MCP Security Checklist

# 🛡️ MCP Security Checklist

![MCP Security Checklist](https://img.shields.io/badge/MCP%20Security%20Checklist-v1.0-brightgreen)

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.