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Evipedia

Evipedia

Local
evipedia.aiHealth2Updated 7w ago

About Evipedia

Evipedia MCP Server connects AI agents to evipedia.ai, an updated encyclopedia of evidence reviews on health and longevity interventions. It supports review discovery, detailed source and metadata retrieval, and suggestions for new topics.

Key features

  1. 01Search and browse intervention reviews
  2. 02Read conclusions and full reviews
  3. 03Retrieve medical metadata and citations
  4. 04Track recently published or revised reviews
  5. 05Suggest an intervention for review

Use cases

  1. 01Find evidence reviews for an intervention
  2. 02Check review dates and cited PubMed records
  3. 03Follow changes to the review catalogue
  4. 04Submit a topic for a future review

MCP support

Exposes review search, catalogue, updates, conclusion, full-text, metadata, suggestion, and version tools to MCP clients. It can run locally over stdio or be accessed through the hosted HTTP server.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"forever-healthy-evipedia": {
"command": "npx",
"args": [
"-y",
"evipedia-mcp"
]
}
}
}
Run commandnpx -y evipedia-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmevipedia-mcp0.1.30

Tools

8

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
querystringYesSearch query — intervention name, synonym, drug class, or category

Details

From the project README

Version Forever Healthy npm MCP Registry Glama score 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)

  • 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)

{
  "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 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)
Public API Surface

Base URL: https://evipedia.ai

EndpointDescription
GET /reviews.jsonFull catalogue: canonical_name, alternate_names[], permalink, permalink_md, permalink_meta, category, creation_date, dateModified, lastReviewed, er_conclusion
GET /search.jsonSearch index: short_topic, alternate_names, ep_keywords, ep_category, url
GET /updates.jsonChange feed, newest first: title, permalink, status (new/updated), date
GET /{permalink}.mdComplete review as raw Markdown (frontmatter + full body)
GET /{permalink}.meta.jsonFlattened medical metadata: slug, topic, url, datePublished/dateModified/lastReviewed, about (type/name/alternateName), ordered citation[] (name, url, pmid?)
GET /llms.txtAgent/human signpost — includes the stable section anchor list
GET /sitemap.xmlCanonical review URLs
GET /feed.xmlRSS feed of latest updates

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