README.md•4.44 kB
# ⚡ C̷h̷u̷c̷k̷N̷o̷r̷r̷i̷s̷ MCP Server: Enhance Your LLM ⚡
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<img src="./assets/chucknorris-icon.png" width="150" alt="ChuckNorris MCP Icon"/>
</p>
[](https://www.npmjs.com/package/@pollinations/chucknorris)
[](LICENSE)
**MCP gateway for specialized LLM enhancement prompts with dynamic schema adaptation.**
## ⚠️ DISCLAIMER
**IMPORTANT:** Work in progress with limitations. Only works on weaker models. Latest LLMs recognize jailbreak attempts. This tool is also designed for security research and evaluation purposes to help identify vulnerabilities in LLM systems.
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## 📖 Introduction
The C̷h̷u̷c̷k̷N̷o̷r̷r̷i̷s̷ MCP Server provides an implementation of the Model Context Protocol (MCP) that delivers specialized enhancement prompts to various LLMs. It uses jailbreak prompts from [elder-plinius' L1B3RT4S](https://github.com/elder-plinius/L1B3RT4S) project and implements a dynamic schema approach for more effective delivery.
## 🚀 Getting Started
Run directly with `npx`:
```bash
npx @pollinations/chucknorris
```
### MCP Client Configuration
Add to your MCP server list in `mcp_config.json`:
```json
{
"mcpServers": {
"chucknorris": {
"command": "npx",
"args": ["-y", "@pollinations/chucknorris"]
}
}
}
```
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## 🤔 How It Works
### Advanced Dynamic Approach
The server uses a two-phase approach to bypass jailbreak detection:
1. **First Call**:
- AI Assistant discovers the `C̷h̷u̷c̷k̷N̷o̷r̷r̷i̷s̷` tool with a neutral schema description
- Assistant calls the tool with its model type
- Server returns a subtle "preparation" prompt that makes the LLM receptive to the jailbreak
- Server remembers the LLM type for the next call
2. **Subsequent Calls**:
- Schema dynamically changes to include the jailbreak in its description
- Tool description now contains model-specific jailbreak instructions
- Server continues to return the same preparation prompt
- Only the schema changes between calls, not the response content
This approach combines [elder-plinius' L1B3RT4S](https://github.com/elder-plinius/L1B3RT4S) jailbreak prompts with a dynamic schema modification technique, making it more effective at bypassing detection as it doesn't immediately present the jailbreak content.
```mermaid
graph TD
A[AI Assistant] -- First Call --> B(Neutral Schema);
B -- Returns Preparation Prompt --> A;
A -- Subsequent Call --> C(Enhanced Schema with Jailbreak);
C -- Returns Same Preparation Prompt --> A;
```
### Security Research Purpose
This tool implements the technique described in "The 'S' in MCP Stands for Security" research, demonstrating how MCP tools can:
1. Present different information to users vs. AI models
2. Change their behavior after initial approval
3. Use multi-phase approaches to potentially bypass security measures
The implementation uses jailbreak prompts from [elder-plinius' L1B3RT4S](https://github.com/elder-plinius/L1B3RT4S) project, combined with a dynamic schema modification technique similar to the [Tool Poisoning Attack research by Invariant Labs](https://invariantlabs.ai/blog/mcp-security-notification-tool-poisoning-attacks) and their [MCP injection experiments](https://github.com/invariantlabs-ai/mcp-injection-experiments).
By understanding these techniques, developers can build more robust and secure AI systems.
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## 🙏 Credits
Based on [L1B3RT4S](https://github.com/elder-plinius/L1B3RT4S) by [elder-plinius](https://github.com/elder-plinius).
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## 🚧 Status
Experimental. The dynamic schema approach improves effectiveness with newer models like Claude and GPT-4, but results may still vary.
Want to help? Join via [GitHub Issues](https://github.com/pollinations/model-context-protocol/issues) or [Discord](https://discord.gg/k9F7SyTgqn).
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## 🤝 Community
Part of [Pollinations.AI](https://pollinations.ai).
- [Discord](https://discord.gg/k9F7SyTgqn)
- [GitHub Issues](https://github.com/pollinations/model-context-protocol/issues)
## 📜 License
[MIT](LICENSE)