Server data from the Official MCP Registry
MCP Server for evipedia.ai — evidence-based reviews of health & longevity interventions
About
MCP Server for evipedia.ai — evidence-based reviews of health & longevity interventions
Security Report
A well-architected MCP server for querying evipedia.ai health reviews. Code is clean, properly structured, and authentication is appropriately scoped for the server's read-only public API design. Minor concerns around rate limiting per-machine implementation and uncached get_review fetch operations, but these are non-critical operational issues rather than security vulnerabilities. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 1 high severity). Package verification found 1 issue.
5 files analyzed · 7 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-forever-healthy-evipedia-mcp": {
"args": [
"-y",
"evipedia-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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 toget_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; passdaysfor 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 typedaboutentity with alternate names, and an orderedcitationlist with PubMed PMIDsThe 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 runclaude 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.aiwith 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 |
Reviews
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