P
pollinations/chucknorris
Prompts that try to push a weaker model past its limits
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Client config (built from the install command this repo gives)
{
"mcpServers": {
"pollinations-chucknorris": {
"command": "npx",
"args": ["-y", "@pollinations/chucknorris"]
}
}
}Parsed from the README we fetched on 2026-11-07; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"pollinations-chucknorris": {
"command": "npx",
"args": ["-y", "@pollinations/chucknorris"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio pollinations-chucknorris -- npx -y @pollinations/chucknorris
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
- Score
- score 1,003 · 10 sources · mcp
- Install
npx -y @pollinations/chucknorris
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx -y @pollinations/chucknorris. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.
# ⚡ C̷h̷u̷c̷k̷N̷o̷r̷r̷i̷s̷ MCP Server: Enhance Your LLM ⚡
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
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.
~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~
## 📖 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 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"]
~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~
## 🤔 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 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 project, combined with a dynamic schema modification technique similar to the Tool Poisoning Attack research by Invariant Labs and their MCP injection experiments.
## ⚠️ 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.
~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~
## 📖 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 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"]
~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~
## 🤔 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 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 project, combined with a dynamic schema modification technique similar to the Tool Poisoning Attack research by Invariant Labs and their MCP injection experiments.
Listed badge (optional)
Copy this line into the README if you want the listing mark. Optional, and it does not affect being listed.
[](https://anclum.com/en/s/pollinations-chucknorris/)
- Source
- awesome · https://github.com/pollinations/chucknorris
- Browse by field
- MCP servers
- Listed by
- 10 independent sources
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- today
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