Evipedia

io.github.forever-healthy由 GitHub 帳號 forever-healthy 發布v0.1.30更新於 Oct 25, 2026

MCP Server for evipedia.ai — evidence-based reviews of health & longevity interventions

概覽

AI 產生的概覽

一個本機 MCP 伺服器,讓助理搜尋並閱讀 Evipedia 關於健康與長壽介入措施的证据综述,並可提出新的综述建議。

可以做什麼
依名稱、同義詞、關鍵字或類別搜尋综述,列出完整的主題與 slug 目錄,或查看近期新增與修訂综述的變更清單(可指定天數範圍)。取得综述的純文字結論、完整 Markdown 原文,或結構化醫學中繼資料,包括综述日期、帶類型的 about 實體,以及含 PubMed PMID 的有序引用清單。向 Evipedia 的公開建議表單提交新介入措施的综述建議。查詢執行中伺服器的套件名稱與版本。
適用情境
適合助理需要依據有引用的證據综述回答健康或長壽介入相關問題、查看某篇综述最近何時更新,或轉達使用者希望新增某综述主題的請求時使用。
執行需求
透過 npx 以 stdio 在本機執行,需要 Node.js 18 或更新版本;不需全域安裝、帳號、API 金鑰或環境變數。對於無法本機安裝的環境,另提供託管的 HTTP 端點。需要能連線至 evipedia.ai 的網路。
安裝前請注意
大致為唯讀,但 suggest_review 會寫入:它會把介入措施、目標、參考文獻與選填電子郵件提交至 Evipedia 的公開建議表單,送出內容即成為第三方資料。综述內容屬一般健康資訊,並非醫療建議。伺服器會從 evipedia.ai 即時取得資料。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Evipedia,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

[Version] [Forever Healthy] [npm] [MCP Registry] [Glama score] [evipedia.ai]

Evipedia MCP Server

A small Model Context Protocol server that lets AI agents query evipedia.ai — our continuously-updated encyclopedia of evidence reviews on health & longevity interventions — and suggest new interventions for review.

Tools

  • search_reviews(query) → matching reviews (name/synonym/keyword/category), each with its URL and conclusion

  • list_reviews() → the full catalogue as {topic, slug} pairs (canonical topic + the slug you pass to get_review/get_conclusion)

  • list_updates(days?) → the change feed, newest first: {title, slug, status, date} per recently published (new) or revised (updated) review. With no arguments it returns the last 7 days, capped at 100 entries; pass days for a wider window (e.g. days: 30)

  • get_conclusion(slug|url) → just the review's plain-text conclusion

  • get_review(slug|url) → the full review as raw Markdown

  • get_metadata(slug|url) → structured medical metadata as JSON — review dates (datePublished/dateModified/lastReviewed, a freshness signal not in the Markdown), the typed about entity with alternate names, and an ordered citation list with PubMed PMIDs

    The read tools accept either a bare slug (e.g. rapamycin) or a full evipedia.ai URL (e.g. https://evipedia.ai/rapamycin) — the URL's last path segment is the slug, so a search result's URL can be passed straight through.

  • suggest_review(intervention, goal?, references?, email?) → submit a new review for an intervention to evipedia's public suggestion form (the same one at evipedia.ai/suggest)

  • get_version() → the running server's package name and version

Install (local or remote)

The server is published to npm as evipedia-mcp and runs over stdio via npx — no global install needed. It's also listed in the official MCP Registry as io.github.forever-healthy/evipedia-mcp, so MCP-aware clients can discover and install it automatically.

Client config: Local MCP (Requires Node.js ≥ 18)

json
{  "mcpServers": {    "evipedia": {      "command": "npx",      "args": ["-y", "evipedia-mcp"]    }  }}

For environments where a local install is not possible or desired, we also provide a hosted MCP server at https://mcp.evipedia.ai/ that can be used over HTTP.

Client config: Remote MCP via HTTP

json
{  "mcpServers": {    "evipedia": {      "type": "http",      "url": "https://mcp.evipedia.ai/mcp"    }  }}
  • Claude Code — add to your project's .mcp.json (or run claude mcp add).
  • Claude Desktop — add to claude_desktop_config.json.
  • Cursor — add to the MCP settings.

Try it

You can use the bundled /demo skill to smoke-test the respective connection.

It walks through the read tools (get_version, search_reviews, list_reviews, list_updates, get_review, get_conclusion, get_metadata) against live evipedia.ai data.

Architecture

The server is a thin client that only uses evipedia.ai's public endpoints. It does not depend on the evipedia content repo — the public surfaces are the API by design.

  • Fetches live from https://evipedia.ai with a small in-process cache (both JSON indexes are tiny)
  • Mostly read-only, no auth required. The one write path is suggest_review, which POSTs to evipedia's public suggestion form (Formspree)

Public API Surface

Base URL: https://evipedia.ai

EndpointDescription
GET /reviews.jsonFull catalogue: canonical_name, alternate_names[], permalink, permalink_md, permalink_meta, category, creation_date, dateModified, lastReviewed, er_conclusion
GET /search.jsonSearch index: short_topic, alternate_names, ep_keywords, ep_category, url
GET /updates.jsonChange feed, newest first: title, permalink, status (new/updated), date
GET /{permalink}.mdComplete review as raw Markdown (frontmatter + full body)
GET /{permalink}.meta.jsonFlattened medical metadata: slug, topic, url, datePublished/dateModified/lastReviewed, about (type/name/alternateName), ordered citation[] (name, url, pmid?)
GET /llms.txtAgent/human signpost — includes the stable section anchor list
GET /sitemap.xmlCanonical review URLs
GET /feed.xmlRSS feed of latest updates

來源:README.md,提交 b94febd

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v0.1.30最新Sep 16, 2026

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