{"repo":"porespellar/Zer0Fit","free":true,"listed":false,"github":"https://github.com/porespellar/Zer0Fit","clone":"git clone https://github.com/porespellar/Zer0Fit.git","description":"Zero-shot forecasting, tabular classification, and regression via MCP — exposes Google TimesFM 2.5 and TabFM v1.0.0 to AI assistants. Just attach a CSV and describe what you want to predict.","language":"Python","stars":28,"topics":["classification","forecasting","machine-learning","mcp","open-webui","regression","tabfm","timesfm","zero-shot","zer0fit"],"license":"Apache-2.0","category":"mcp-servers","readme_excerpt":"Zer0Fit — Zero-Shot Forecasting & Tabular MCP Server Zer0Fit exposes Google's TimesFM 2.5 (time-series forecasting) and TabFM v1.0.0 (tabular classification/regression) foundation models to AI assistants via the Model Context Protocol (SSE/Streamable HTTP). Zero-shot means no training required — just connect the MCP to a chat client / harness + LLM of your choice, attach a CSV, and describe what you want to predict. No ML expertise, no hyperparameter tuning, no feature engineering. (Example output from Open WebUI connected to Zer0Fit MCP processing the iris.csv dataset combined with a user prompt) ⚠️ Disclaimer — Use at Your Own Risk Zer0Fit is provided \"AS IS\" without warranties of any kind, and is intended for research and educational purposes only . The developer is not responsible for the accuracy of predictions, classifications, or forecasts produced by the underlying models or the LLM interpreting them. This software must not be used as a basis for financial, medical, legal, safety-critical, or employment decisions. TabFM model weights are non-commercial — see the full Disclaimer. --- Features Feature Details --- --- Time-series forecasting Google TimesFM 2.5 (200M params) — predicts future values from historical data Tabular classification Google TabFM v1.0.0 — predicts categories/labels from tabular data Tabular regression Google TabFM v1.0.0 — predicts continuous numeric values from tabular data Chat-attached file support Use Open WebUI file IDs directly — attach a f","default_branch":null,"files":null,"tree":[],"storefront":"/r/porespellar","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/porespellar/Zer0Fit/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}