MCP Servers

Explainability Report MCP

Explainability Report - MCP server providing AI-powered tools and automation by MEOK AI Labs

README

Explainability Report MCP

MCP server for explainability report mcp operations

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Overview

Explainability Report MCP provides AI-powered tools via the Model Context Protocol (MCP).

Tools

Tool	Description
`quick_scan`	Describe an AI system -> instant transparency and explainability assessment. No
`generate_model_card`	Generate an EU AI Act compliant model card with structured transparency informat
`explain_decision`	Generate a human-readable explanation of an AI decision.
`transparency_audit`	Assess an AI system against EU AI Act Article 13 transparency requirements.
`create_impact_assessment`	Generate a DPIA/AIIA (AI Impact Assessment) template for an AI system.

Installation

pip install meok-explainability-report-mcp

Usage with Claude Desktop

Add to your Claude Desktop MCP config (claude_desktop_config.json):

{
  "mcpServers": {
    "explainability-report-mcp": {
      "command": "python",
      "args": ["-m", "meok_explainability_report_mcp.server"]
    }
  }
}

Usage with FastMCP

from mcp.server.fastmcp import FastMCP

# This server exposes 5 tool(s) via MCP
# See server.py for full implementation

License

MIT © MEOK AI Labs

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