AI Infrastructure Agent
AI Infrastructure Agent is an intelligent system that allows you to manage AWS infrastructure using natural language commands.
What is AI Infrastructure Agent?
AI Infrastructure Agent is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to ai infrastructure agent is an intelligent system that allows you to manage aws infrastructure using natural language commands.
AI Infrastructure Agent is an intelligent system that allows you to manage AWS infrastructure using natural language commands.
This server falls under the Cloud Services category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- AI Infrastructure Agent is an intelligent system that allows
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx ai-infrastructure-agentConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use AI Infrastructure Agent
AI Infrastructure Agent is an intelligent system that lets you manage AWS infrastructure using natural language commands, eliminating the need to remember complex CLI syntax. It connects directly to your AWS account and supports managing VPCs, EC2 instances, Security Groups, Auto Scaling Groups, and Application Load Balancers. The agent supports multiple AI providers — OpenAI, Gemini, Anthropic Claude, AWS Bedrock, and local Ollama models — making it flexible for different team setups. Teams use it to accelerate DevOps workflows, prototype infrastructure quickly, and automate repetitive cloud operations without context-switching to the AWS console.
Prerequisites
- Docker and Docker Compose installed (recommended deployment method)
- AWS account with programmatic access credentials (AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY)
- At least one AI provider API key: OPENAI_API_KEY, GEMINI_API_KEY, or ANTHROPIC_API_KEY
- An MCP-compatible client such as Claude Desktop
- Git to clone the repository
Clone the repository
Clone the AI Infrastructure Agent repository to your local machine.
git clone https://github.com/VersusControl/ai-infrastructure-agent.git
cd ai-infrastructure-agentConfigure AWS credentials and AI provider
Set your AWS credentials and choose an AI provider. Edit config.yaml to set the provider (openai, gemini, anthropic, bedrock, or ollama) and model. Set dry_run: true initially to preview changes before applying them.
export AWS_ACCESS_KEY_ID=your_access_key
export AWS_SECRET_ACCESS_KEY=your_secret_key
export AWS_DEFAULT_REGION=us-east-1
export OPENAI_API_KEY=your_openai_key # or ANTHROPIC_API_KEY / GEMINI_API_KEYReview the config.yaml file
Open config.yaml and set your preferred provider, model, and safety settings. Start with dry_run: true so the agent shows you the Terraform plan without executing it.
agent:
provider: "openai"
model: "gpt-4"
max_tokens: 4000
temperature: 0.1
dry_run: true
auto_resolve_conflicts: falseStart the agent with Docker Compose
Launch the agent using Docker Compose, which is the recommended approach as it handles all dependencies automatically.
docker-compose up -dConfigure your MCP client
Add the AI Infrastructure Agent to your Claude Desktop or other MCP client configuration file. The agent exposes its capabilities over the MCP protocol.
Test with a simple infrastructure command
Once connected, test with a simple prompt to verify the agent can communicate with AWS. With dry_run enabled, it will show the planned changes without modifying your infrastructure.
AI Infrastructure Agent Examples
Client configuration
Add this block to your claude_desktop_config.json to connect the AI Infrastructure Agent as an MCP server. Replace environment values with your actual credentials.
{
"mcpServers": {
"ai-infrastructure-agent": {
"command": "docker",
"args": ["exec", "-i", "ai-infrastructure-agent", "/app/agent"],
"env": {
"AWS_ACCESS_KEY_ID": "your_access_key",
"AWS_SECRET_ACCESS_KEY": "your_secret_key",
"AWS_DEFAULT_REGION": "us-east-1",
"OPENAI_API_KEY": "your_openai_key"
}
}
}
}Prompts to try
These prompts demonstrate the natural language infrastructure management capabilities of the agent.
- "Create an EC2 instance for hosting an Apache Server with a dedicated security group that allows inbound HTTP (port 80) and SSH (port 22) traffic"
- "Deploy a load-balanced web application with 2 EC2 instances behind an ALB"
- "Set up a development environment with VPC, subnets, EC2, and RDS"
- "Create a t3.micro EC2 instance with Ubuntu 22.04 in us-east-1"
- "Show me all running EC2 instances in my account"Troubleshooting AI Infrastructure Agent
AWS authentication errors when running commands
Verify your AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, and AWS_DEFAULT_REGION environment variables are set correctly and the IAM user has permissions for the services you want to manage (EC2, VPC, ELB, etc.).
Agent makes changes without confirmation
Set dry_run: true in config.yaml. This makes the agent generate and show the Terraform plan without executing it, giving you a chance to review before setting auto_resolve_conflicts: false for manual approval of each step.
AI provider API key not recognized
Ensure you are setting the correct environment variable for your chosen provider: OPENAI_API_KEY for OpenAI, ANTHROPIC_API_KEY for Claude, GEMINI_API_KEY for Gemini, or OLLAMA_SERVER_URL for local Ollama instances.
Frequently Asked Questions about AI Infrastructure Agent
What is AI Infrastructure Agent?
AI Infrastructure Agent is a Model Context Protocol (MCP) server that ai infrastructure agent is an intelligent system that allows you to manage aws infrastructure using natural language commands. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install AI Infrastructure Agent?
Follow the installation instructions on the AI Infrastructure Agent GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with AI Infrastructure Agent?
AI Infrastructure Agent works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is AI Infrastructure Agent free to use?
Yes, AI Infrastructure Agent is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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Set Up AI Infrastructure Agent in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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