VREME

Vreme Documentation

Natural language time intelligence for AI assistants.


Quick Start

Get Vreme running in 2 minutes.

1. Install

npm install -g @vreme/temporal-mcp

2. Configure Your AI Client

Add to your MCP client configuration file:

Claude Desktop:

Configuration file location:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

Add this configuration:

{
  "mcpServers": {
    "vreme": {
      "command": "vreme-temporal-mcp"
    }
  }
}

3. Restart & Test

Restart your AI client completely (quit and reopen).

Then ask: "What time is it in Tokyo?"

You should see a rich response with timezone info, astronomical data, and cultural context.

Troubleshooting

MCP Server Not Appearing in Claude

  • Verify the package is installed: which vreme-temporal-mcp
  • Check your config file syntax (must be valid JSON)
  • Make sure you completely quit and restarted your AI client (not just closed the window)
  • Check your client's logs for MCP errors (varies by client/OS)

Connection Issues

  • Ensure you have internet access (queries api.vreme.ai)
  • Check if api.vreme.ai is accessible: curl https://api.vreme.ai/health
  • Firewall/VPN may be blocking the connection

Installation Fails

  • Make sure you have Node.js 18+ installed: node --version
  • Try with sudo (macOS/Linux): sudo npm install -g @vreme/temporal-mcp
  • On Windows, run terminal as Administrator

Queries Return Errors

  • Try simpler queries first: "What time is it in London?"
  • Some location names may not be recognized - try major cities
  • Check the API status page (if you're getting 500 errors)

What is Temporal Intelligence?

Temporal Intelligence is the ability of an AI system to understand time beyond simple timestamps. It involves three dimensions:

  • Chronological Awareness: Timezones, offsets, DST rules.
  • Cultural Context: Calendars (Hebrew, Islamic, etc.), holidays, religious observances.
  • Contextual Appropriateness: Understanding if a time is "good" for an action (calls, meetings, work).

Standard LLMs are "temporally blind" - they don't know what time it is now, and struggle with relative time calculations. Vreme bridges this gap.

Vreme vs Standard APIs

FeatureVremeWorldTimeAPIStandard LLM
Natural Language InputYesNoYes (Hallucinates)
Cultural Calendars5+ SystemsNoPartial
Astronomical DataYes (Precise)NoNo
Activity AppropriatenessYesNoInconsistent

Example Queries

Get a list of all supported queries on the Examples page.

What time is it in Tokyo?
Is it Shabbat in Jerusalem?
When is Ramadan this year?
Good time to call London?
What's the Chinese New Year date?
When does the sun set in Cairo today?