Faim Time Series Forecasting

Name: Faim Time Series Forecasting
Author: S-FM

@S-FM

关于 Faim Time Series Forecasting

An MCP server for zero-shot time-series forecasting powered by foundation models such as Chronos 2 and TiRex, with support for multivariate and probabilistic forecasts.

#time-series #forecasting

基本信息

分类

生产力

传输方式

stdio

发布者

S-FM

提交者

Andrei Chernov

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "faim": {
      "command": "npx",
      "args": [
        "-y",
        "@faim-group/mcp"
      ],
      "env": {
        "FAIM_API_KEY": "your-api-key-here"
      }
    }
  }
}

工具

List all available forecasting models and their capabilities. Returns information about Chronos2, TiRex, and other available models, including supported output types and features.

Perform time series forecasting using FAIM platform. Supports both point forecasting (single value) and probabilistic forecasting (confidence intervals). Can handle univariate and multivariate time series data. Currently supported models: Chronos2 (default, recommended for multivariate) and TiRex (fast, univariate only).

概览

What is Faim Time Series Forecasting?

The Faim Time Series Forecasting server is a Model Context Protocol (MCP) server that integrates the FAIM time series forecasting SDK with any MCP-compatible AI assistant. It enables AI-powered zero-shot forecasting using two foundation models: Chronos2 and TiRex.

How to use Faim Time Series Forecasting?

Install Node.js 20+, npm 10+, and obtain a FAIM API key from faim.it.com. Configure your MCP client to run the server via npx -y @faim-group/mcp or the global faim-mcp command, setting the FAIM_API_KEY environment variable. The server provides two tools: list_models to retrieve available models and forecast to perform time series forecasting with point, quantile, or sample outputs.