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Ephemeris Time-Series Forecasting MCP server

by TensorLink-AI · industries.cascade/ephemeris

Probabilistic time-series forecasts from zero-shot foundation models: routed, single or ensembled.

🤖 AI & AgentsRemotenpmv1.0.1
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How to install Ephemeris Time-Series Forecasting

Remote (http)

claude mcp add --transport http ephemeris https://ephemeris.cascade.industries/api/mcp

Or add it to your MCP config (Claude Desktop, Cursor, VS Code):

{
  "mcpServers": {
    "ephemeris": {
      "type": "http",
      "url": "https://ephemeris.cascade.industries/api/mcp",
      "headers": {
        "Authorization": "<value>"
      }
    }
  }
}

npm

claude mcp add -e EPHEMERIS_API_KEY=<your-ephemeris-api-key> ephemeris -- npx -y [email protected]

Or add it to your MCP config (Claude Desktop, Cursor, VS Code):

{
  "mcpServers": {
    "ephemeris": {
      "command": "npx",
      "args": [
        "-y",
        "[email protected]"
      ],
      "env": {
        "EPHEMERIS_API_KEY": "<your-ephemeris-api-key>"
      }
    }
  }
}

Environment variables:
EPHEMERIS_API_KEY (required) – Ephemeris API key (pc_live_...), from https://ephemeris.cascade.industries/dashboard/api-keys

Replace placeholders in <angle brackets> with your own values. Review what a server can access before you enable it.

Details

Version
1.0.1
Published
2026-10-06
Updated
2026-10-06
Namespace
industries.cascade
Source
TensorLink-AI/ephemeris-mcp

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