AWS MCP Integration

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 with enterprise-grade security.

Deploy comprehensive AWS integration for your AI agents with complete on-premise capability.

What is Model Context Protocol?

Model Context Protocol (MCP) is a standardized framework that enables AI agents to securely connect to external systems and APIs. It provides pre-built, secure connectors that AI agents can use immediately.

Key Benefits:

  • • Standardized AI-to-system communication
  • • Enterprise-grade security and compliance
  • • Rapid deployment and configuration
  • • On-premise and air-gapped capability

MCP Architecture

AI
AI Agent
Makes requests through MCP
MCP
MCP Server
Handles authentication & requests
AWS
AWS Service
EC2, S3, RDS, Lambda, etc.

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

Command:
uvx awslabs.aws-documentation-mcp-server@latest
Auto-approved actions:
search_documentationget_service_info

AWS Compute

aws-ec2

EC2 instance management and monitoring

Command:
uvx aws-ec2-mcp-server@latest
Auto-approved actions:
describe_instancesget_instance_status

AWS Storage

aws-s3

S3 storage operations and management

Command:
uvx aws-s3-mcp-server@latest
Auto-approved actions:
list_bucketsget_object_metadata

AWS Database

aws-rds

RDS database management and monitoring

Command:
uvx aws-rds-mcp-server@latest
Auto-approved actions:
describe_db_instancesget_db_metrics

AWS Serverless

aws-lambda

Lambda function management and monitoring

Command:
uvx aws-lambda-mcp-server@latest
Auto-approved actions:
list_functionsget_function_metrics

AWS Monitoring

aws-cloudwatch

CloudWatch monitoring and alerting

Command:
uvx aws-cloudwatch-mcp-server@latest
Auto-approved actions:
get_metricsdescribe_alarms

AWS Cost Management

aws-cost-explorer

AWS cost analysis and optimization

Command:
uvx aws-cost-explorer-mcp-server@latest
Auto-approved actions:
get_cost_and_usageget_rightsizing_recommendation

Microsoft 365

microsoft-graph

Microsoft Graph API integration

Command:
uvx microsoft-graph-mcp-server@latest
Auto-approved actions:
get_user_profilelist_calendar_events

sharepoint

SharePoint document management

Command:
uvx sharepoint-mcp-server@latest
Auto-approved actions:
search_documentsget_site_info

teams

Microsoft Teams integration

Command:
uvx teams-mcp-server@latest
Auto-approved actions:
get_team_infolist_channels

Database

postgresql

PostgreSQL database operations

Command:
uvx postgresql-mcp-server@latest
Auto-approved actions:
describe_tablesget_table_schema

mongodb

MongoDB operations and analytics

Command:
uvx mongodb-mcp-server@latest
Auto-approved actions:
list_collectionsget_collection_stats

Search & Analytics

elasticsearch

Elasticsearch search and analytics

Command:
uvx elasticsearch-mcp-server@latest
Auto-approved actions:
search_indicesget_cluster_health

Development

github

GitHub repository management

Command:
uvx github-mcp-server@latest
Auto-approved actions:
list_repositoriesget_repository_info

DevOps

docker

Docker container management

Command:
uvx docker-mcp-server@latest
Auto-approved actions:
list_containersget_container_stats

kubernetes

Kubernetes cluster management

Command:
uvx kubernetes-mcp-server@latest
Auto-approved actions:
get_podsget_services

Communication

slack

Slack workspace integration

Command:
uvx slack-mcp-server@latest
Auto-approved actions:
list_channelsget_user_info

email

Email management and automation

Command:
uvx email-mcp-server@latest
Auto-approved actions:
list_folderssearch_emails

Security

security-scanner

Security vulnerability scanning

Command:
uvx security-scanner-mcp-server@latest
Auto-approved actions:
scan_vulnerabilitiesget_security_report

Compliance

compliance-checker

Compliance monitoring and reporting

Command:
uvx compliance-checker-mcp-server@latest
Auto-approved actions:
check_compliancegenerate_audit_report

AI/ML

huggingface

Hugging Face model integration

Command:
uvx huggingface-mcp-server@latest
Auto-approved actions:
list_modelsget_model_info

openai

OpenAI API integration

Command:
uvx openai-mcp-server@latest
Auto-approved actions:
list_modelsget_usage_stats

Industry-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:

aws-docspostgresqlsecurity-scannercompliance-checker

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:

aws-docsaws-cost-explorersecurity-scannercompliance-checker

Compliance Features:

  • • Encryption: FIPS-140-2
  • • Audit Logging: Enabled
  • • Data Retention: 10 years
  • • Access Controls: multi-factor

Government Configuration

FedRAMP authorized setup for government agencies

Required Servers:

aws-docssecurity-scannercompliance-checker

Compliance Features:

  • • Encryption: FIPS-140-2
  • • Audit Logging: Enabled
  • • Data Retention: indefinite
  • • Access Controls: clearance-based

Manufacturing Configuration

Industrial IoT and supply chain optimization setup

Required Servers:

aws-docsaws-ec2aws-s3postgresql

Compliance Features:

  • • Encryption: AES-256
  • • Audit Logging: Enabled
  • • Data Retention: 5 years
  • • Access Controls: role-based

Quick Installation Guide

Get started with AWS MCP integration in minutes using our automated setup process.

1

Install UV Package Manager

Install UV for Python package management (required for MCP servers):

curl -LsSf https://astral.sh/uv/install.sh | sh
2

Configure MCP Servers

Create or update your MCP configuration file:

~/.kiro/settings/mcp.json
3

Deploy 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.

Ready to Deploy AWS MCP Integration?

Get started with 50+ AWS MCP servers and complete enterprise AI automation. Schedule a demo to see the integration in action.