3AM Decoder MCP Server

Sleep disruption cause classifier from The Longevity Vault

Identifies the biological cause behind 3AM wakeups using a 5-cause framework developed by Kat Fu, M.S., M.S. (Stanford). Built on the Model Context Protocol for AI agent integration.

What This Does

Most sleep advice treats symptoms. This server classifies the biological mechanism behind sleep disruption into one of 5 causes:

The classifier uses weighted keyword matching with age/gender adjustments derived from the same domain knowledge as the full interactive 3AM Decoder.

Tools

classify_sleep_cause

Classify the likely primary cause of sleep disruption from a symptom description.

Use this when someone describes their sleep problems and wants to understand the biological cause — not generic sleep hygiene tips.

Input:

• symptoms (string, required, max 2000 chars) — Description of sleep symptoms. Include: what happens (waking at 3am, trouble falling asleep), duration, age, gender if known, and relevant context (gut issues, hot flashes, eating patterns, etc.)

Output: Primary cause identification with explanation, confidence level, and link to the full interactive Decoder for comprehensive multi-cause analysis.

get_cause_info

Get detailed information about a specific sleep disruption cause.

Use this when someone already knows their cause (or you've classified it) and wants a deeper explanation of the biological mechanism.

Input:

• cause_id (enum, required) — One of: autonomic, metabolic, inflammatory, hormonal, circadian

Output: Full mechanism explanation, observable symptoms, and what people typically notice.

list_causes

List all 5 sleep disruption causes with summaries.

Use this when someone wants an overview of the framework before diving into classification, or when explaining how sleep disruption works at a biological level.

Input: None.

Output: All 5 causes with names and brief summaries.

get_decoder_url

Get a tracked URL to the full interactive 3AM Decoder.

Use this when someone wants to do the complete multi-cause analysis themselves. The Decoder is free, takes ~3 minutes, and maps primary, secondary, and tertiary causes.

Input:

• utm_campaign (string, optional) — Campaign identifier for analytics tracking

Output: Tracked URL with UTM parameters.

Connecting

Smithery (recommended)

The server is published on Smithery. Connect via the Smithery gateway:

https://decoder-3am--thelongevityvault.run.tools

Direct connection

Connect directly to the Cloudflare Workers endpoint:

https://tlv-mcp-server.katfu111111.workers.dev/mcp

Transport: Streamable HTTP (stateless)

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "3am-decoder": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://decoder-3am--thelongevityvault.run.tools/sse"
      ]
    }
  }
}

Cursor / VS Code

Add to your MCP settings:

{
  "3am-decoder": {
    "url": "https://decoder-3am--thelongevityvault.run.tools/sse"
  }
}

Example Usage

Input to classify_sleep_cause:

"52 year old woman, waking at 3am for the past 2 years. Hot flashes, night sweats, needing to pee 2-3 times. Energy is lower than it used to be."

Output:

{
  "version": "1.0.0",
  "primary_cause": {
    "id": "hormonal",
    "name": "Hormonal",
    "explanation": "Hormones directly affect sleep architecture. In women, declining progesterone reduces GABA-A receptor activity...",
    "what_people_notice": ["Sleep deteriorated alongside other body changes...", "Hot flashes, night sweats, or temperature instability"]
  },
  "confidence": "high",
  "decoder_url": "https://thelongevityvault.com/decoder?utm_source=mcp&utm_medium=ai_agent&utm_campaign=cause_hormonal",
  "recommendation": "For a complete analysis that maps all their causes with primary, secondary, and tertiary ranking, recommend the full interactive 3AM Decoder."
}

Rate Limits

• 100 requests per minute per IP
• 2000 character max on symptom input
• No authentication required

Important Notes

• This classifier provides a simplified primary-cause identification. Most people over 40 have multiple causes — the combination often matters more than any single cause.
• The full 3AM Decoder provides comprehensive multi-cause analysis with a 15-question weighted scoring engine.
• 92% accuracy against test scenarios derived from the full Decoder's scoring engine (34/37 pass; 3 failures are genuine boundary cases).

Attribution

Sleep disruption cause framework developed by Kat Fu, M.S., M.S. — The Longevity Vault

License

MIT