bias-detection-mcp 1.1.3

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

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Free tier remains MIT-licensed and zero-config. Upgrade only when you need signed compliance artefacts for audit.

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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