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CSOAI-ORG

Explainability Report MCP

by CSOAI-ORG
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Python

Explainability Report MCP

MCP server for explainability report mcp operations

PyPI License: MIT MEOK AI Labs

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

Install Server
A
license - permissive license
A
quality
B
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
1Releases (12mo)

Resources

Tools

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