AWS Resources MCP server

This MCP server implementation allows you to query and manage AWS resources by running Python code with boto3 directly from Claude. The server provides a secure environment for executing AWS queries and returning results in a structured format.

Installation Options

Docker Installation (Recommended)

The easiest way to get started is by pulling the pre-built Docker image:

docker pull buryhuang/mcp-server-aws-resources:latest

You can run the container using your AWS credentials:

docker run \
  -e AWS_ACCESS_KEY_ID=your_access_key_id_here \
  -e AWS_SECRET_ACCESS_KEY=your_secret_access_key_here \
  -e AWS_DEFAULT_REGION=your_preferred_region \
  buryhuang/mcp-server-aws-resources:latest

Alternatively, use a profile from your AWS credentials file:

docker run \
  -e AWS_PROFILE=your_profile_name \
  -v ~/.aws:/root/.aws \
  buryhuang/mcp-server-aws-resources:latest

Installation via Smithery

For automatic installation with Claude Desktop:

npx -y @smithery/cli install mcp-server-aws-resources-python --client claude

Configuring Claude Desktop

To use this server with Claude Desktop, you need to update your Claude Desktop configuration.

Using AWS Access Keys

{
  "mcpServers": {
    "aws-resources": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "AWS_ACCESS_KEY_ID=your_access_key_id_here",
        "-e",
        "AWS_SECRET_ACCESS_KEY=your_secret_access_key_here",
        "-e",
        "AWS_DEFAULT_REGION=us-east-1",
        "buryhuang/mcp-server-aws-resources:latest"
      ]
    }
  }
}

Using AWS Profile

{
  "mcpServers": {
    "aws-resources": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "AWS_PROFILE=default",
        "-v",
        "~/.aws:/root/.aws",
        "buryhuang/mcp-server-aws-resources:latest"
      ]
    }
  }
}

Using The MCP Server

Available Resources

The server exposes one main resource:

• aws://query_resources: Provides access to AWS resources through boto3 queries

Example Queries

List S3 Buckets

s3 = session.client('s3')
result = s3.list_buckets()

Get Latest CodePipeline Deployment

def get_latest_deployment(pipeline_name):
    codepipeline = session.client('codepipeline')

    result = codepipeline.list_pipeline_executions(
        pipelineName=pipeline_name,
        maxResults=5
    )

    if result['pipelineExecutionSummaries']:
        latest_execution = max(
            [e for e in result['pipelineExecutionSummaries']
             if e['status'] == 'Succeeded'],
            key=itemgetter('startTime'),
            default=None
        )

        if latest_execution:
            result = codepipeline.get_pipeline_execution(
                pipelineName=pipeline_name,
                pipelineExecutionId=latest_execution['pipelineExecutionId']
            )
        else:
            result = None
    else:
        result = None

    return result

result = get_latest_deployment("your-pipeline-name")

Important Notes

• All code snippets must set a result variable that will be returned to the client
• The server automatically converts the result to JSON, handling AWS-specific objects and datetime values
• The following imports are allowed:
  • boto3
  • operator
  • json
  • datetime
  • pytz
  • dateutil
  • re
  • time
• Standard built-in functions are available for data manipulation
• While read-only operations are safer, the server can execute management operations based on your AWS credentials' permissions

Security Considerations

• The server runs with the permissions of your provided AWS credentials
• No restrictions are placed on limiting operations to read-only, so use caution when executing operations that modify resources
• Your AWS user role will dictate what permissions and actions are allowed
• The server includes security features like AST-based code analysis and restricted execution environment

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "aws-resources" '{"command":"docker","args":["run","-i","--rm","-e","AWS_ACCESS_KEY_ID=your_access_key_id_here","-e","AWS_SECRET_ACCESS_KEY=your_secret_access_key_here","-e","AWS_DEFAULT_REGION=us-east-1","buryhuang/mcp-server-aws-resources:latest"]}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "aws-resources": {
            "command": "docker",
            "args": [
                "run",
                "-i",
                "--rm",
                "-e",
                "AWS_ACCESS_KEY_ID=your_access_key_id_here",
                "-e",
                "AWS_SECRET_ACCESS_KEY=your_secret_access_key_here",
                "-e",
                "AWS_DEFAULT_REGION=us-east-1",
                "buryhuang/mcp-server-aws-resources:latest"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "aws-resources": {
            "command": "docker",
            "args": [
                "run",
                "-i",
                "--rm",
                "-e",
                "AWS_ACCESS_KEY_ID=your_access_key_id_here",
                "-e",
                "AWS_SECRET_ACCESS_KEY=your_secret_access_key_here",
                "-e",
                "AWS_DEFAULT_REGION=us-east-1",
                "buryhuang/mcp-server-aws-resources:latest"
            ]
        }
    }
}

3. Restart Claude Desktop for the changes to take effect