AWS Resources MCP Server

A Python-based MCP server that lets Claude run boto3 code to query and manage AWS resources. Execute powerful AWS operations directly through Claude with proper sandboxing and containerization. No need for complex setups - just pass your AWS credentials and start interacting with all AWS services.

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Overview

AWS Resources MCP Server is a Model Context Protocol (MCP) server that allows users to run generated Python code to query AWS resources using the boto3 library.

To use the server, you need to set up AWS credentials and run the server via Docker. You can execute Python code snippets to query AWS resources directly.

Direct querying of AWS resources using Python and boto3. - Docker-based deployment for easy setup and management. - Supports a variety of AWS services through customizable Python scripts. - Allows management operations beyond read-only access, depending on user permissions.

Querying S3 buckets and their contents.
Retrieving the latest deployment from AWS CodePipeline.
Executing custom Python scripts to automate AWS resource management.

Add to your AI client

Use these steps to connect AWS Resources MCP Server in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "mcp-server-aws-resources-python-baryhuang": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-server-aws-resources-python-baryhuang"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "mcp-server-aws-resources-python-baryhuang": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-server-aws-resources-python-baryhuang"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "mcp-server-aws-resources-python-baryhuang": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-server-aws-resources-python-baryhuang"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "mcp-server-aws-resources-python-baryhuang": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-server-aws-resources-python-baryhuang"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "mcp-server-aws-resources-python-baryhuang": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-server-aws-resources-python-baryhuang"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "mcp-server-aws-resources-python-baryhuang": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-server-aws-resources-python-baryhuang"
      ]
    }
  }
}

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