Evipedia

Name: Evipedia
Author: forever-healthy

by forever-healthyversion 0.1.30i★ –iRuns on your computer

Registry nameio.github.forever-healthy/evipedia-mcp

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 78/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Clinics & health

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

claude mcp add evipedia -- npx -y evipedia-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "evipedia": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "evipedia-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account forever-healthy, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Clinics & healthi

More stars than 0% of the other 1032 servers in this category
Published to the registry more recently than 36% of the other 1032 servers in this category
Basic checks equal to or better than 100% of the other 1032 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Evipedia safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.30) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Mirobody, FHIR MCP Server, Google Health MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Google Health MCP

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Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

_2026-Forever_Healthy-573D7D.svg)

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`](https://www.npmjs.com/package/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)

"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

"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

Endpoint	Description
`GET /reviews.json`	Full catalogue: `canonical_name`, `alternate_names[]`, `permalink`, `permalink_md`, `permalink_meta`, `category`, `creation_date`, `dateModified`, `lastReviewed`, `er_conclusion`
`GET /search.json`	Search index: `short_topic`, `alternate_names`, `ep_keywords`, `ep_category`, `url`
`GET /updates.json`	Change feed, newest first: `title`, `permalink`, `status` (`new`/`updated`), `date`
`GET /{permalink}.md`	Complete review as raw Markdown (frontmatter + full body)
`GET /{permalink}.meta.json`	Flattened medical metadata: `slug`, `topic`, `url`, `datePublished`/`dateModified`/`lastReviewed`, `about` (`type`/`name`/`alternateName`), ordered `citation[]` (`name`, `url`, `pmid?`)
`GET /llms.txt`	Agent/human signpost — includes the stable section anchor list
`GET /sitemap.xml`	Canonical review URLs
`GET /feed.xml`	RSS feed of latest updates

Evipedia

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Clinics & healthi

Common questions

Alternatives

Mirobody

FHIR MCP Server

Google Health MCP

README from the maker

Evipedia MCP Server

Tools

Install (local or remote)

Try it

Architecture

Public API Surface