Evipedia

Official registry Health

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

What can you do with Evipedia?

  • 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. `day...
  • 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 ...
  • 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

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package evipedia-mcp
Claude Code
claude mcp add evipedia -- npx -y evipedia-mcp@0.1.30
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "evipedia": {
            "command": "npx",
            "args": [
                "-y",
                "evipedia-mcp@0.1.30"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Evipedia MCP Server
  2. Tools
  3. Install (local or remote)
  4. Try it
  5. Architecture

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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)

{
  "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

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

Frequently asked questions

What is Evipedia?

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

How do I install Evipedia?

It runs on your machine. In Claude Code: claude mcp add evipedia -- npx -y evipedia-mcp@0.1.30. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Evipedia need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is Evipedia open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains Evipedia?

It is published by forever-healthy. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.