Skip to main content
Glama

Unity-MCP

by TSavo
11-security-considerations.md11.6 kB
# Security Considerations ## Overview Unity-MCP provides powerful capabilities for AI assistants to interact with Unity, but these capabilities also come with security implications. This document outlines the security considerations when using Unity-MCP and provides recommendations for mitigating potential risks. ## Code Execution Risks ### Risk: Arbitrary Code Execution The most significant security risk in Unity-MCP is the ability to execute arbitrary C# code in Unity. This capability is intentional and provides the flexibility that makes Unity-MCP powerful, but it also means that malicious code could potentially: - Access sensitive information - Modify game data - Perform destructive operations - Execute system commands (if Unity has the necessary permissions) - Consume excessive resources ### Mitigation Strategies 1. **Trusted AI Assistants**: Only use Unity-MCP with trusted AI assistants like Claude 2. **Sandboxed Environment**: Run Unity in a sandboxed environment when using Unity-MCP 3. **Limited Permissions**: Run Unity with limited system permissions 4. **Code Review**: Review code before execution, especially for sensitive operations 5. **Timeouts**: Implement timeouts for code execution to prevent infinite loops 6. **Resource Monitoring**: Monitor resource usage and terminate excessive consumption 7. **Whitelist Approach**: Consider implementing a whitelist of allowed operations ## Network Security ### Risk: Insecure Communication Unity-MCP components communicate over the network, which introduces potential security risks: - Man-in-the-middle attacks - Unauthorized access to the Web Server - Eavesdropping on communication - Denial of service attacks ### Mitigation Strategies 1. **Secure Connections**: Use HTTPS for HTTP connections and WSS for WebSocket connections 2. **Authentication**: Implement authentication for the Web Server 3. **API Keys**: Use API keys to restrict access to the Web Server 4. **Firewall Rules**: Configure firewall rules to restrict access to the Web Server 5. **Rate Limiting**: Implement rate limiting to prevent denial of service attacks 6. **Input Validation**: Validate all input to prevent injection attacks 7. **Local Network**: Keep the Web Server on a local network when possible ## Data Security ### Risk: Sensitive Data Exposure Unity-MCP can access and transmit data from Unity, which may include sensitive information: - Game logic and intellectual property - User data - Authentication credentials - Business logic ### Mitigation Strategies 1. **Data Minimization**: Only expose necessary data to AI assistants 2. **Data Sanitization**: Sanitize data before sending it to AI assistants 3. **Sensitive Data Handling**: Implement special handling for sensitive data 4. **Encryption**: Encrypt sensitive data in transit and at rest 5. **Access Controls**: Implement access controls for sensitive data 6. **Audit Logging**: Log access to sensitive data 7. **Privacy Policy**: Ensure your privacy policy covers AI assistant access to data ## Implementation Security ### Risk: Implementation Vulnerabilities The implementation of Unity-MCP itself may contain vulnerabilities: - Buffer overflows - Memory leaks - Injection vulnerabilities - Deserialization vulnerabilities - Dependency vulnerabilities ### Mitigation Strategies 1. **Code Reviews**: Conduct thorough code reviews 2. **Security Testing**: Perform security testing on the implementation 3. **Dependency Management**: Keep dependencies up to date 4. **Input Validation**: Validate all input to prevent injection attacks 5. **Secure Coding Practices**: Follow secure coding practices 6. **Error Handling**: Implement proper error handling 7. **Logging**: Log security-relevant events ## Deployment Security ### Risk: Insecure Deployment The deployment of Unity-MCP may introduce security risks: - Exposed configuration - Default credentials - Unnecessary services - Outdated software ### Mitigation Strategies 1. **Secure Configuration**: Use secure configuration settings 2. **Environment Variables**: Use environment variables for sensitive configuration 3. **Minimal Permissions**: Run services with minimal permissions 4. **Container Security**: Secure containerized deployments 5. **Network Segmentation**: Implement network segmentation 6. **Regular Updates**: Keep software up to date 7. **Security Monitoring**: Monitor for security events ## Recommended Security Configurations ### Development Environment For development environments, a basic level of security is recommended: ```json // config.json { "webServerUrl": "http://localhost:8080", "logLevel": "debug", "security": { "enableCodeExecution": true, "timeout": 5000, "maxMemoryUsage": 1000000000, // 1 GB "allowSystemCommands": false } } ``` ### Production Environment For production environments, a more stringent security configuration is recommended: ```json // config.json { "webServerUrl": "https://your-server.com", "logLevel": "info", "security": { "enableCodeExecution": true, "timeout": 2000, "maxMemoryUsage": 500000000, // 500 MB "allowSystemCommands": false, "authentication": { "enabled": true, "apiKey": "your-api-key" }, "rateLimit": { "enabled": true, "maxRequests": 100, "timeWindow": 60000 // 1 minute }, "allowedHosts": ["trusted-host-1", "trusted-host-2"] } } ``` ### Web Server Security For the Web Server, implement the following security measures: ```javascript // server.js const express = require('express'); const helmet = require('helmet'); const rateLimit = require('express-rate-limit'); const cors = require('cors'); const https = require('https'); const fs = require('fs'); const app = express(); // Use security middleware app.use(helmet()); // Configure CORS app.use(cors({ origin: config.security.allowedHosts, methods: ['GET', 'POST'], allowedHeaders: ['Content-Type', 'Authorization'] })); // Implement rate limiting if (config.security.rateLimit.enabled) { app.use(rateLimit({ windowMs: config.security.rateLimit.timeWindow, max: config.security.rateLimit.maxRequests })); } // Implement authentication app.use((req, res, next) => { if (config.security.authentication.enabled) { const apiKey = req.headers['x-api-key']; if (apiKey !== config.security.authentication.apiKey) { return res.status(401).json({ error: 'Unauthorized' }); } } next(); }); // Use HTTPS const httpsOptions = { key: fs.readFileSync('path/to/private/key.pem'), cert: fs.readFileSync('path/to/certificate.pem') }; https.createServer(httpsOptions, app).listen(443, () => { console.log('HTTPS server running on port 443'); }); ``` ### Unity Integration Security For the Unity Integration, implement the following security measures: ```csharp using UnityEngine; using System; using System.Security.Cryptography; using System.Text; public class SecurityManager : MonoBehaviour { [SerializeField] private bool enableCodeExecution = true; [SerializeField] private int timeout = 2000; [SerializeField] private long maxMemoryUsage = 500000000; // 500 MB [SerializeField] private bool allowSystemCommands = false; [SerializeField] private string apiKey = "your-api-key"; public bool ValidateRequest(string requestData, string signature) { // Validate the request signature using (var hmac = new HMACSHA256(Encoding.UTF8.GetBytes(apiKey))) { var hash = hmac.ComputeHash(Encoding.UTF8.GetBytes(requestData)); var computedSignature = BitConverter.ToString(hash).Replace("-", "").ToLower(); return computedSignature == signature; } } public bool ValidateCode(string code) { // Check if code execution is enabled if (!enableCodeExecution) { return false; } // Check for system commands if (!allowSystemCommands && (code.Contains("System.Diagnostics.Process") || code.Contains("System.IO.File"))) { return false; } // Add more validation as needed return true; } public void MonitorResourceUsage(Action action) { // Record starting memory usage var startMemory = GC.GetTotalMemory(false); // Start a timer var startTime = DateTime.Now; // Create a monitoring thread var monitorThread = new System.Threading.Thread(() => { while (true) { // Check timeout if ((DateTime.Now - startTime).TotalMilliseconds > timeout) { Debug.LogWarning("Code execution timed out"); break; } // Check memory usage var currentMemory = GC.GetTotalMemory(false); if (currentMemory - startMemory > maxMemoryUsage) { Debug.LogWarning("Code execution exceeded memory limit"); break; } // Sleep for a short time System.Threading.Thread.Sleep(100); } }); // Start the monitoring thread monitorThread.Start(); // Execute the action action(); // Stop the monitoring thread monitorThread.Abort(); } } ``` ## Security Checklist Use this checklist to ensure you've addressed the key security considerations: ### Code Execution Security - [ ] Only use Unity-MCP with trusted AI assistants - [ ] Run Unity in a sandboxed environment - [ ] Run Unity with limited system permissions - [ ] Implement timeouts for code execution - [ ] Monitor resource usage - [ ] Consider implementing a whitelist of allowed operations ### Network Security - [ ] Use HTTPS for HTTP connections - [ ] Use WSS for WebSocket connections - [ ] Implement authentication for the Web Server - [ ] Use API keys to restrict access - [ ] Configure firewall rules - [ ] Implement rate limiting - [ ] Validate all input ### Data Security - [ ] Only expose necessary data to AI assistants - [ ] Sanitize data before sending it - [ ] Implement special handling for sensitive data - [ ] Encrypt sensitive data - [ ] Implement access controls - [ ] Log access to sensitive data - [ ] Ensure your privacy policy covers AI assistant access ### Implementation Security - [ ] Conduct thorough code reviews - [ ] Perform security testing - [ ] Keep dependencies up to date - [ ] Validate all input - [ ] Follow secure coding practices - [ ] Implement proper error handling - [ ] Log security-relevant events ### Deployment Security - [ ] Use secure configuration settings - [ ] Use environment variables for sensitive configuration - [ ] Run services with minimal permissions - [ ] Secure containerized deployments - [ ] Implement network segmentation - [ ] Keep software up to date - [ ] Monitor for security events ## Conclusion Unity-MCP provides powerful capabilities for AI assistants to interact with Unity, but these capabilities come with security implications. By understanding the risks and implementing appropriate mitigation strategies, you can use Unity-MCP securely in your projects. Remember that security is a continuous process, not a one-time effort. Regularly review and update your security measures to address new threats and vulnerabilities.

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/TSavo/Unity-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server