bias-detection-mcp 1.1.2

AI bias detection and fairness assessment for AI agents. Instant bias risk scan, demographic analysis, fairness metrics, mitigation strategies, EU AI Act Article 10 compliance. Zero-config free tier. Built by MEOK AI Labs.

Bias Detection MCP

MCP server for bias detection mcp operations

Quick Install

Client	Install
Claude Desktop
Cursor
VS Code
Windsurf
Docker	docker run -p 8000:8000 bias-detection-mcp
pip	pip install bias-detection-mcp

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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