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Evipedia MCP

Query evipedia.ai reviews, conclusions, metadata, updates, and public requests through MCP.

Install Evipedia MCP

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "evipedia-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "evipedia-mcp"
      ]
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Automated check passed— started and listed 8 tools correctly (12d ago).

Overview

The evipedia-mcp MCP server lets AI agents query evipedia.ai, an encyclopedia of evidence reviews covering health and longevity interventions. It retrieves review content, conclusions, metadata, catalogue entries, and recent updates through evipedia.ai's public endpoints, with a local cache for small JSON indexes. Agents can also submit intervention suggestions through the public suggestion form. Use it when an agent needs current evipedia.ai review evidence, citations, dates, or review discovery.

Use cases

  • Search evipedia.ai reviews by intervention or category
  • Retrieve a review conclusion for an agent response
  • Check publication and review freshness dates
  • Inspect citations and PubMed identifiers
  • Submit an intervention for future review

Key features

  • Searches reviews by name, synonym, keyword, or category
  • Retrieves full reviews as Markdown
  • Returns conclusions and structured metadata
  • Lists new and revised reviews
  • Submits public review suggestions
  • Supports local stdio and hosted HTTP connections

Tools8

What Evipedia MCP lets your agent do. Expand a tool for its parameters.

Verified live~1.5k tokens of context

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 3d ago

Recent health check succeeded.

10/10 checks healthy over the last 52d

What it can do

From the 8 tools this server returned when we ran it.

Handles credentials · 1Makes network requests · 5Read-only tools · 8
Network at startup3 connections
Files written at startupNone
Install scriptsNone
npm provenanceNot published
Package age108 days
Maintainers1

Observed 2026-10-22 in an isolated sandbox. A description of reach, not a security audit.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 11d ago via OSV.dev · evipedia-mcp (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars2Stargazers on the source repository.
npm downloads290Package downloads in the last 30 days.
Last commit1mo agoMost recent push to the default branch.
Availability100%Our rolling endpoint + install checks that succeeded.
Install checkPassedOur sandbox started it and listed its tools.
Tools exposed8Callable tools this server registers over MCP.
Directory activity1 viewsConfig copies, upvotes, and views on AllMCPs.

How Evipedia MCP works

What evipedia-mcp MCP server does

The evipedia-mcp MCP server connects AI agents to evipedia.ai's public evidence-review content. It is intended for retrieving information about health and longevity interventions, rather than querying a private content repository or a general medical database.

Read operations cover review discovery, complete review text, conclusions, metadata, and update history. The server also exposes a write operation for submitting a proposed intervention to evipedia's public suggestion form. A version tool reports the installed package name and version.

How it works

The evipedia-mcp MCP server is a thin client that fetches data from public evipedia.ai endpoints. It does not require authentication for its read operations and does not depend on the evipedia content repository. A small in-process cache is used for the JSON indexes.

Review reads accept either a bare slug, such as rapamycin, or a complete evipedia.ai URL. When given a URL, the server uses its final path segment as the review slug. This allows an agent to pass a URL returned by search directly into a read operation.

The underlying endpoints provide a full catalogue, a search index, an update feed, raw Markdown reviews, flattened metadata, and supporting site feeds and indexes. The suggestion operation sends a POST request to evipedia's public Formspree-backed form.

Setup and configuration

The package is published on npm and can run locally over stdio with Node.js 18 or newer. A local client can launch it without a global installation:

config.json
{
  "mcpServers": {
    "evipedia": {
      "command": "npx",
      "args": ["-y", "evipedia-mcp"]
    }
  }
}

A hosted endpoint is also available at https://mcp.evipedia.ai/mcp for clients that support HTTP MCP connections:

config.json
{
  "mcpServers": {
    "evipedia": {
      "type": "http",
      "url": "https://mcp.evipedia.ai/mcp"
    }
  }
}

No environment variables or authentication settings are specified.

Tools and capabilities

  • search_reviews(query) finds matching reviews by name, synonym, keyword, or category and returns URLs and conclusions.
  • list_reviews() returns canonical topics and slugs for the full catalogue.
  • list_updates(days?) returns recent new or revised reviews, defaulting to seven days and allowing a wider interval.
  • get_review(slug|url) retrieves a complete review as raw Markdown.
  • get_conclusion(slug|url) retrieves only the plain-text conclusion.
  • get_metadata(slug|url) returns review dates, the typed subject and alternate names, and ordered citations that may include PubMed PMIDs.
  • suggest_review(intervention, goal?, references?, email?) submits a new-review suggestion.
  • get_version() reports package information.

Limitations and notes

The content comes from evipedia.ai's public surfaces, so availability and freshness depend on that site. The server is mostly read-only; suggest_review is the stated write path. Update results default to the last seven days and are capped at 100 entries unless a broader day range is supplied.

Reviews

No reviews yet — be the first to share how it worked for you.

Frequently Asked Questions about Evipedia MCP

evipedia-mcp is an MCP server that connects AI agents to evipedia.ai, an evidence-review encyclopedia for health and longevity interventions. Its main tools search and list reviews, retrieve full reviews, conclusions, metadata, and updates, submit review suggestions, and report the package version.

Install it locally by configuring an MCP client to run `npx -y evipedia-mcp` with Node.js 18 or newer. The npm package does not require a global install. You can also configure a client to use the hosted HTTP endpoint at `https://mcp.evipedia.ai/mcp`.

Yes, evipedia-mcp works with Cursor when added through its MCP settings.

Call `get_review` with either a review slug or a full evipedia.ai URL. The server returns the complete review as raw Markdown. Use `search_reviews` first to find matching topics and URLs, or use `get_conclusion` when only the plain-text conclusion is needed.

Yes, `suggest_review` submits an intervention to evipedia's public suggestion form. It accepts an intervention and optional goal, references, and email fields. Read operations do not require authentication, and the suggestion path is the server's documented write operation.

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