MCP-Security-Checklist

# 🛡️ MCP Security Checklist  Welcome to the **MCP Security Checklist** repository! This project offers a comprehensive security checklist designed specifically for MCP-based AI tools. Created by SlowMist, our goal is to help safeguard the LLM plugin ecosystems. ## 📦 Getting Started To begin using the MCP Security Checklist, you can download the latest release [here](https://github.com/LovaRajuMCA/MCP-Security-Checklist/releases). Follow the instructions provided in the release notes to execute the checklist effectively. ### 🛠️ Prerequisites Before you start, ensure you have the following tools installed: - Python 3.8 or later - Git - A code editor (like VSCode or PyCharm) ### 🔍 Overview The MCP Security Checklist covers various aspects of security for AI tools built on the MCP framework. Here are some key areas we focus on: - **Authentication**: Ensuring that only authorized users can access the system. - **Data Protection**: Safeguarding sensitive information from unauthorized access. - **API Security**: Protecting APIs from common vulnerabilities. - **Logging and Monitoring**: Keeping track of system activities for auditing and troubleshooting. - **Vulnerability Management**: Regularly checking for and addressing potential security flaws. ## 📜 Checklist Structure The checklist is divided into several sections, each focusing on a specific area of security. Here’s a brief overview of what you can expect: ### 1. Authentication - Use multi-factor authentication (MFA). - Implement strong password policies. - Regularly review user access levels. ### 2. Data Protection - Encrypt sensitive data at rest and in transit. - Regularly back up data and test restore procedures. - Limit data access based on user roles. ### 3. API Security - Use HTTPS for all API calls. - Validate input to prevent injection attacks. - Rate limit API requests to mitigate denial-of-service attacks. ### 4. Logging and Monitoring - Implement centralized logging. - Set up alerts for suspicious activities. - Regularly review logs for anomalies. ### 5. Vulnerability Management - Conduct regular security assessments. - Keep software dependencies up to date. - Have a plan for addressing discovered vulnerabilities. ## 🔗 Links and Resources For additional information, check the **Releases** section of this repository. You can download the latest version of the checklist [here](https://github.com/LovaRajuMCA/MCP-Security-Checklist/releases). ### 📚 Further Reading - [OWASP Top Ten](https://owasp.org/www-project-top-ten/) - [NIST Cybersecurity Framework](https://www.nist.gov/cyberframework) - [CIS Controls](https://www.cisecurity.org/controls/) ## 🛡️ Contributing We welcome contributions to the MCP Security Checklist. If you have suggestions or improvements, please follow these steps: 1. Fork the repository. 2. Create a new branch for your feature or bug fix. 3. Make your changes and commit them. 4. Push your branch to your forked repository. 5. Open a pull request. ### 🤝 Code of Conduct We expect all contributors to adhere to our code of conduct. Please treat everyone with respect and kindness. ## 📄 License This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details. ## 💬 Contact For questions or feedback, please reach out via GitHub issues or directly through the repository. --- Thank you for checking out the MCP Security Checklist! Your contribution helps improve the security of AI tools in the MCP ecosystem. Let's work together to create a safer environment for all.