Sandbox
@alexei-led/cloud-mcp-server

MCP server for AWS CLI commands

This server connects MCP-aware assistants to the AWS CLI instead of wrapping each AWS API one by one. The assistant can ask for `--help` on a command, then execute AWS CLI pipelines with optional shell filters like `jq` or `grep`. It works with your existing AWS credentials and IAM policy, and it can run either directly or inside Docker for more isolation.

186 stars33 forksPythonUpdated 6mo ago
Who it's for

Builders who want their assistant to manage AWS services through the AWS CLI.

What it delivers

You can let an assistant inspect AWS command help and run cloud operations without building custom AWS wrappers.

What it does

AWS CLI help tool

`aws_cli_help` returns documentation for any AWS CLI command on demand.

AWS CLI pipeline tool

`aws_cli_pipeline` runs AWS CLI commands and supports pipes such as `jq` and `grep`.

Containerized execution

Docker mode runs the AWS CLI in a container to give the assistant more isolation from the host.

MCP transport options

Supports `stdio` and `streamable-http` transport for desktop and web MCP clients.

Credential and profile support

Uses the standard AWS credential chain, including environment variables, shared files, and IAM roles.

Security boundaries through IAM

Your IAM permissions decide what the assistant can actually do, even if it can form the command.

How to get it

  1. 1For web-based MCP clients, use the streamable-http transport
    docker run --rm -p 8000:8000 \
      -e AWS_MCP_TRANSPORT=streamable-http \
      -v ~/.aws:/home/appuser/.aws:ro \
      ghcr.io/alexei-led/aws-mcp-server:latest

README

AWS MCP Server

CI PyPI Code Coverage Linter: Ruff Docker Image

Give Claude access to all 200+ AWS services through the AWS CLI.

Demo

Demo

What It Does

This MCP server lets Claude run AWS CLI commands on your behalf. Instead of wrapping each AWS API individually, it wraps the CLI itself—giving Claude complete AWS access through just two tools:

ToolPurpose
aws_cli_helpGet documentation for any AWS command
aws_cli_pipelineExecute AWS CLI commands with optional pipes (jq, grep, etc.)

Claude learns commands on-demand using --help, then executes them. Your IAM policy controls what it can actually do.

flowchart LR
    Claude[Claude] -->|MCP| Server[AWS MCP Server]
    Server --> CLI[AWS CLI]
    CLI --> AWS[AWS Cloud]
    IAM[Your IAM Policy] -.->|controls| AWS

What's New

  • Streamable HTTP transport — New streamable-http transport for web-based MCP clients, replacing the deprecated sse transport (#33)
  • Input validation error handling — Validation errors now return proper MCP tool errors (isError: true) instead of regular results (#34)
  • Server description — Server advertises its purpose to MCP clients via the instructions field (#35)
  • Server icons — Server provides icon metadata for MCP client display (#36)
  • Graceful shutdown — Server disconnects cleanly when the MCP client disconnects (#16)

Quick Start

Prerequisites

Claude Code

Add to your MCP settings (Cmd+Shift+P → "Claude: Open MCP Config"):

{
  "mcpServers": {
    "aws": {
      "command": "uvx",
      "args": ["aws-mcp"]
    }
  }
}

Claude Desktop

Add to your Claude Desktop config file:

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

{
  "mcpServers": {
    "aws": {
      "command": "uvx",
      "args": ["aws-mcp"]
    }
  }
}

Docker (More Secure)

Docker provides stronger isolation by running commands in a container:

{
  "mcpServers": {
    "aws": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-v",
        "~/.aws:/home/appuser/.aws:ro",
        "ghcr.io/alexei-led/aws-mcp-server:latest"
      ]
    }
  }
}

Note: Replace ~/.aws with the full path on Windows (e.g., C:\Users\YOU\.aws).

Docker with Streamable HTTP Transport

For web-based MCP clients, use the streamable-http transport:

docker run --rm -p 8000:8000 \
  -e AWS_MCP_TRANSPORT=streamable-http \
  -v ~/.aws:/home/appuser/.aws:ro \
  ghcr.io/alexei-led/aws-mcp-server:latest

The server will be available at http://localhost:8000/mcp.

Note: The sse transport is deprecated. Use streamable-http instead.

AWS Credentials

The server uses the standard AWS credential chain. Your credentials are discovered automatically from:

  1. Environment variables: AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY
  2. Credentials file: ~/.aws/credentials
  3. Config file: ~/.aws/config (for profiles and region)
  4. IAM role: When running on EC2, ECS, or Lambda

To use a specific profile:

{
  "mcpServers": {
    "aws": {
      "command": "uvx",
      "args": ["aws-mcp"],
      "env": {
        "AWS_PROFILE": "my-profile"
      }
    }
  }
}

Configuration

AWS Settings

Environment VariableDescriptionDefault
AWS_PROFILEAWS profile to usedefault
AWS_REGIONAWS region (also accepts AWS_DEFAULT_REGION)us-east-1
AWS_CONFIG_FILECustom path to AWS config file~/.aws/config
AWS_SHARED_CREDENTIALS_FILECustom path to credentials file~/.aws/credentials

Server Settings

Environment VariableDescriptionDefault
AWS_MCP_TIMEOUTCommand execution timeout in seconds300
AWS_MCP_MAX_OUTPUTMaximum output size in characters100000
AWS_MCP_TRANSPORTTransport protocol (stdio, sse, or streamable-http)stdio
AWS_MCP_SANDBOXSandbox mode (auto, disabled, required)auto
AWS_MCP_SANDBOX_CREDENTIALSCredential passing (env, aws_config, both)both

Security

Your IAM policy is your security boundary. This server executes whatever AWS commands Claude requests—IAM controls what actually succeeds.

Best practices:

  • Use a least-privilege IAM role (only permissions Claude needs)
  • Never use root credentials
  • Consider Docker for additional host isolation

For detailed security architecture, see Security Documentation.

Documentation

License

MIT License — see LICENSE for details.

Files in the repo

Repository payload20 top-level entries
  • .github
  • deploy
  • docs
  • media
  • src
  • tests
  • .dockerignore
  • .gitignore
  • CLAUDE.md
  • codecov.yml
  • CONTRIBUTING.md
  • LICENSE
  • llms.txt
  • Makefile
  • pyproject.toml
  • README.md
  • SECURITY.md
  • smithery.yaml
  • spec.md
  • uv.lock

Discussion (0)

Ask about usage, or say what you built with it

Sign in to join the discussion.

No comments yet. Be the first to say what this is good for.

More connectors

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

43k

Universal provider proxy for OpenAI Codex & Claude Code — use any LLM (Claude, Gemini, Grok, DeepSeek, Ollama…) with Codex CLI, App, SDK, and Claude Code

14k
okf-memory/
okf-agent-memory

Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.

547
tirth8205/
code-review-graph

Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.

31k
2akouwu/
reverify

Stop your AI from making things up — it proposes, deterministic tools decide, every claim checked against ground truth with evidence. Grounded facts and context survive resets. Reverse engineering is the proving ground. MCP server + CLI.

1.1k
t8y2/dbxConnectors

20 MB lightweight cross-platform database client for 90+ databases, including MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, SQL Server, and Dameng. Built-in AI, MCP Server, CLI, desktop and Docker. | 轻量级跨平台数据库管理工具,支持 MySQL、PostgreSQL、SQLite、Redis、MongoDB、达梦等 90+ 数据库,提供桌面端、Docker、CLI、内置 AI 助手和 MCP Server。

19k