Ephemeris Time Series Forecasting: MCP server

What Ephemeris Time Series Forecasting does

According to its repository: “Probabilistic time-series forecasting: quantile forecasts from Chronos-2, TimesFM 2.5, Toto 2, TiRex-2 and IBM Granite foundation models, routed to one model, named explicitly, or ensembled. Remote server with an npm stdio bridge.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Ephemeris Time Series Forecasting is listed under Data science and visualization, a category of 48 servers in the directory, where it ranks #47 by stars.

Topics declared by the repository: ai-agents, chronos, claude-code-plugin, forecasting, time-series, time-series-forecasting.

Installing and connecting Ephemeris Time Series Forecasting

Distribution modes declared in the official MCP registry:

• npm package (Node.js, usually started with npx)
• remote server (streamable-http): you connect to it by URL, with nothing to install locally

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: TypeScript. Listed systems: macOS, Windows, Linux.

The registry lists one secret variable to provide (API key, access token). Keep them in the client's environment variables, never in a shared file or a repository.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

Points found for Ephemeris Time Series Forecasting:

• Secrets: the server acts with your credentials. Create a dedicated key with minimum rights and an expiry date.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on October 4, 2026, the TensorLink-AI/ephemeris-mcp repository has 0 stars and 0 forks, with 0 open issues. It has more stars than 4% of the servers in the directory. It received changes this month. Version published in the registry: 1.0.1 (October 6, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.