r-huijts/ethics-check-mcp

Overview

A JavaScript-based MCP server that performs structured ethical analysis of AI conversations. It scans for bias, harmful content, and reasoning pitfalls, while automatically learning from flagged patterns to improve future assessments.

Best for

Best for
Developers building safer AI systems who need an automated, integrable tool for ongoing ethical monitoring.

Use cases

• Audit chatbot logs for biased or harmful responses before deployment
• Embed real-time ethical guardrails into custom AI assistants
• Analyze conversation datasets to train more responsible language models

How to use

Install

npx -y @r-huijts/ethics-vibe-check

Tools exposed

• Ethics Check
• Critical Thinking
• Ethics Guide
• Ethics Learn

Tested with

Cursor, Claude Desktop

Example client config

{\n  "mcpServers": {\n    "ethics-vibe-check": {\n      "command": "npx",\n      "args": [\n        "-y", \n        "@r-huijts/ethics-vibe-check"\n        ]\n    }\n  }\n}

Notes

A JavaScript-based MCP server that performs structured ethical analysis of AI conversations. It scans for bias, harmful content, and reasoning pitfalls, while automatically learning from flagged patterns to improve future assessments.

4 stars on GitHub. Last updated 2025-06-06. Licensed MIT.

Use cases

• Audit chatbot logs for biased or harmful responses before deployment
• Embed real-time ethical guardrails into custom AI assistants
• Analyze conversation datasets to train more responsible language models

Pros

• Automated pattern learning reduces manual oversight over time
• Focuses on concrete, actionable detection of bias and harm
• Integrates as an MCP server for easy addition to existing AI workflows

Cons

• Limited to the ethical dimensions its detection logic covers
• Requires MCP-compatible infrastructure to function
• Pattern learning effectiveness depends on volume and quality of input

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.