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Glama

OpenXAI MCP Server

by Cappybara12
MIT License

load_model

Load pre-trained machine learning models from OpenXAI MCP Server to evaluate AI explanation methods, specifying dataset name and model type (e.g., ANN, LR, RF, SVM, XGB).

Instructions

Load a pre-trained model from OpenXAI

Input Schema

NameRequiredDescriptionDefault
data_nameYesName of the dataset the model was trained on
ml_modelYesType of machine learning model (ann, lr, rf, svm, xgb)
pretrainedNoWhether to load a pretrained model

Input Schema (JSON Schema)

{ "properties": { "data_name": { "description": "Name of the dataset the model was trained on", "type": "string" }, "ml_model": { "description": "Type of machine learning model (ann, lr, rf, svm, xgb)", "enum": [ "ann", "lr", "rf", "svm", "xgb" ], "type": "string" }, "pretrained": { "default": true, "description": "Whether to load a pretrained model", "type": "boolean" } }, "required": [ "data_name", "ml_model" ], "type": "object" }

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Cappybara12/mcpopenxAI'

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