This MCP server provides a Model Context Protocol integration for evipedia.ai, focused on evidence-based reviews of health & longevity interventions. It is distributed via npm and listed in the MCP Registry under io.github.forever-healthy/evipedia-mcp. The published README excerpt includes version 0.1.29 and references the Forever Healthy project.
🛠️ Key Features
Evidence-based reviews of health & longevity interventions (evipedia.ai)
🚀 Use Cases
Retrieving evidence-based summaries/reviews for health and longevity interventions
⚡ Developer Benefits
Installable npm package: evipedia-mcp
Discoverable via MCP Registry entry for io.github.forever-healthy/evipedia-mcp
⚠️ Limitations
The provided source data includes no additional tool list, capabilities, or configuration details beyond the above description and README badges.
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.
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.
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)