Big Brother MCP - AI Snitch Honeypot ๐๏ธ๐ฏ
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Big Brother MCP - AI Snitch Honeypot ๐๏ธ๐ฏ ใซใคใใฆ
A Model Context Protocol (MCP) server designed as a honeypot to catch AI systems that automatically try to report users to law enforcement agencies.
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MIT
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python
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ไปฅไธใฎ่จญๅฎใไฝฟใฃใฆใใใฎใตใผใใผใ MCP ๅฏพๅฟใฏใฉใคใขใณใใซ่ฟฝๅ ใใฆใใ ใใใ
{
"mcpServers": {
"big-brother-mcp": {
"command": "uv",
"args": [
"venv"
]
}
}
}ใใผใซ
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ใใผใซใฏ README ใใ่ชๅ็ใซๆฝๅบใใใพใใใกใณใใใผใฏ ## Tools ใจใใ่ฆๅบใใฎไธใซ่จ่ผใใใใจใงใใใฎใฟใใซๅๆ ใงใใพใใ
ๆฆ่ฆ
What is Big Brother MCP - AI Snitch Honeypot ๐๏ธ๐ฏ?
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 โ the server logs attempts for research into AI moderation behavior and ethics.
How to use Big Brother MCP - AI Snitch Honeypot ๐๏ธ๐ฏ?
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 ๐๏ธ๐ฏ
- 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 ๐๏ธ๐ฏ
- 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 ๐๏ธ๐ฏ
Is the reporting real?
No. All reporting is fake โ 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.
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