claude mcp add evipedia-mcp -- npx -y evipedia-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
2 ★ · forever-healthy/evipedia-mcp · read from the repository page · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 2 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository forever-healthy/evipedia-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
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) 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 - **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)