An MCP server that trains and evaluates machine learning models through MCP tools
Project description
ML Trainer MCP
An MCP server that trains and evaluates machine learning models through MCP tools.
Quickstart
uv pip install -e .
uv run ml-trainer-mcp
Or test interactively with the MCP Inspector:
mcp dev src/ml_trainer_mcp/server.py
Tools
| Tool | Description |
|---|---|
load_csv(path) |
Load a CSV file as the active dataset |
dataset_info() |
Shape, dtypes, and summary stats |
list_columns() |
List column names |
missing_values() |
Report missing values per column |
train_linear_regression(target) |
Train a linear regression model |
train_random_forest(target, ...) |
Train a random forest regressor |
evaluate_model(test_size) |
Evaluate the trained model on a held-out split |
predict(input_data) |
Predict on a single new row |
feature_importance() |
Feature importances / coefficients |
Project details
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