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BigML MCP Server

Machine Learning made beautifully simple. A company-wide platform that runs in any cloud or on-premises to operationalize Machine Learning in your organization.

Developer Tools

Getting started

Configure and install the MCP server for your preferred client

Configuration

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Client-specific instructions

Follow the instructions below for your specific MCP client

Navigate to Settings, then Cursor Settings
Select MCP on the left
Click Add new global MCP server at the top right
Copy and paste the server config to your existing file, then save

Available tools

Add all 3 actions as tools in your MCP client

Create Batch Prediction

Create a batch prediction given a Supervised Model ID and a Dataset ID. See the docs.

Create Source (Remote URL)

Create a source with a provided remote URL that points to the data file that you want BigML to download for you. See the docs.

Create Model

Create a model based on a given source ID, dataset ID, or model ID. See the docs.

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