MCP Check
Ephemeris Time-Series Forecasting
industries.cascade/ephemeris
About Ephemeris Time-Series Forecasting
Ephemeris Time-Series Forecasting is an MCP server published by cascade.industries. Probabilistic time-series forecasts from zero-shot foundation models: routed, single or ensembled.
It runs on your own machine: your AI client starts it from the npm package ephemeris-mcp at version 1.0.0, or you can connect to the hosted version instead.
It asks for one secret: EPHEMERIS_API_KEY. Give it a key with the least access that still works.
Version 1.0.1 was published on 6 October 2026, and the source code is public, so you can read it before installing.
Written from the registry entry. 10 automated checks on the registry entry and the package code: 8 pass, 0 warn, 0 fail, 2 info. How we check.
What it asks for
| Variable | Required | Secret | Description |
|---|---|---|---|
EPHEMERIS_API_KEY | Yes | Yes | Ephemeris API key (pc_live_...), from https://ephemeris.cascade.industries/dashboard/api-keys |
Checks
| Check | Result | Detail |
|---|---|---|
| Source repository linked | Pass | https://github.com/TensorLink-AI/ephemeris-mcp |
| Version pinned | Pass | Every package has an explicit version |
| Remote uses HTTPS | Pass | All remote endpoints use https:// |
| Secrets requested | Info | Asks for 1 secret: EPHEMERIS_API_KEY |
| Known package registry | Pass | All packages come from npm, PyPI, OCI, NuGet or MCPB |
| Namespace ownership | Info | Name verified via domain cascade.industries |
| Registry text aimed at the AI | Pass | Description and settings contain no hidden characters or instructions to the AI |
| Install scripts | Pass | ephemeris-mcp@1.0.0 runs nothing at install |
| Code red flags | Pass | Read 3 files in ephemeris-mcp@1.0.0: no obfuscation, encoded execution, credential reads or data-collection endpoints found |
| Text aimed at the AI | Pass | No hidden characters or instructions to the AI in 3 files, including comments and the README |
Popularity & health: 57 / 100
Worked out from public numbers and our own checks, not from user reviews or ratings. It says how used and how looked-after a server is, not whether it is safe.
0 forks, 6 merged pull requests. Sources: GitHub, npm, PyPI (pypistats.org) and Hacker News (Algolia), fetched 2026-10-31.
What people say
No Hacker News threads link to its source code.
Look further: search Reddit, search Hacker News, read its GitHub issues. These are not reviews we checked.
Facts
| Registry name | industries.cascade/ephemeris |
|---|---|
| Publisher | Domain cascade.industries |
| How the name is verified | Name verified via domain cascade.industries. The registry ties the name prefix to that account or domain; it does not check the code. |
| Type | Local package and a hosted remote |
| Packages | npm ephemeris-mcp 1.0.0 (stdio) |
| Remote endpoints | streamable-http https://ephemeris.cascade.industries/api/mcp |
| Version | 1.0.1 |
| Published | |
| Last updated | |
| Source repository | https://github.com/TensorLink-AI/ephemeris-mcp |
| Website | https://ephemeris.cascade.industries |
| Category | Other (assigned by keyword rule, not by hand) |
Related servers in Other
- Predictalot4/4Self-hosted MCP server for time-series forecasting and tabular ML…
- apple-fm-mcp7/7Apple Foundation Models on-device. Generate, summarize, classify…
- adorbis-mcp7/7Adorbis AI MCP server. One key, 40+ models, auto-routed.
- mcp-yolo7/7An MCP server providing zero-shot object detection and segmentation…
- Foundation3/3Feasibility studies with computed costs, break-even, NPV and IRR.
- chain7/7Foundation MCP server — chain discovery, daemon management, health…