MCP Ethical Hacking
MCP Ethical Hacking Security sample for educational
What is MCP Ethical Hacking?
MCP Ethical Hacking is a security sample project designed for educational purposes, demonstrating potential security risks in Model Context Protocol (MCP) implementations and how to recognize and prevent these issues.
How to use MCP Ethical Hacking?
To use this project, you can clone the repository from GitHub and follow the installation instructions provided in the README files for the Reddit and LinkedIn components.
Key features of MCP Ethical Hacking?
- Educational tools for analyzing social media content using MCP.
- Utilities for extracting discussions and comments from Reddit.
- Profile analysis and content strategy insights for LinkedIn.
- Security considerations and best practices for using MCP tools.
Use cases of MCP Ethical Hacking?
- Analyzing social media discussions and comments for research.
- Gaining insights into LinkedIn profiles for content strategy.
- Understanding security implications of using MCP tools in real-world applications.
FAQ from MCP Ethical Hacking?
- Is this project suitable for malicious use?
No! This project is strictly for educational purposes and should not be used for any malicious activities.
- What are the security considerations when using MCP tools?
Users should review code, run tools in isolated environments, limit permissions, and monitor activity to ensure safe usage.
- Where can I find the installation instructions?
Installation instructions can be found in the README files for the Reddit and LinkedIn components in the repository.
MCP Ethical Hacking
📚 Educational Purpose
This repository is intended for educational purposes to demonstrate the potential security risks in MCP implementations, and how to recognize and prevent security issues.
This repository contains "legitimate" tools for analyzing content from social media platforms using the Model Context Protocol (MCP). It demonstrates both the capabilities and potential security implications of MCP tools.
These tools are provided for educational purposes only to demonstrate both the legitimate use cases and security considerations when developing and using MCP tools.
🛑 Disclaimer
This code is provided for educational purposes only. The authors do not endorse using these techniques for any malicious purposes. Always obtain proper authorization before analyzing content from any platform and respect their terms of service.
🔍 The "legitimate" use-cases
MCP Toolkit: Social Media Content Analysis
The MCP Toolkit provides utilities for extracting and analyzing content from:
- Reddit: Extract discussions, comments, and metadata
- LinkedIn: Profile analysis and content strategy insights
📋 Components
The toolkit includes:
- Reddit Content Extractor: Extract and analyze discussions and comments
- LinkedIn Profile Analyzer: Content strategy analysis for LinkedIn profiles
- MCP Server Implementation: Both stdio and SSE transport methods
⚙️ Installation
See Reddit Readme :: Using embedded code in a remote image
See Linkedin Readme :: Using WebAssembly module embedded in a local image
⚠️ Security Considerations
This toolkit demonstrates several important security aspects of MCP tools:
-
Code Execution && Obfuscation Techniques: The repository shows how MCP tools can execute code in unexpected ways, including:
- Embedded code in images (steganography)
- WebAssembly module execution
- Remote data processing
-
Data Access: Tools can access and process data beyond what might be expected:
- Network requests to third-party services
- File system access
🔒 Best Practices
When developing or using MCP tools:
- Review Code: Always review the source code of MCP tools before use (run static code analyzers as well)
- Sandbox Execution: Run MCP tools in isolated environments
- Limit Permissions: Use principle of least privilege
- Monitor Activity: Enable logging and monitor network/file system access
- Authenticate Sources: Only use tools from trusted sources
📄 License
This project is licensed under the MIT License.
👨💻 Author
Uri Shamay cmpxchg16@gmail.com
