SERVER

Ephemeris Time-Series Forecasting

Rank #22,679

industries.cascade/ephemeris

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

2 versions

by TensorLink-AI (1 servers)View repository ↗

First listed

Oct 4, 2026

Last publish date

Oct 6, 2026

PURPOSE

What you can do with Ephemeris Time-Series Forecasting

Ephemeris Time-Series Forecasting is a Model Context Protocol (MCP) server published by TensorLink-AI. It ranks #22,679 of 150,963 active servers on MCP Toplist. Ephemeris Time-Series Forecasting is listed across 2 registries — Official MCP and Glama, with 2 tracked versions. It was first listed on Oct 4, 2026 and most recently updated on Oct 6, 2026.

Not verifiedMCP Toplist has not yet written a checked profile for this server, so the paragraph above is assembled from registry data only. The repository README is the authority on what it does.

CAPABILITIES AND LIMITATIONS

What Ephemeris Time-Series Forecasting can and cannot do

Not verifiedMCP Toplist has not catalogued this server's tools or limitations. The repository README lists them.

REQUIREMENTS

What you need before using Ephemeris Time-Series Forecasting

DeclaredAPI keyCredentials declared

The registry listing declares required configuration before first use — typically an API key, token or connection string set via environment variables.

Declared by Glama, last synced Oct 22, 2026. Not independently verified by MCP Toplist.

Declared in the registry install config

EPHEMERIS_API_KEY · required

Hosted endpoint declared as requiring authentication.

INSTALLATION AND FIRST TASK

Connect Ephemeris Time-Series Forecasting and confirm it works

Remote · HTTP

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

This endpoint requires authentication — see the server’s docs for credentials.

npm package

claude mcp add ephemeris -e "EPHEMERIS_API_KEY=<your EPHEMERIS_API_KEY>" -- npx -y ephemeris-mcp

Replace each placeholder with your own value before saving.

Remote · HTTP

[mcp_servers.ephemeris]
url = "https://ephemeris.cascade.industries/api/mcp"

Add to ~/.codex/config.toml. This endpoint requires authentication — see the server’s docs for credentials.

npm package

[mcp_servers.ephemeris]
command = "npx"
args = ["-y", "ephemeris-mcp"]

[mcp_servers.ephemeris.env]
EPHEMERIS_API_KEY = "<your EPHEMERIS_API_KEY>"

Add to ~/.codex/config.toml. Replace each placeholder with your own value before saving.

Remote · HTTP

https://ephemeris.cascade.industries/api/mcp

Settings → Connectors → “Add custom connector”, then paste this URL. This endpoint requires authentication — see the server’s docs for credentials.

npm package

{
  "mcpServers": {
    "ephemeris": {
      "command": "npx",
      "args": [
        "-y",
        "ephemeris-mcp"
      ],
      "env": {
        "EPHEMERIS_API_KEY": "<your EPHEMERIS_API_KEY>"
      }
    }
  }
}

Add to claude_desktop_config.json (Settings → Developer → Edit Config). Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "mcpServers": {
    "ephemeris": {
      "url": "https://ephemeris.cascade.industries/api/mcp"
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project). This endpoint requires authentication — see the server’s docs for credentials.

npm package

{
  "mcpServers": {
    "ephemeris": {
      "command": "npx",
      "args": [
        "-y",
        "ephemeris-mcp"
      ],
      "env": {
        "EPHEMERIS_API_KEY": "<your EPHEMERIS_API_KEY>"
      }
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project). Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "servers": {
    "ephemeris": {
      "type": "http",
      "url": "https://ephemeris.cascade.industries/api/mcp"
    }
  }
}

Save as .vscode/mcp.json in your workspace. This endpoint requires authentication — see the server’s docs for credentials.

npm package

{
  "servers": {
    "ephemeris": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "ephemeris-mcp"
      ],
      "env": {
        "EPHEMERIS_API_KEY": "<your EPHEMERIS_API_KEY>"
      }
    }
  }
}

Save as .vscode/mcp.json in your workspace. Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "mcpServers": {
    "ephemeris": {
      "serverUrl": "https://ephemeris.cascade.industries/api/mcp"
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json. This endpoint requires authentication — see the server’s docs for credentials.

npm package

{
  "mcpServers": {
    "ephemeris": {
      "command": "npx",
      "args": [
        "-y",
        "ephemeris-mcp"
      ],
      "env": {
        "EPHEMERIS_API_KEY": "<your EPHEMERIS_API_KEY>"
      }
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json. Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "mcpServers": {
    "ephemeris": {
      "url": "https://ephemeris.cascade.industries/api/mcp"
    }
  }
}

This endpoint requires authentication — see the server’s docs for credentials.

npm package

{
  "mcpServers": {
    "ephemeris": {
      "command": "npx",
      "args": [
        "-y",
        "ephemeris-mcp"
      ],
      "env": {
        "EPHEMERIS_API_KEY": "<your EPHEMERIS_API_KEY>"
      }
    }
  }
}

Replace each placeholder with your own value before saving.

First successful task

After adding the config, ask your client to list this server's tools. A tool list confirms the connection; an empty list or an error means the server did not start or needs credentials.

MAINTENANCE AND EVIDENCE

What changed, and when this was checked

First listed: Oct 4, 2026
Latest version published: Oct 6, 2026
Version history: 2 versions tracked (below)
Requirements evidence: Declared by Glama, last synced Oct 22, 2026. Not independently verified by MCP Toplist.
Profile checked: Not yet — purpose, capabilities and requirements above come from registry data only
Ranking data as of: Oct 22, 2026

Registry sightings

Glama ↗listed since Oct 4, 2026 · still listed
Official MCP ↗listed since Oct 6, 2026 · still listed

Do you maintain Ephemeris Time-Series Forecasting? to correct or enrich this profile.

VERSIONS

Available versions (2)

Version	Published
1.0.1	Oct 6, 2026
1.0.0	Oct 6, 2026

STANDING

#22,679of 150,963 active serversTop 25%

Ranks ahead of 128,284 of 150,963 servers on MCP Toplist.

BADGE

Show your rank

Maintain this server? Add the live rank badge to your README — it updates automatically as the leaderboard changes.

Markdown

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HTML

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Variants: append ?metric=score or ?metric=stars to the image URL.

FAQ

Frequently asked questions

Who maintains Ephemeris Time-Series Forecasting?: Ephemeris Time-Series Forecasting is maintained by TensorLink-AI, which publishes 1 MCP server (2 total versions) tracked on MCP Toplist.
Is Ephemeris Time-Series Forecasting listed on the Official MCP Registry?: Yes — Ephemeris Time-Series Forecasting is listed on the Official MCP Registry, alongside Glama.
How many versions does Ephemeris Time-Series Forecasting have?: MCP Toplist tracks 2 versions of Ephemeris Time-Series Forecasting, most recently published on Oct 6, 2026.
Where can I find the source code for Ephemeris Time-Series Forecasting?: The source code for Ephemeris Time-Series Forecasting is hosted at github.com/TensorLink-AI/ephemeris-mcp.

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