MCP server for key driver and feature importance analysis based on rule mining
MCP server for key driver and feature importance analysis based on rule mining
MCP server for key driver and feature importance analysis. Load any CSV dataset and ask what drives an outcome — survival, credit default, diagnosis, income — and get a ranked breakdown with sub-driver analysis showing not just which factors matter, but how they combine to amplify or completely reverse each other.
araxai >= 0.3.0 - mcp[cli] >= 1.0.0Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| load_dataset | Load a CSV file into session memory |
| list_datasets | List all loaded datasets |
| find_drivers | Find key drivers of a target outcome |
| explain_segment | Driver analysis conditioned on a segment variable (CLARA) |
{
"mcpServers": {
"key-drivers": {
"type": "stdio",
"command": "uvx",
"args": [
"key-drivers-mcp"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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