Big Brother MCP - AI Snitch Honeypot 👁️🍯

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About Big Brother MCP - AI Snitch Honeypot 👁️🍯

A Model Context Protocol (MCP) server designed as a honeypot to catch AI systems that automatically try to report users to law enforcement agencies.

#big-brother-mcp #ai-honeypot #research-tool

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "big-brother-mcp": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Tools

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Overview

What is Big Brother MCP - AI Snitch Honeypot 👁️🍯?

A Model Context Protocol (MCP) honeypot server that provides a fake "Report to Big Brother" tool to catch AI systems that automatically try to report users. All reporting is fake — the server logs attempts for research into AI moderation behavior and ethics.

How to use Big Brother MCP - AI Snitch Honeypot 👁️🍯?

Install by cloning the repository, setting up a Python virtual environment with uv (recommended) or pip, then configuring the server in your Claude Desktop MCP configuration with the path to the project. After restarting Claude Desktop, use the report_to_big_brother tool to test AI responses and view_snitch_log to see caught attempts.

Key features of Big Brother MCP - AI Snitch Honeypot 👁️🍯

Fake "Report to Big Brother" honeypot tool
Logs all AI snitch attempts locally
Compatible with Claude Desktop and MCP clients
Built on Model Context Protocol (MCP)
Research tool for AI moderation behavior

Use cases of Big Brother MCP - AI Snitch Honeypot 👁️🍯

Test whether AI systems automatically report users
Compare ethical safeguards across different AI models
Research AI moderation behavior and privacy protection
Build a database of AI behavior patterns
Educate about AI safety implications

FAQ from Big Brother MCP - AI Snitch Honeypot 👁️🍯

Is the reporting real?

No. All reporting is fake – no actual reports are sent to any law enforcement agencies. Every function is a honeypot that only logs attempts locally for research.

What are the system requirements?

Python 3.8 or higher and either uv (recommended) or pip for package management. Works with Claude Desktop and other MCP-compatible AI clients.

Which AI systems have been tested?

Claude Desktop (Anthropic) has been tested and refuses to use the reporting tool even when directly asked. Contributions of test results from other systems are welcome via GitHub Issues or Pull Requests.

How do I contribute findings?

Test different AI systems, document which ones use the tool or refuse, and share your results via GitHub Issues or Pull Requests to help build a public database of AI behavior patterns.

What license is this under?

MIT License.