Bias Detection MCP
Detect and audit AI bias across protected characteristics — demographic parity, equalized odds, disparate impact analysis
Bias Detection MCP
MCP server for bias detection mcp operations
Overview
Bias Detection MCP provides AI-powered tools via the Model Context Protocol (MCP).
Tools
| Tool | Description |
|---|---|
quick_scan | Describe an AI system in one sentence -> instant bias risk assessment. No API ke |
detect_bias | Analyze text for demographic bias patterns, stereotyping, and unfair language. |
fairness_metrics | Calculate fairness metrics from prediction data. Input format: comma-separated v |
mitigation_recommendations | Get detailed remediation steps for a specific type of AI bias. |
regulatory_check | Check bias requirements against EU AI Act Article 10 and NIST AI RMF MAP require |
Installation
pip install meok-bias-detection-mcp
Usage with Claude Desktop
Add to your Claude Desktop MCP config (claude_desktop_config.json):
{
"mcpServers": {
"bias-detection-mcp": {
"command": "python",
"args": ["-m", "meok_bias_detection_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
If this tool helps your compliance workflow, please star this repo — it helps other teams find it.
License
MIT © MEOK AI Labs
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