Local MCP server for GPU-backed TimesFM 2.5 forecasting, enabling zero-shot time-series forecasting, covariate forecasting, anomaly detection, and CSV forecasting via MCP tools.
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process.env. You'll be asked to provide them before it can run.HF_HOMETIMESFM_MODEL_ID— google/timesfm-2.5-200m-pytorch Hugging Face model id or local model path.[](https://m8ven.ai/mcp/chokukil-timesfm-mcp-zn6c1x)