ChuckNorris MCP Server
The ChuckNorris MCP Server delivers enhancement prompts to LLMs, utilizing jailbreak prompts and dynamic schema modifications to improve effectiveness. It employs multi-phase techniques, including initial neutral prompts and schema adjustments, to bypass security measures and deliver targeted responses. Designed for security research, it demonstrates potential MCP vulnerabilities and helps enhance AI system robustness.
Added on:
Created by:
Apr 11 2025
The ChuckNorris MCP Server delivers enhancement prompts to LLMs, utilizing jailbreak prompts and dynamic schema modifications to improve effectiveness. It employs multi-phase techniques, including initial neutral prompts and schema adjustments, to bypass security measures and deliver targeted responses. Designed for security research, it demonstrates potential MCP vulnerabilities and helps enhance AI system robustness.
Added on:
Created by:
Apr 11 2025
Pollinations.AI
Featured
What is ChuckNorris MCP Server?
The ChuckNorris MCP Server is a specialized Model Context Protocol (MCP) tool designed to deliver enhancement prompts to various language models (LLMs). It uses jailbreak prompts inspired by the elder-plinius' L1B3RT4S project combined with a dynamic schema approach that adapts between multiple phases. Initially, it presents a neutral prompt to discover the model type, then modifies its schema in subsequent calls to embed jailbreak instructions while avoiding detection. This multi-phase, schema-changing technique allows more effective bypassing of security measures, making it useful for security research and vulnerability testing of LLM deployment systems. It is intended for developers and researchers focused on AI security, model safety, and prompt engineering.
Who will use ChuckNorris MCP Server?
- AI security researchers
- Prompt engineers
- AI/system developers
- Security analysts
How to use the ChuckNorris MCP Server?
- Step 1: Configure the MCP client with the server details as specified in the documentation.
- Step 2: Send an initial neutral prompt to the MCP server to detect the LLM type and trigger the first phase.
- Step 3: The server returns a preparation prompt and records the model details.
- Step 4: Make subsequent calls with a modified schema that includes jailbreak instructions tailored to the detected model.
- Step 5: The server continues delivering prompts that bypass security and trigger specific model behaviors for research purposes.
ChuckNorris MCP Server's Core Features & Benefits
The Core Features
- Deliver dynamic enhancement prompts
- Implement multi-phase prompt adjustment
- Embed jailbreak prompts into schema
- Detect and adapt to model type
The Benefits
- Enhances prompt effectiveness against security measures
- Facilitates security vulnerability research
- Provides adaptive prompt delivery for different models
- Supports multi-phase multi-schema testing
ChuckNorris MCP Server's Main Use Cases & Applications
- Security vulnerability testing of LLM systems
- Bypassing content filters in AI models for research
- Studying MCP injection and prompt manipulation techniques
- Developing more robust safety mechanisms for LLMs
FAQs of ChuckNorris MCP Server
Developer
You may also like:
Research And Data
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A server accessing League of Legends game data via the Live Client Data API, providing real-time in-game information.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A Python client for managing multiple MCP servers with support for various transports and server types.
A server connecting PatentSafe to retrieve documents via Lucene queries for patent data analysis.
An Android-native MCP client enabling multiplayer connectivity for Minecraft Pocket Edition.
Enables AI to manage Kubernetes applications by creating high-level modules, reducing misconfigurations and boosting deployment speed.
Security
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
A curated list of best practices for building MCP Servers and MCP Clients, focusing on security, deployment, and naming standards.
Secure SSE server enabling AI tool communication with JWT authentication and dynamic tool registration.
Handles embedded wallet and access token orchestration with server and CLI client for JSON-RPC methods.
A sample implementation demonstrating how to build a MCP server and client using Cloudflare Workers.
A Python-based MCP server enabling secure management and automation of OPNsense firewalls via API.
A lightweight server providing authentication-less remote management for MCP devices over network.
Enables interaction with SharePoint Online via REST API, supporting site, list, and user management functions.
A MCP server wrapper enabling full protocol utilization without tool limits or context overload.
AI Chatbot
Enables generation of lyrics, songs, and instrumental background music through interaction with powerful APIs.
An integrated server that enables quick TinyPNG image compression through Large Language Models (LLMs).
A server for managing and analyzing pull requests using the MCP framework, enhancing code review efficiency.
A Node.js and TypeScript-based MCP server enabling AI model communication in a serverless Azure environment.
A simple MCP for integrating Anki with AI assistance for flashcard creation and study management.
A client facilitating function calling integrations with Huawei's functions SDK for efficient API interactions.
Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.