Security Measures & Best Practices
PII Masking and Data Protection
Protecting sensitive information is crucial in MCP implementations. Our research includes comprehensive PII masking capabilities:
📧 Supported PII Types
- Email addresses
- Phone numbers
- Social Security Numbers
- Credit card numbers
- IP addresses
- Street addresses
- Passport numbers
⚙️ Configuration Options
- MASK_PII_BEFORE_LLM
- MASK_PII_IN_LOGS
- X-Mask-PII-Before-LLM header
- X-Mask-PII-In-Logs header
Security Checklist
- Implement proper authentication and authorization
- Validate and sanitize all input data
- Use parameterized queries to prevent SQL injection
- Implement rate limiting and request throttling
- Enable comprehensive logging and monitoring
- Apply principle of least privilege
- Regularly update dependencies and security patches
- Implement PII masking for sensitive data
- Use encryption for data in transit and at rest
- Conduct regular security assessments
📄 authentication.md
Authentication and Authorization in MCP
Authentication Methods
API Key Authentication
# Example secure API key validation
def validate_api_key(api_key):
# Use secure comparison to prevent timing attacks
return hmac.compare_digest(api_key, expected_key)
OAuth 2.0 Integration
- Implement OAuth 2.0 for enterprise integrations
- Use PKCE for public clients
- Validate tokens properly
Mutual TLS (mTLS)
- Client certificate authentication
- Enhanced security for server-to-server communication
- Certificate validation and revocation checking
Authorization Patterns
Role-Based Access Control (RBAC)
class Permission:
READ = "read"
WRITE = "write"
ADMIN = "admin"
def check_permission(user_role, required_permission):
role_permissions = {
"viewer": [Permission.READ],
"editor": [Permission.READ, Permission.WRITE],
"admin": [Permission.READ, Permission.WRITE, Permission.ADMIN]
}
return required_permission in role_permissions.get(user_role, [])
Attribute-Based Access Control (ABAC)
- Fine-grained access control
- Context-aware decisions
- Dynamic policy evaluation
Best Practices
Secure Token Management
Token Storage:
- Use secure storage mechanisms
- Encrypt tokens at rest
- Implement token rotation
Token Validation:
- Verify token signature
- Check expiration times
- Validate issuer and audience
Session Management:
- Implement session timeouts
- Use secure session identifiers
- Proper session invalidation
Multi-Factor Authentication (MFA)
- TOTP (Time-based One-Time Password)
- SMS/Email verification
- Hardware security keys
Common Vulnerabilities
Authentication Bypass
- Missing authentication checks
- Weak token validation
- Predictable session identifiers
Privilege Escalation
- Insufficient authorization checks
- Role confusion attacks
- Parameter tampering
Implementation Example
from functools import wraps
import jwt
def require_auth(required_permission=None):
def decorator(f):
@wraps(f)
def decorated_function(*args, **kwargs):
token = request.headers.get('Authorization')
if not token:
return {'error': 'No token provided'}, 401
try:
# Remove 'Bearer ' prefix
token = token.split(' ')[1]
payload = jwt.decode(token, SECRET_KEY, algorithms=['HS256'])
if required_permission:
if not check_permission(payload.get('role'), required_permission):
return {'error': 'Insufficient permissions'}, 403
return f(*args, **kwargs)
except jwt.InvalidTokenError:
return {'error': 'Invalid token'}, 401
return decorated_function
return decorator
# Usage
@require_auth(Permission.WRITE)
def update_resource():
# Function implementation
pass
Testing Authentication
Automated Testing
- Unit tests for authentication functions
- Integration tests for auth flows
- Security scanning tools
Manual Testing
- Test for authentication bypass
- Verify token validation
- Check authorization boundaries