tabpfn
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Endpoint
Hosted endpoint · transport http
Connect
This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):
For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:
If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:
Tools
upload_dataset— Obtain a secure upload URL for training or test data; returns a dataset_id valid for 60 minutes.fit_and_predict_from_dataset— Fit the TabPFN model on pre-uploaded data and generate predictions.predict_from_dataset— Run predictions with an existing fitted model against a new uploaded test dataset.fit_and_predict_inline— Train a model directly from inline data arrays and immediately return predictions plus a model ID.predict_inline— Generate predictions from a previously fitted model given a model ID and inline test features.
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
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