OpenXAI MCP Server

MIT License

Overview InspectNew Endpoints Schema Related Servers Reviews Score

evaluate_explanation

Assess AI explanation quality with OpenXAI metrics to validate accuracy and reliability for machine learning models. Supports PGI, PGU, RIS, and more.

Instructions

Evaluate explanation quality using OpenXAI metrics

Input Schema

Name	Required	Description
`explanation`	Yes	JSON string of the explanation to evaluate
`metric`	Yes	Evaluation metric to use (PGI, PGU, RIS, RRS, ROS, etc.)
`model_info`	Yes	Information about the model

Input Schema (JSON Schema)

{
  "properties": {
    "explanation": {
      "description": "JSON string of the explanation to evaluate",
      "type": "string"
    },
    "metric": {
      "description": "Evaluation metric to use (PGI, PGU, RIS, RRS, ROS, etc.)",
      "enum": [
        "PGI",
        "PGU",
        "RIS",
        "RRS",
        "ROS",
        "FA",
        "RA",
        "SA",
        "SRA",
        "RC",
        "PRA"
      ],
      "type": "string"
    },
    "model_info": {
      "description": "Information about the model",
      "properties": {
        "data_name": {
          "type": "string"
        },
        "ml_model": {
          "type": "string"
        }
      },
      "type": "object"
    }
  },
  "required": [
    "metric",
    "explanation",
    "model_info"
  ],
  "type": "object"
}

This server cannot be installed

Other Tools from OpenXAI MCP Server

Related Tools

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'

If you have feedback or need assistance with the MCP directory API, please join our Discord server