A Node.js/TypeScript MCP server connecting AI assistants to AWS services using Single Sign-On (SSO). It allows tools for initiating SSO login, listing AWS accounts/roles, and executing AWS CLI commands with temporary credentials, simplifying secure AWS resource management for AI applications.
Added on:
Created by:
Apr 25 2025
A Node.js/TypeScript MCP server connecting AI assistants to AWS services using Single Sign-On (SSO). It allows tools for initiating SSO login, listing AWS accounts/roles, and executing AWS CLI commands with temporary credentials, simplifying secure AWS resource management for AI applications.
Added on:
Created by:
Apr 25 2025
Andi Ashari
Featured
What is AWS SSO MCP Server?
This MCP server provides a structured platform for AI systems to securely connect with AWS through Single Sign-On (SSO). It facilitates the initiation of SSO login flows, lists accessible AWS accounts and roles, and allows execution of AWS CLI commands using temporary credentials obtained via SSO. The server ensures seamless integration by automating authentication processes, managing session credentials automatically, and providing a robust interface for AI models to manage AWS resources efficiently. It supports secure, transient credentials, reducing security risks while enabling comprehensive AWS interactions for AI-powered automation and management tasks.
Who will use AWS SSO MCP Server?
- AI developers integrating AI assistants with AWS services
- Cloud engineers managing AWS environments via AI tools
- Security teams implementing secure SSO integrations for automated systems
How to use the AWS SSO MCP Server?
- Step 1: Set up AWS SSO with your AWS account and note the start URL
- Step 2: Configure your credentials in the MCP config file or environment variables
- Step 3: Install the MCP server using npm or run via npx
- Step 4: Launch the MCP server and authorize via browser if needed
- Step 5: Connect your AI assistant to the server using MCP configuration
- Step 6: Use MCP tools like aws_sso_login, aws_sso_list_accounts, or aws_sso_exec_command within your AI interactions
AWS SSO MCP Server's Core Features & Benefits
The Core Features
- aws_sso_login
- aws_sso_list_accounts
- aws_sso_exec_command
The Benefits
- Securely authenticate with AWS SSO without managing long-term credentials
- Enables AI systems to list and switch AWS accounts and roles easily
- Allows secure execution of AWS CLI commands using temporary credentials
- Automates the SSO login process with device auth flow
- Supports multi-account, multi-role AWS environments
AWS SSO MCP Server's Main Use Cases & Applications
- AI assistants automating AWS resource management tasks
- Security-enhanced AI workflows for cloud operations
- Developers enabling AI tools to execute AWS CLI commands securely
- Automated multi-account AWS access for AI-based systems
FAQs of AWS SSO MCP Server
Developer
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Cloud Platforms
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
Automates MCP server creation for AWS services using boto3, simplifying server setup for development.
Demo project showcasing MCP protocol integration with Azure OpenAI for seamless AI application interactions.
A serverless MCP hosted in AWS Lambda that interacts with AWS Bedrock for AI model processing via API Gateway.
A dynamic MCP server facilitating interaction with Etherscan's API for blockchain data retrieval.
A server-client MCP facilitating communication and data exchange between AI services and storage systems.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
Enables interaction with SharePoint Online via REST API, supporting site, list, and user management functions.
A comprehensive suite of containers for efficient microservices deployment and management.
Security
A Python-based MCP server enabling secure management and automation of OPNsense firewalls via API.
A MCP server wrapper enabling full protocol utilization without tool limits or context overload.
A server that provides access to repositories, code quality analysis, security, and coverage metrics via API.
A wrapper around MCP server to select which tools to expose to mcp clients, enhancing control and safety.
Securely run MCP servers without modifying configs by managing secrets safely through the launcher.
An advanced SSH client supporting MCP with security checks, session management, and confidential logging features.
Provides secure, relative filesystem access for AI agents with batch operations and detailed error reporting.
A client for connecting to MCP servers, enabling AI agents to discover and utilize tools via MCP protocol.
A server for sending notifications to self-hosted ntfy servers with secure token authentication support.
A client application for secure quantum-safe interactions with MCP environments using post-quantum cryptography.