The AWS MCP server enables AI agents to interact with AWS services via natural language through Claude. It provides tools to manage AWS resources, including EC2, S3, and Lambda. The server connects directly to the AWS API, allowing agents to perform actions like launching instances, managing buckets, and deploying functions. Developers use it to automate AWS operations, build AI-driven cloud management tools, and integrate AWS services into AI workflows.
The AWS MCP server enables AI agents to interact with AWS services via natural language through Claude. It provides tools to manage AWS resources, including EC2, S3, and Lambda. The server connects directly to the AWS API, allowing agents to perform actions like launching instances, managing buckets, and deploying functions. Developers use it to automate AWS operations, build AI-driven cloud management tools, and integrate AWS services into AI workflows.
npx -y chatwithcloud-mcpAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"rafalwilinski-aws-mcp-github": {
"command": "npx",
"args": [
"-y",
"npx -y chatwithcloud-mcp"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from aws mcp?"
API Key Required
This server requires an API key from aws mcp. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| AWS_MCP_API_KEY | Yes | Your aws mcp API key |
"What resources are available in aws mcp?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in aws mcp"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in aws mcp with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.