industries.cascade/ephemeris
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Publisher-provided title
Ephemeris Time-Series Forecasting
Publisher-provided description
Probabilistic time-series forecasts from zero-shot foundation models: routed, single or ensembled.
Summary by lookupd
Generates probabilistic time-series forecasts via zero-shot models, with balance, usage, model listing, and forecast plotting tools.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http ephemeris https://ephemeris.cascade.industries/api/mcp
Claude Code, npm package (stdio)
claude mcp add ephemeris -- npx -y ephemeris-mcp
Codex, remote (streamable-http)
codex mcp add ephemeris --url https://ephemeris.cascade.industries/api/mcp
Codex, npm package (stdio)
codex mcp add ephemeris -- npx -y ephemeris-mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"ephemeris": {
"url": "https://ephemeris.cascade.industries/api/mcp"
}
}
}Cursor, npm package (stdio) → .cursor/mcp.json
{
"mcpServers": {
"ephemeris": {
"command": "npx",
"args": [
"-y",
"ephemeris-mcp"
]
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (7 tools)
Publisher-provided text
get_versionRead this deployed MCP server's version, nullable build commit and supported saved forecast schema versions. Call with {}. No API key, account access, inferencedescribe_forecastDeterministic calculations from a complete ephemeris.forecast v1 artifact object, including CLI artifacts. No inference or forecast charge; this hosted tool stiplot_forecastRender a complete ephemeris.forecast v1 artifact object as PNG (default inline preview) or SVG (embedded resource to save). No inference or forecast charge; hosforecastSubmit numeric observations to forecast future sampling steps. Spends credits on successful calls. Choose and retain idempotency_key before submitting; no automlist_modelsDiscover the model panel: each model's availability right now (healthy), capabilities (multivariate, covariates, max_horizon, auto_max_horizon), its weight in aget_balanceReturn the account's spendable credit balance in millicredits, excluding credits reserved by in-progress forecasts. 1000 millicredits equal one credit.get_usageReturn the account's forecast request log, newest first, with the mode, models used, series count, horizon, credits estimated and settled, HTTP status and laten
Details
- Version: 1.0.1
- Transports: streamable-http, stdio
- Uptime (7 days): 100%
- Median latency: 646 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/TensorLink-AI/ephemeris-mcp
- Website: https://ephemeris.cascade.industries
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