Forever Healthy 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)

• 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_intervention(intervention, goal?, references?, email?) → submit a new 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

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.

Add the following to your MCP client's config:

{
  "mcpServers": {
    "evipedia": {
      "command": "npx",
      "args": ["-y", "evipedia-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.

Requires Node.js ≥ 18.

Try it

In Claude Code, run the bundled /demo skill to smoke-test the connection — it walks through the read tools (get_version, search_reviews, list_reviews, 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_intervention, which POSTs to evipedia's public suggestion form (Formspree)

Public API Surface

Base URL: https://evipedia.ai