therapy programs

Use this when the user asks which drugs or therapies are in development against a target, mechanism, hallmark of aging or age-related disease, who develops them and how far each has got. Drug and therapy programs, furthest stage first, with developers, partners, code names, modality, targets, mechanism, indications with stages and lifespan evidence. Read one with get_asset; count them with count_pipeline. A plan that includes drug and therapy programs reads every record in full; others read an outline, as on the site.

输入参数qkindlimitstagecursortargetcountryhallmarkmodalitymechanismindicationorganisation

get_asset

Get a drug or therapy program

Use this when the user asks about one drug or therapy program by its name or a code name (UBX-1325, BMS-986278): developers and partners, targets, mechanism, modality, indications with stage and source, lifespan evidence, published research, designations (orphan, breakthrough, fast track, PRIME), patents and exclusivity, development status by country, the next catalyst (a PDUFA date, an advisory committee, a readout) and the newest events from filings and regulators. A plan that includes drug and therapy programs reads every record in full; others read an outline, as on the site.

输入参数key必填

count_pipeline

Count the development pipeline

Use this when the user asks how many drug and therapy programs there are, or how a field's pipeline splits. Counts programs by stage, modality, target, hallmark, indication, the developer's country or the developer, each group by stage. Takes list_assets' filters: by=target with indication=obesity counts the targets of obesity programs. A plan that includes drug and therapy programs reads every record in full; others read an outline, as on the site.

输入参数qbykindlimitstagetargetcountryhallmarkmodalitymechanismindicationorganisation

follow

Follow a topic

Use this when the user asks to follow a drug, gene, process, disease or other entity on AgingResearch.News, so its new papers reach them in For you and the daily follow email. Takes a type and key from find_entities or get_entity.

输入参数key必填type必填

unfollow

Stop following a topic

Use this when the user asks to stop following an entity on AgingResearch.News. Takes a type and key from list_follows, find_entities or get_entity.

输入参数key必填type必填

list_follows

List what the user follows

Use this when the user asks what they follow on AgingResearch.News: entities and saved searches, newest first, each with its page; an entity's id is the type:key unfollow takes.

无需输入参数。

list_questions

List the user's questions to AgingResearch.News

Use this when the user asks about questions they asked AgingResearch.News (Ask) before: their recent conversations, newest first, each with its title and address.

输入参数limit

ask_arn

Ask AgingResearch.News

Use this when the user wants a written, cited answer rather than a list of papers, to a research question on the biology of aging, longevity interventions, age-related disease, or the people and companies of the field (does rapamycin extend lifespan in people, who works on epigenetic clocks). For the papers themselves, use search_papers. Not for personal medical advice, doses or symptoms. Answers in about 350 words from AgingResearch.News's record of papers, trials, approvals, lifespan results, genetics, researchers and companies, with numbered sources, and says when that record is thin. Spends one of the user's Ask questions for the day. Pass conversation_id for a follow-up. If the answer is not ready in the call, read it with get_ask_answer.

输入参数question必填conversation_id

start_ultradeep

Start a full evidence review

Use this when the user asks for a full review of the evidence on a research question in aging or longevity, beyond a short answer. Not for personal medical advice, doses or symptoms. Writes over several minutes a review in five sections: the bottom line, the evidence by kind of study, contradictions and gaps, how far it has got toward patients, what would change the answer. Counts against the user's Ultradeep reviews. Returns at once with the conversation's address and a question_id for get_ask_answer.

输入参数question必填conversation_id

get_ask_answer

Read an Ask answer

Use this when ask_arn or start_ultradeep said an answer is still being written, or the user wants it again: the answer with its numbered sources once written, else where it stands. Waits up to 20 seconds for a short answer nearly done; an Ultradeep review takes several minutes.

输入参数question_id必填

版本历史

2
  1. v1.3.1最新Nov 3, 2026
  2. v1.3.0Oct 12, 2026

评分

已满足适用检查项的 90%

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  • 图标10 分
  • 文档15 分
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