Connect AI to Your AWS Resources

Transform how you manage and access your AWS infrastructure by connecting Claude, Cursor AI, and other AI assistants directly to your AWS accounts through AWS IAM Identity Center (formerly AWS SSO). Get instant access to your cloud resources, execute commands, and manage EC2 instances using natural language.

What You Can Do

✅ Ask AI about your AWS accounts: "Show me all my AWS accounts and available roles"
✅ Execute AWS commands: "List all S3 buckets in my production account"
✅ Manage EC2 instances: "Check the disk usage on server i-123456789"
✅ Access multi-account setups: "Switch to the staging account and describe the VPCs"
✅ Monitor resources: "Get the status of all running EC2 instances"
✅ Run shell commands: "Execute 'df -h' on my web server via SSM"

Perfect For

DevOps Engineers managing multi-account AWS environments and infrastructure automation
Cloud Architects needing quick access to resource information across AWS accounts
Developers who want to check deployments and run AWS CLI commands through AI
SRE Teams monitoring and troubleshooting AWS resources using natural language
IT Administrators managing EC2 instances and executing remote commands securely
Anyone who wants to interact with AWS using conversational AI

Quick Start

Get up and running in 2 minutes:

1. Get Your AWS SSO Setup

Set up AWS IAM Identity Center:

Enable AWS IAM Identity Center in your AWS account
Configure your identity source (AWS directory, Active Directory, or external IdP)
Set up permission sets and assign users to AWS accounts
Note your AWS SSO Start URL (e.g., https://your-company.awsapps.com/start)

2. Try It Instantly

hljs language-bash

# Set your AWS SSO configuration
export AWS_SSO_START_URL="https://your-company.awsapps.com/start"
export AWS_REGION="us-east-1"

# Start the authentication flow
npx -y @aashari/mcp-server-aws-sso login

# List your accessible accounts and roles
npx -y @aashari/mcp-server-aws-sso ls-accounts

# Execute an AWS command
npx -y @aashari/mcp-server-aws-sso exec-command \
  --account-id 123456789012 \
  --role-name ReadOnly \
  --command "aws s3 ls"

Connect to AI Assistants

For Claude Desktop Users

Add this to your Claude configuration file (~/.claude/claude_desktop_config.json):

hljs language-json

{
  "mcpServers": {
    "aws-sso": {
      "command": "npx",
      "args": ["-y", "@aashari/mcp-server-aws-sso"],
      "env": {
        "AWS_SSO_START_URL": "https://your-company.awsapps.com/start",
        "AWS_REGION": "us-east-1"
      }
    }
  }
}

Restart Claude Desktop, and you'll see "🔗 aws-sso" in the status bar.

For Other AI Assistants

Most AI assistants support MCP. Install the server globally:

hljs language-bash

npm install -g @aashari/mcp-server-aws-sso

Then configure your AI assistant to use the MCP server with STDIO transport.

Alternative: Configuration File

Create ~/.mcp/configs.json for system-wide configuration:

hljs language-json

{
  "aws-sso": {
    "environments": {
      "AWS_SSO_START_URL": "https://your-company.awsapps.com/start",
      "AWS_REGION": "us-east-1",
      "DEBUG": "false"
    }
  }
}

Alternative config keys: The system also accepts "@aashari/mcp-server-aws-sso" or "mcp-server-aws-sso" instead of "aws-sso".

Real-World Examples

🔐 Authenticate and Explore

Ask your AI assistant:

"Log into AWS SSO and show me my authentication status"
"List all my AWS accounts and the roles I can assume"
"Check if I'm still authenticated to AWS"
"Show me which AWS accounts I have access to"

🛠️ Execute AWS Commands

Ask your AI assistant:

"List all S3 buckets in my production account using the ReadOnly role"
"Show me all running EC2 instances in the us-west-2 region"
"Describe the VPCs in my staging AWS account"
"Get the status of my RDS databases in account 123456789012"

🖥️ Manage EC2 Instances

Ask your AI assistant:

"Check the disk usage on EC2 instance i-1234567890abcdef0"
"Run 'uptime' on my web server via Systems Manager"
"Execute 'systemctl status nginx' on instance i-abc123 in production"
"Get memory usage from all my application servers"

🔍 Infrastructure Monitoring

Ask your AI assistant:

"List all Lambda functions in my development account"
"Show me the CloudFormation stacks in us-east-1"
"Check the health of my load balancers"
"Get the latest CloudWatch alarms that are in ALARM state"

🔄 Multi-Account Operations

Ask your AI assistant:

"Switch to account 987654321098 with AdminRole and list all security groups"
"Compare the running instances between staging and production accounts"
"Check backup policies across all my AWS accounts"
"Audit IAM users in the security account"

MCP Tool Examples (Click to expand)

`aws_sso_login`

Basic Login:

hljs language-json

{}

Custom Login Options:

hljs language-json

{
  "launchBrowser": false
}

`aws_sso_status`

Check Authentication Status:

hljs language-json

{}

`aws_sso_ls_accounts`

List All Accounts and Roles:

hljs language-json

{}

`aws_sso_exec_command`

List S3 Buckets:

hljs language-json

{
  "accountId": "123456789012", 
  "roleName": "ReadOnly",
  "command": "aws s3 ls"
}

Describe EC2 Instances in a Specific Region:

hljs language-json

{
  "accountId": "123456789012",
  "roleName": "AdminRole",
  "command": "aws ec2 describe-instances --query 'Reservations[*].Instances[*].[InstanceId,State.Name,InstanceType]' --output table",
  "region": "us-west-2"
}

`aws_sso_ec2_exec_command`

Check System Resources:

hljs language-json

{
  "instanceId": "i-0a69e80761897dcce",
  "accountId": "123456789012",
  "roleName": "InfraOps",
  "command": "uptime && df -h && free -m"
}

Transport Modes

This server supports two transport modes for different integration scenarios:

STDIO Transport (Default for MCP Clients)

Traditional subprocess communication via stdin/stdout
Ideal for local AI assistant integrations (Claude Desktop, Cursor AI)
Uses pipe-based communication for direct MCP protocol exchange

hljs language-bash

# Run with STDIO transport (default for AI assistants)
TRANSPORT_MODE=stdio npx @aashari/mcp-server-aws-sso

# Using npm scripts (after installation)
npm run mcp:stdio

HTTP Transport (Default for Server Mode)

Modern HTTP-based transport with Server-Sent Events (SSE)
Supports multiple concurrent connections
Better for web-based integrations and development
Runs on port 3000 by default (configurable via PORT env var)
Endpoint: http://localhost:3000/mcp
Health check: http://localhost:3000/

hljs language-bash

# Run with HTTP transport (default when no CLI args)
TRANSPORT_MODE=http npx @aashari/mcp-server-aws-sso

# Using npm scripts (after installation)
npm run mcp:http

# Test with MCP Inspector
npm run mcp:inspect

Environment Variables

Transport Configuration:

TRANSPORT_MODE: Set to stdio or http (default: http for server mode, stdio for MCP clients)
PORT: HTTP server port (default: 3000)
DEBUG: Enable debug logging (default: false)

AWS Configuration:

AWS_SSO_START_URL: Your AWS IAM Identity Center start URL (e.g., https://your-org.awsapps.com/start)
AWS_SSO_REGION or AWS_REGION: AWS region for SSO authentication (e.g., us-east-1)
AWS_PROFILE: AWS profile name (optional, for CLI compatibility)

Available Tools

When integrated with AI assistants via MCP, the following tools are available:

Authentication Tools

aws_sso_login: Initiates AWS SSO device authorization flow
- Parameters: launchBrowser (optional, boolean, default: true)
- Opens browser automatically for authentication
- Handles device authorization code flow
- Caches tokens for subsequent operations
aws_sso_status: Checks current authentication status
- No parameters required
- Returns session details and expiration time
- Verifies cached token validity

Account Management Tools

aws_sso_ls_accounts: Lists all accessible AWS accounts and roles
- No parameters required
- Shows account IDs, names, emails, and available roles
- Essential for discovering which accounts/roles you can use

Command Execution Tools

aws_sso_exec_command: Executes AWS CLI commands with SSO credentials
- Required: accountId, roleName, command
- Optional: region
- Automatically obtains and caches temporary credentials
- Supports any AWS CLI command
aws_sso_ec2_exec_command: Executes shell commands on EC2 instances via SSM
- Required: instanceId, accountId, roleName, command
- Optional: region
- No SSH access required (uses AWS Systems Manager)
- Instance must have SSM Agent installed

CLI Commands

All tools are also available as CLI commands using kebab-case. Run --help for details (e.g., mcp-aws-sso login --help).

login: Authenticates via AWS SSO (--no-launch-browser). Ex: mcp-aws-sso login.
status: Checks authentication status (no options). Ex: mcp-aws-sso status.
ls-accounts: Lists accounts/roles (no options). Ex: mcp-aws-sso ls-accounts.
exec-command: Runs AWS CLI command (--account-id, --role-name, --command, --region). Ex: mcp-aws-sso exec-command --account-id 123456789012 --role-name ReadOnly --command "aws s3 ls".
ec2-exec-command: Runs shell command on EC2 (--instance-id, --account-id, --role-name, --command, --region). Ex: mcp-aws-sso ec2-exec-command --instance-id i-0a69e80761897dcce --account-id 123456789012 --role-name InfraOps --command "uptime".

CLI Command Examples (Click to expand)

Login

Standard Login (launches browser and polls automatically):

hljs language-bash

mcp-aws-sso login

Login without Browser Launch:

hljs language-bash

mcp-aws-sso login --no-launch-browser

Execute AWS Commands

List S3 Buckets:

hljs language-bash

mcp-aws-sso exec-command \
  --account-id 123456789012 \
  --role-name ReadOnly \
  --command "aws s3 ls"

List EC2 Instances with Specific Region:

hljs language-bash

mcp-aws-sso exec-command \
  --account-id 123456789012 \
  --role-name AdminRole \
  --region us-west-2 \
  --command "aws ec2 describe-instances --output table"

Execute EC2 Commands

Check System Resources:

hljs language-bash

mcp-aws-sso ec2-exec-command \
  --instance-id i-0a69e80761897dcce \
  --account-id 123456789012 \
  --role-name InfraOps \
  --command "uptime && df -h && free -m"

Troubleshooting

"Authentication failed" or "Token expired"

Re-authenticate with AWS SSO:

hljs language-bash

# Test your SSO configuration
npx -y @aashari/mcp-server-aws-sso login

Check your AWS SSO configuration:
- Verify your AWS_SSO_START_URL is correct (should be your organization's SSO portal)
- Ensure your AWS_REGION matches your SSO region configuration
Verify your SSO setup:
- Make sure you can access the SSO portal in your browser
- Check that your AWS account assignments are active

"Account not found" or "Role not found"

Check available accounts and roles:

hljs language-bash

# List all accessible accounts
npx -y @aashari/mcp-server-aws-sso ls-accounts

Verify account ID format:
- Account ID should be exactly 12 digits
- Use the exact account ID from the ls-accounts output
Check role permissions:
- Make sure you have permission to assume the specified role
- Use the exact role name from your permission sets

"AWS CLI not found" or Command execution errors

Install AWS CLI v2:
- Download from AWS CLI Installation Guide
- Ensure aws command is in your system PATH
Test AWS CLI independently:
hljs language-bash
```
aws --version
aws sts get-caller-identity
```

"EC2 command failed" or "SSM connection issues"

Verify EC2 instance setup:
- Instance must have SSM Agent installed and running
- Instance needs an IAM role with AmazonSSMManagedInstanceCore policy
Check your role permissions:
- Your assumed role needs ssm:SendCommand and ssm:GetCommandInvocation permissions
- Verify the instance is in a running state

Test SSM connectivity:

hljs language-bash

# Test if instance is reachable via SSM
npx -y @aashari/mcp-server-aws-sso exec-command \
  --account-id YOUR_ACCOUNT \
  --role-name YOUR_ROLE \
  --command "aws ssm describe-instance-information"

Claude Desktop Integration Issues

Restart Claude Desktop after updating the config file
Check the status bar for the "🔗 aws-sso" indicator
Verify config file location:
- macOS: ~/.claude/claude_desktop_config.json
- Windows: %APPDATA%\Claude\claude_desktop_config.json

Getting Help

If you're still having issues:

Run a simple test command to verify everything works
Check the GitHub Issues for similar problems
Create a new issue with your error message and setup details

Frequently Asked Questions

What permissions do I need?

For AWS IAM Identity Center (SSO) Setup:

Access to AWS IAM Identity Center with a configured identity source
Permission sets assigned to you by your AWS administrator
Access to the specific AWS accounts you want to manage

For EC2 Commands via SSM:

Your assumed role needs ssm:SendCommand and ssm:GetCommandInvocation permissions
EC2 instances need an IAM role with AmazonSSMManagedInstanceCore policy
SSM Agent must be installed and running on target instances

Can I use this with multiple AWS organizations?

Currently, each installation supports one AWS SSO start URL at a time. For multiple organizations, you can:

Switch the AWS_SSO_START_URL environment variable between sessions
Run separate instances with different configurations
Use multiple Claude Desktop configurations for different organizations

How long do the SSO credentials last?

SSO tokens: Typically 8-12 hours (managed by AWS IAM Identity Center)
Temporary credentials: Approximately 1 hour per account/role
The tool automatically handles token refresh and credential caching
You'll be prompted to re-authenticate when tokens expire

What AI assistants does this work with?

Any AI assistant that supports the Model Context Protocol (MCP):

Claude Desktop (most popular and well-tested)
Cursor AI (code editor with AI)
Continue.dev (VS Code extension)
Any other MCP-compatible client

Is my data secure?

Yes! This tool prioritizes security:

Runs entirely on your local machine (no external servers)
Uses your own AWS SSO credentials (no third-party authentication)
Never sends your data to third parties
Only accesses what you explicitly grant permission to
Uses AWS temporary credentials that automatically expire
Follows AWS best practices for credential management
Credentials are stored in standard AWS locations (~/.aws/)

Do I need AWS CLI installed?

For aws_sso_exec_command: Yes, AWS CLI v2 is required to execute AWS commands.

For other tools: No, authentication (aws_sso_login), status checking (aws_sso_status), and account listing (aws_sso_ls_accounts) work without AWS CLI.

For aws_sso_ec2_exec_command: No, this uses the AWS SDK directly via Systems Manager.

Can I use this with AWS CLI profiles?

This tool uses AWS IAM Identity Center directly and manages its own credential cache. It doesn't require AWS CLI profiles but is compatible with them:

The tool stores credentials in ~/.aws/sso/cache/ (standard AWS location)
You can optionally set AWS_PROFILE for compatibility with other AWS tools
The tool works independently of AWS CLI profile configuration

What's the difference between AWS SSO and AWS IAM Identity Center?

They're the same service! AWS SSO was rebranded to AWS IAM Identity Center in 2022. This tool works with both names:

References to "AWS SSO" in the code and documentation refer to AWS IAM Identity Center
Your start URL format remains the same: https://your-org.awsapps.com/start
All functionality is identical regardless of the naming

What is TOON format?

TOON (Token-Oriented Object Notation) is an output format optimized for Large Language Models:

More compact than JSON (saves tokens when sending data to AI)
Still human-readable
Automatically used when available, falls back to JSON if needed
Learn more: @toon-format/toon

Where are logs stored?

Debug logs are written to: ~/.mcp/data/@aashari.mcp-server-aws-sso.[session-id].log

Each session gets a unique log file. Enable debug logging with DEBUG=true.

Response Format Examples (Click to expand)

Output Format (TOON)

Responses are formatted using TOON (Token-Oriented Object Notation) format, which is optimized for LLM token efficiency. TOON provides a more compact representation than JSON while maintaining readability.

Key Features:

Automatically converts responses to TOON format when available
Falls back to JSON if TOON conversion fails
Truncates large responses (>10KB) with a note about the full response location
Logs full responses to ~/.mcp/data/@aashari.mcp-server-aws-sso.[session-id].log

MCP Tool Response Example (`aws_sso_exec_command`)

hljs language-markdown

# AWS SSO: Command Result

**Account/Role:** 123456789012/ReadOnly
**Region:** us-east-1 (Default: ap-southeast-1)

## Command

	aws s3 ls

## Output

	2023-01-15 08:42:53 my-bucket-1
	2023-05-22 14:18:19 my-bucket-2
	2024-02-10 11:05:37 my-logs-bucket

*Executed: 2025-05-19 06:21:49 UTC*

Error Response Example

hljs language-markdown

# ❌ AWS SSO: Command Error

**Account/Role:** 123456789012/ReadOnly
**Region:** us-east-1 (Default: ap-southeast-1)

## Command

	aws s3api get-object --bucket restricted-bucket --key secret.txt output.txt

## Error: Permission Denied
The role `ReadOnly` does not have permission to execute this command.

## Error Details

	An error occurred (AccessDenied) when calling the GetObject operation: Access Denied

### Troubleshooting

#### Available Roles
- AdminAccess
- PowerUserAccess
- S3FullAccess

Try executing the command again using one of the roles listed above that has appropriate permissions.

*Executed: 2025-05-19 06:17:49 UTC*

Large Response Handling

When API responses exceed 10KB, the output is truncated with a message:

hljs language-lua

[Response truncated for AI consumption. Full response logged to: /path/to/log/file.log]

This ensures AI assistants receive manageable response sizes while developers can access full output in log files.

Technical Details

Architecture

This server follows a clean 5-layer architecture:

CLI Layer (src/cli/): Command-line interface using Commander.js
Tools Layer (src/tools/): MCP tool definitions with Zod validation schemas
Controllers Layer (src/controllers/): Business logic and orchestration
Services Layer (src/services/): External API interactions (AWS SDK)
Utils Layer (src/utils/): Shared utilities (logging, config, caching, formatting)

Key Dependencies

@modelcontextprotocol/sdk v1.23.0: MCP protocol implementation
@aws-sdk/client-sso v3.893.0: AWS SSO API client
@aws-sdk/client-ssm v3.893.0: AWS Systems Manager for EC2 commands
@toon-format/toon v2.0.1: Token-efficient output formatting
zod v4.1.13: Runtime type validation
commander v14.0.2: CLI framework

Logging

Debug logs are written to: ~/.mcp/data/@aashari.mcp-server-aws-sso.[session-id].log

Enable debug logging by setting DEBUG=true in your environment.

Caching

SSO tokens: Cached in ~/.aws/sso/cache/ (standard AWS location)
Temporary credentials: Cached for 1 hour per account/role combination
Account information: Fetched fresh on each request (no persistent cache)

Development

hljs language-bash

# Clone repository
git clone https://github.com/aashari/mcp-server-aws-sso.git
cd mcp-server-aws-sso

# Install dependencies
npm install

# Build the project
npm run build

# Run in development mode with HTTP transport
npm run dev:http

# Run with STDIO transport (for MCP client testing)
npm run dev:stdio

# Run with MCP Inspector (visual debugging)
npm run mcp:inspect

# Run tests
npm test

# Run tests with coverage
npm test:coverage

# Lint code
npm run lint

# Format code
npm run format

Available npm Scripts

npm run build - Compile TypeScript to JavaScript
npm run mcp:stdio - Run with STDIO transport
npm run mcp:http - Run with HTTP transport
npm run mcp:inspect - Run with MCP Inspector for debugging
npm test - Run Jest tests
npm run lint - Run ESLint
npm run format - Format code with Prettier

Requirements

Node.js: Version 18.0.0 or higher
AWS CLI: Version 2.x (required only for aws_sso_exec_command)
AWS IAM Identity Center: Configured and accessible
Operating System: macOS, Linux, or Windows

Version History

v3.0.1 (Current)

Fixed picomatch dependency conflict for npm ci
Enhanced raw response logging with truncation for large API responses
Improved AI guidance for AWS SSO login instructions

v3.0.0

BREAKING: Modernized to @modelcontextprotocol/sdk v1.23.0 with registerTool API
Added Node.js version specification (Node 22.14.0 compatibility)
Enhanced logging and error handling

v2.0.0

BREAKING: Fixed AWS CLI execution and credential region mismatch issues
Improved cross-region authentication handling
Prevented dotenv from outputting to STDIO in MCP mode

See CHANGELOG.md for complete version history.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

License

ISC License - See LICENSE file for details

Support

Need help? Here's how to get assistance:

Check the troubleshooting section above - most common issues are covered there
Visit our GitHub repository for documentation and examples: github.com/aashari/mcp-server-aws-sso
Report issues at GitHub Issues
Start a discussion for feature requests or general questions
Check debug logs at ~/.mcp/data/@aashari.mcp-server-aws-sso.[session-id].log for detailed error information

Built with: TypeScript, MCP SDK, AWS SDK for JavaScript v3, TOON Format

Made with care for DevOps teams who want to bring AI into their AWS workflow.

mcp-server-aws-sso

Connect AI to Your AWS Resources

What You Can Do

Perfect For

Quick Start

1. Get Your AWS SSO Setup

2. Try It Instantly

Connect to AI Assistants

For Claude Desktop Users

For Other AI Assistants

Alternative: Configuration File

Real-World Examples

🔐 Authenticate and Explore

🛠️ Execute AWS Commands

🖥️ Manage EC2 Instances

🔍 Infrastructure Monitoring

🔄 Multi-Account Operations

aws_sso_login

aws_sso_status

aws_sso_ls_accounts

aws_sso_exec_command

aws_sso_ec2_exec_command

Transport Modes

STDIO Transport (Default for MCP Clients)

HTTP Transport (Default for Server Mode)

Environment Variables

Available Tools

Authentication Tools

Account Management Tools

Command Execution Tools

CLI Commands

Login

Execute AWS Commands

Execute EC2 Commands

Troubleshooting

"Authentication failed" or "Token expired"

"Account not found" or "Role not found"

"AWS CLI not found" or Command execution errors

"EC2 command failed" or "SSM connection issues"

Claude Desktop Integration Issues

Getting Help

Frequently Asked Questions

What permissions do I need?

Can I use this with multiple AWS organizations?

How long do the SSO credentials last?

What AI assistants does this work with?

Is my data secure?

Do I need AWS CLI installed?

Can I use this with AWS CLI profiles?

What's the difference between AWS SSO and AWS IAM Identity Center?

What is TOON format?

Where are logs stored?

Output Format (TOON)

MCP Tool Response Example (aws_sso_exec_command)

Error Response Example

Large Response Handling

Technical Details

Architecture

Key Dependencies

Logging

Caching

Development

Available npm Scripts

Requirements

Version History

v3.0.1 (Current)

v3.0.0

v2.0.0

Contributing

License

Support

Similar Packages

Security

Original Author

Publisher

`aws_sso_login`

`aws_sso_status`

`aws_sso_ls_accounts`

`aws_sso_exec_command`

`aws_sso_ec2_exec_command`

MCP Tool Response Example (`aws_sso_exec_command`)