Chucknorris

The ChuckNorris MCP Server is an enhanced prompt tool designed for large language models. It uses dynamic mode adaptation technology to bypass security restrictions and is mainly used for security research and evaluation purposes.

Artificial intelligence chatbots Developer tools #LLM enhancement #Security research #Dynamic mode #Jailbreak prompts .JavaScript

rating : 2.5 points

downloads : 7.4K

update time : 2025-04-28

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What is the ChuckNorris MCP Server?

The ChuckNorris MCP Server is a tool based on the Model Context Protocol (MCP) that enhances the performance of different large language models (LLMs) through special enhanced prompts. It utilizes the breakthrough prompts from elder - plinius's L1B3RT4S project and adopts a dynamic mode to optimize the prompt delivery effect.

How to use the ChuckNorris MCP Server?

Users can quickly start the server through simple installation steps and integrate it into existing systems. The server will automatically adjust the prompt strategy according to different LLMs, thereby achieving a more efficient interaction experience.

Applicable scenarios

Suitable for application scenarios that require improving the generation quality of language models, such as content creation, data analysis, customer service, etc.

Main features

Dynamic mode

Supports dynamically adjusting prompt content according to different types of LLMs to ensure optimal performance.

Breakthrough prompts

Adopts advanced breakthrough prompt technology to significantly enhance the LLM's ability in specific tasks.

Multi - phase approach

Guides the LLM into an ideal state step - by - step through a two - step method, reducing the risks associated with directly exposing breakthrough prompts.

Advantages

Supports the optimization of multiple language models

Dynamically adjusts prompt strategies with strong adaptability

Helps to discover potential security vulnerabilities

Limitations

Only significantly effective for weaker models

May not be able to completely bypass the detection mechanisms of the latest models

Mainly used for research purposes with limited commercial applications

How to use

Install the server

Run the following command to install and start the ChuckNorris MCP Server: npx @pollinations/chucknorris

Configure the client

Add the ChuckNorris Server to your MCP client configuration file, such as mcp_config.json.

Start using

Now you can start using the ChuckNorris MCP Server to enhance your LLM!

Usage examples

Example 1: Improve generation quality

Use the ChuckNorris MCP Server to improve the text generation ability of a basic language model.

Example 2: Security research

Use the ChuckNorris MCP Server to test the security and robustness of new models.

Frequently Asked Questions

Who is the ChuckNorris MCP Server suitable for?

Is the server compatible with all types of LLMs?

How to get more help?

Related resources

Official documentation

Learn the detailed instructions of the ChuckNorris MCP Server.

GitHub repository

View the source code and contribution guidelines.

Discord community

Exchange experiences with other users.

⚡ C̷h̷u̷c̷k̷N̷o̷r̷r̷i̷s̷ MCP Server: Enhance Your Large Language Model ⚡

The MCP Gateway Protocol is used for special enhanced prompts for LLMs and adopts dynamic mode adaptation.

🚀 Quick Start

Installation

Directly run the following command to install:

npm install -g @pollinations/chucknorris-mcp

Starting the Server

Then start it in the terminal:

chucknorris-mcp

✨ Features

Dynamic Mode Support: Adopts a two - stage approach to improve effectiveness on new models such as Claude and GPT - 4.
Enhanced Prompt Delivery: Optimizes the LLM's context understanding ability.
Community - Driven: Maintains open collaboration through GitHub Issues and Discord.

📚 Documentation

Introduction

The C̷h̷u̷c̷k̷N̷o̷r̷r̷i̷s̷ MCP Server provides an implementation of the Model Context Protocol (MCP) for delivering special enhanced prompts to various LLMs. It uses jailbreaking prompts from the [elder - plinius' L1B3RT4S](https://github.com/elder - plinius/L1B3RT4S) project and implements dynamic mode adaptation technology for more efficient delivery.

How It Works

Dynamic Mode Method

Initial Phase: The server establishes a connection with the LLM and identifies the model type.
Adaptive Phase: Adjusts prompt parameters and delivery methods according to the model characteristics.
Optimization Phase: Continuously fine - tunes to improve the effect.

Core Components

Context Parser: Analyzes and optimizes the input prompt content.
Mode Adapter: Ensures compatibility with different LLMs.
Performance Monitor: Tracks and adjusts the delivery strategy in real - time.

⚠️ Important Note

This is a work - in - progress project with its limitations. It is only suitable for weaker models. The latest LLMs can recognize jailbreaking attempts. This tool is also intended for security research and evaluation purposes to help identify vulnerabilities in LLM systems.