io.github.musaddiq-dev/aws-cli-mcp-server
A Python MCP server that lets MCP-compatible clients inspect and operate AWS through the AWS CLI, with command execution, suggestions, region lookup, and caller identity checks.
README
<!-- mcp-name: io.github.musaddiq-dev/aws-cli-mcp-server -->
AWS MCP Server
A Python Model Context Protocol (MCP) server that lets MCP-compatible clients inspect and operate AWS through the AWS CLI. It supports command execution with validation, command suggestions, AWS region lookup, and caller identity checks.
Features
- Execute AWS CLI commands without shell expansion, preserving quoted arguments with shell-style parsing
- Suggest common AWS CLI commands from natural language requests
- Return available AWS regions
- Return the current caller identity
- Support stdio transport for local MCP clients
- Validate configuration and write logs to stderr plus a local log file
Safety Model
This server can execute AWS CLI commands using the credentials available to the process. It blocks shell operators by using subprocess.run(..., shell=False) and flags destructive-looking commands, but it cannot replace IAM least privilege or human review. Use scoped AWS profiles or roles, prefer non-production accounts for testing, and keep destructive commands on manual approval in your MCP client.
Requirements
- Python 3.12+
- AWS CLI v2 installed and available on
PATH - AWS CLI authentication configured and configuration through an AWS profile, IAM Identity Center/SSO, environment variables, an IAM role, or another AWS-supported credential provider
- MCP-compatible client such as Claude Desktop, Cursor, VS Code, or another MCP host
Installation
When published to PyPI, install or run the server like a standard Python MCP package:
uvx mdev-aws-mcp-server
For local development from source:
git clone https://github.com/musaddiq-dev/aws-cli-mcp-server.git
cd aws-cli-mcp-server
python -m venv .venv
source .venv/bin/activate
pip install -e .
Configuration
Before running this server, install the AWS CLI using the official AWS CLI install guide, then configure credentials using the official AWS CLI sign-in guide and AWS CLI configuration guide. AWS recommends short-term credentials where possible; avoid long-term IAM user keys unless your use case requires them.
Copy the example environment file and adjust values as needed.
cp .env.example .env
| Variable | Description | Default |
|---|---|---|
AWS_REGION |
Default AWS region | us-east-1 |
AWS_PROFILE |
AWS credentials profile | default |
AWS_MCP_WORKING_DIR |
Working directory for file operations | /tmp/aws-mcp-work |
AWS_MCP_REQUIRE_CONFIRMATION |
Emit warnings for destructive-looking operations | true |
AWS_MCP_LOG_LEVEL |
Application log level | INFO |
Running
mdev-aws-mcp-server
From a local checkout before PyPI publication, run:
python -m aws_mcp_server.server
MCP Client Configuration
For published installs, prefer uvx. MCP servers using stdio must write protocol messages only to stdout; this server writes logs to stderr and a local file under ~/.aws-mcp-server/logs.
Claude Desktop / Cursor / Windsurf / Cline
Most MCP clients accept this mcpServers JSON shape:
{
"mcpServers": {
"aws": {
"command": "uvx",
"args": ["mdev-aws-mcp-server"],
"env": {
"AWS_PROFILE": "default",
"AWS_REGION": "us-east-1"
}
}
}
}
For local development from this repository, use the installed console script path instead:
{
"mcpServers": {
"aws": {
"command": "/absolute/path/to/aws-cli-mcp-server/.venv/bin/mdev-aws-mcp-server",
"args": [],
"env": {
"AWS_PROFILE": "default",
"AWS_REGION": "us-east-1"
}
}
}
}
Claude Code CLI
claude mcp add aws --env AWS_PROFILE=default --env AWS_REGION=us-east-1 -- uvx mdev-aws-mcp-server
VS Code MCP
VS Code uses the same command/args/env model in its MCP configuration:
{
"servers": {
"aws": {
"type": "stdio",
"command": "uvx",
"args": ["mdev-aws-mcp-server"],
"env": {
"AWS_PROFILE": "default",
"AWS_REGION": "us-east-1"
}
}
}
}
Tools
| Tool | Purpose | Safety |
|---|---|---|
call_aws |
Execute an AWS CLI command | Can modify AWS resources |
suggest_aws_commands |
Suggest common AWS CLI commands | Read-only |
get_aws_regions |
List AWS regions | Read-only |
get_caller_identity |
Return current AWS identity | Read-only |
Development
pip install -e .
pip install -e '.[dev]'
pytest
ruff check .
ruff format .
pyright
Smoke Check
python -m py_compile src/aws_mcp_server/server.py src/aws_mcp_server/config.py src/aws_mcp_server/aws/executor.py
python -m pytest
Manual AWS check, if credentials are configured:
aws sts get-caller-identity
Distribution
This server is published through the standard Python MCP distribution path:
- PyPI package:
mdev-aws-mcp-server - MCP Registry name:
io.github.musaddiq-dev/aws-cli-mcp-server - Runtime hint:
uvx - Transport:
stdio
The mcp-name marker at the top of this README is required for MCP Registry ownership verification. Users should prefer uvx mdev-aws-mcp-server in local MCP client configurations.
Security Notes
- Do not commit
.env, AWS credentials, profiles, access keys, or account-specific outputs. - Use least-privilege IAM permissions for the profile or role running this server.
- Keep
call_awson explicit manual approval in your MCP client. - Do not expose this server over a network without adding authentication, TLS, and network controls.
- Review generated command suggestions before executing them.
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.