TabPFN Scaling Mode – Tabular Foundation Model on millions of rows

Show HN: TabPFN MCP, gives LLMs tools for predictions on tabular data (beta)

Based, TabPFN Scaling Mode – Tabular Foundation Model on millions of rows works in show hn launch.

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Releasing our MCP server that connects AI agents to TabPFN, a foundation model for tabular ML. Beta is open now.If you're building agents that work with tabular data (sales pipelines, customer data, inventory, financial records) you've probably hit this: agents spend tokens generating ML code that doesn't work, or produce unreliable results.TabPFN MCP gives LLMs 2 tools: fit_and_predict (fits a model and runs predictions) and predict (uses a previously fitted model). Your agents don't need to impute missing data, encode categorical features, or preprocess messy tables as TabPFN handles it natively.Available on ChatGPT, Claude, n8n and other major LLMs. Uses streamable HTTP for broad compatib

Within the show hn launch space, the company focuses on its core offering rather than a broad product line.

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Website: priorlabs.ai/deployment/model-context-protocol