Evipedia
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 conclusionlist_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. `day...get_conclusion(slug|url)→ just the review's plain-text conclusionget_review(slug|url)→ the full review as raw Markdownget_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 ...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).
evipedia-mcpclaude mcp add evipedia -- npx -y evipedia-mcp@0.1.30
{
"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.
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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 conclusionlist_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 conclusionget_review(slug|url)→ the full review as raw Markdownget_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 |
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.