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Provides a comprehensive suite of tools for interacting with AWS services like S3, EC2, and Lambda using natural language commands. It enables AI assistants to
Provides a comprehensive suite of tools for interacting with AWS services like S3, EC2, and Lambda using natural language commands. It enables AI assistants to inspect, manage, and operate AWS resources directly through the Model Context Protocol using your local credentials.

Aws Claw is a Visual Studio Code (and forks including Google Antigravity, Windsurf etc.) extension that brings AWS interaction into your chat experience. Use natural language to inspect and operate AWS resources with your existing credentials. The extension exposes AWS-aware tools that execute actions directly on your behalf.
Agent Or Plan Mode: The extension registers AWS service tools that the AI assistant can invoke based on your requests. You can ask questions, and the assistant will call the appropriate tools to fetch data or perform actions. We recommend starting with this mode for most use cases.
Ask Or Edit Mode: You can also ask questions or issue commands directly using the "@aws" prefix in the chat input. The assistant will respond with the requested information or perform the specified actions. We recommend this mode for quick queries or simple tasks or if you dont have access to Agent/Plan mode.
| S3 | SQS | SNS | EC2 |
| Lambda | Step Functions | EMR | CloudWatch Logs |
| CloudFormation | RDS | DynamoDB | IAM |
| STS | Glue | API Gateway |
Click here for the full list of supported AWS services and actions.
Q: How does Aws Claw authenticate to AWS?
A: It uses your existing AWS credentials configured locally (via AWS CLI config, SSO, environment variables, etc.) and the AWS SDK provider chain.
Q: Are my AWS credentials stored by the extension?
A: No, credentials are not persisted outside VS Code global state. You can refresh or clear cached credentials from the Command Palette.
Q: What permissions are required?
A: The extension invokes AWS APIs using your account permissions. Use least-privilege IAM policies and verify the active profile before running mutating actions.
Q: Can I use this extension with multiple AWS accounts?
A: Yes, you can switch profiles using the status bar AWS selector or commands in the Command Palette.
Q: Is it possible the extension could perform unintended actions on my AWS account?
A: The extension always gets confirmation from you for the actions below before executing them:
Q: Can I see the AWS API calls being made?
A: Yes, you can see the AWS API call history in "Command History" panel and in the output channel named "Aws Claw-Log". To open the output channel, go to View -> Output, then select "Aws Claw-Log" from the dropdown. Top open the "Command History" panel, click on the "Aws Claw: Open Command History" command from the Command Palette. You can see the api call responses when you export the history to a file.
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Aws Claw ships with a set of agent skills that teach GitHub Copilot how to work with AWS services. Install them with:
npx skills add necatiarslan/awsclaw
Once installed, the skills are available in your agent sessions and provide the assistant with deep AWS service knowledge, best practices, and tool-usage guidance for all supported services.
Add more AWS services and actions.
Improve natural language understanding for AWS-specific queries.
Setting Panel like copilot for better user experience.
Добавь это в claude_desktop_config.json и перезапусти Claude Desktop.
{
"mcpServers": {
"aws-claw": {
"command": "npx",
"args": []
}
}
}Web content fetching and conversion for efficient LLM usage.
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also