MCP AWS Server
v1.0.0Community
MCP server enabling AI models to interact with AWS cloud services including S3, EC2, Lambda, and more. Supports infrastructure management, resource provisioning, and cloud automation through the Model Context Protocol. Extremely powerful but poses critical security risks requiring strict controls.
Trust Vector Analysis
Dimension Breakdown
🚀Performance & Reliability+
API uptime and reliability analysis
Operation success testing
Service integration testing
API latency testing
Error handling testing
🛡️Security+
IAM security review
Credential security analysis
Resource control risk assessment
Cost control assessment
Audit capabilities review
Data exposure analysis
🔒Privacy & Compliance+
Data exposure analysis
Privacy controls assessment
Network isolation assessment
Compliance framework review
Encryption capabilities review
👁️Trust & Transparency+
Documentation completeness review
Action traceability assessment
Implementation documentation review
Security documentation review
⚙️Operational Excellence+
Setup complexity assessment
API coverage assessment
Uptime analysis
Cost predictability analysis
Community activity analysis
- +Comprehensive access to AWS cloud services and infrastructure
- +Built on highly reliable AWS infrastructure (99.99% uptime)
- +Powerful automation capabilities for cloud operations
- +Excellent audit logging through CloudTrail
- +Granular IAM permissions for access control
- +Supports major AWS services (S3, EC2, Lambda, RDS, DynamoDB)
- !CRITICAL SECURITY RISK: AI can create, modify, delete infrastructure
- !Cost control risk - AI can provision expensive resources
- !Data in S3, RDS, and other services exposed to LLM provider
- !No built-in PII detection or sensitive data filtering
- !Complex IAM setup required for secure operation
- !Potential for catastrophic infrastructure changes if misconfigured
Use Case Ratings
code generation
Useful for generating infrastructure as code and automation scripts
customer support
Can manage support infrastructure but limited direct customer impact
content creation
Can manage S3-based content storage but not primary use case
data analysis
Excellent for analyzing data in S3, RDS, and other AWS data services
research assistant
Good for managing research data in AWS but data exposure concerns
legal compliance
Very high risk - can expose confidential data and modify critical infrastructure
healthcare
Extreme risk for PHI exposure; HIPAA compliance nearly impossible with LLM sharing
financial analysis
High risk for sensitive financial data and infrastructure
education
Useful for managing educational infrastructure and resources
creative writing
Can manage content storage but significant risk/benefit mismatch