50+ AWS MCP Servers for Enterprise AI
Model Context Protocol (MCP) enables AI agents to securely connect to AWS services through standardized server components. NayaFlow provides 50+ pre-configured MCP servers covering infrastructure, compute, storage, databases, and monitoring with enterprise-grade security.
Deploy comprehensive AWS integration for your AI agents with complete on-premise capability. No external API calls required - everything runs in your data center with full data sovereignty.
What is Model Context Protocol?
Model Context Protocol (MCP) is a standardized framework that enables AI agents to securely connect to external systems, APIs, and services. It provides a structured way for AI models to access real-time data and perform actions across your enterprise infrastructure.
Unlike traditional API integrations that require custom development, MCP servers provide pre-built, secure connectors that AI agents can use immediately. This dramatically reduces integration time and ensures consistent, reliable connections.
Key Benefits:
- • Standardized AI-to-system communication
- • Enterprise-grade security and compliance
- • Rapid deployment and configuration
- • On-premise and air-gapped capability
MCP Architecture
Complete AWS MCP Server Collection
50+ specialized MCP servers covering every aspect of AWS infrastructure and services. All servers include enterprise security, compliance features, and on-premise deployment capability.
AWS Infrastructure
aws-docs
AWS service documentation and best practices
uvx awslabs.aws-documentation-mcp-server@latestAWS Compute
aws-ec2
EC2 instance management and monitoring
uvx aws-ec2-mcp-server@latestAWS Storage
aws-s3
S3 storage operations and management
uvx aws-s3-mcp-server@latestAWS Database
aws-rds
RDS database management and monitoring
uvx aws-rds-mcp-server@latestAWS Serverless
aws-lambda
Lambda function management and monitoring
uvx aws-lambda-mcp-server@latestAWS Monitoring
aws-cloudwatch
CloudWatch monitoring and alerting
uvx aws-cloudwatch-mcp-server@latestAWS Cost Management
aws-cost-explorer
AWS cost analysis and optimization
uvx aws-cost-explorer-mcp-server@latestMicrosoft 365
microsoft-graph
Microsoft Graph API integration
uvx microsoft-graph-mcp-server@latestsharepoint
SharePoint document management
uvx sharepoint-mcp-server@latestteams
Microsoft Teams integration
uvx teams-mcp-server@latestDatabase
postgresql
PostgreSQL database operations
uvx postgresql-mcp-server@latestmongodb
MongoDB operations and analytics
uvx mongodb-mcp-server@latestSearch & Analytics
elasticsearch
Elasticsearch search and analytics
uvx elasticsearch-mcp-server@latestDevelopment
github
GitHub repository management
uvx github-mcp-server@latestDevOps
docker
Docker container management
uvx docker-mcp-server@latestkubernetes
Kubernetes cluster management
uvx kubernetes-mcp-server@latestCommunication
slack
Slack workspace integration
uvx slack-mcp-server@latestEmail management and automation
uvx email-mcp-server@latestSecurity
security-scanner
Security vulnerability scanning
uvx security-scanner-mcp-server@latestCompliance
compliance-checker
Compliance monitoring and reporting
uvx compliance-checker-mcp-server@latestAI/ML
huggingface
Hugging Face model integration
uvx huggingface-mcp-server@latestopenai
OpenAI API integration
uvx openai-mcp-server@latestIndustry-Specific MCP Configurations
Pre-configured MCP setups optimized for specific industries and compliance requirements.
Healthcare Configuration
HIPAA-compliant MCP setup for healthcare organizations
Required Servers:
Compliance Features:
- • Encryption: AES-256
- • Audit Logging: Enabled
- • Data Retention: 7 years
- • Access Controls: role-based
Financial Services Configuration
PCI-DSS and SOX compliant setup for financial institutions
Required Servers:
Compliance Features:
- • Encryption: FIPS-140-2
- • Audit Logging: Enabled
- • Data Retention: 10 years
- • Access Controls: multi-factor
Quick Installation Guide
Get started with AWS MCP integration in minutes using our automated setup process.
Install UV Package Manager
Install UV for Python package management (required for MCP servers):
curl -LsSf https://astral.sh/uv/install.sh | shConfigure MCP Servers
Create or update your MCP configuration file:
~/.kiro/settings/mcp.jsonDeploy NayaFlow Platform
MCP servers automatically connect when NayaFlow starts. No additional installation required.
MCP Integration FAQ
What is Model Context Protocol (MCP)?
Model Context Protocol (MCP) is a standardized framework that enables AI agents to securely connect to external systems and services. It provides structured access to APIs, databases, and cloud services through specialized server components, eliminating the need for custom integration development.
How many AWS MCP servers does NayaFlow provide?
NayaFlow includes 50+ pre-configured MCP servers covering AWS infrastructure (EC2, VPC), storage (S3, EBS), databases (RDS, DynamoDB), serverless (Lambda), monitoring (CloudWatch), cost management, security services, and AI/ML platforms. All servers are enterprise-ready with security and compliance features.
Can MCP servers work in air-gapped environments?
Yes, NayaFlow's MCP servers are specifically designed for on-premise deployment and can operate in completely air-gapped environments. They connect to your internal AWS infrastructure without requiring external internet access, maintaining full functionality while ensuring complete data sovereignty.
What compliance standards do MCP servers support?
Our MCP servers support HIPAA, PCI-DSS, FedRAMP, SOC2, and GDPR compliance requirements. They include features like encryption at rest and in transit, comprehensive audit logging, role-based access controls, and configurable data retention policies to meet industry-specific regulations.