mcp-proxy-for-aws 1.0.0

MCP Proxy for AWS

MCP Proxy for AWS

Overview

The MCP Proxy for AWS serves as a lightweight, client-side bridge between MCP clients (AI assistants and developer tools) and backend AWS MCP servers.

The proxy handles SigV4 authentication using local AWS credentials and provides dynamic tool discovery, making it ideal for developers who want access to AWS Hosted SigV4 secured MCP Servers without complex gateway setups.

Prerequisites

• Install Python 3.10+
• Install the uv package manager
• Install and configure the AWS CLI with credentials
• (Optional, for docker users) Install Docker Desktop

Installation

Using PyPi

# Run the server
uvx mcp-proxy-for-aws@latest <SigV4 MCP endpoint URL>

Using Local Repository

git clone https://github.com/aws/mcp-proxy-for-aws.git
cd mcp-proxy-for-aws
uv run mcp_proxy_for_aws/server.py <SigV4 MCP endpoint URL>

Using Docker

# Build the Docker image
docker build -t mcp-proxy-for-aws .

Configuration Parameters

Parameter	Description	Default	Required
endpoint	MCP endpoint URL (e.g., https://your-service.us-east-1.amazonaws.com/mcp)	N/A	Yes
---	---	---	---
--service	AWS service name for SigV4 signing	Inferred from endpoint if not provided	No
--profile	AWS profile for AWS credentials to use	Uses AWS_PROFILE environment variable if not set	No
--region	AWS region to use	Uses AWS_REGION environment variable if not set, defaults to us-east-1	No
--read-only	Disable tools which may require write permissions (tools which DO NOT require write permissions are annotated with readOnlyHint=true)	False	No
--retries	Configures number of retries done when calling upstream services, setting this to 0 disables retries.	0	No
--log-level	Set the logging level (DEBUG/INFO/WARNING/ERROR/CRITICAL)	INFO	No
--timeout	Set desired timeout in seconds across all operations	180	No
--connect-timeout	Set desired connect timeout in seconds	60	No
--read-timeout	Set desired read timeout in seconds	120	No
--write-timeout	Set desired write timeout in seconds	180	No

Optional Environment Variables

Set the environment variables for the MCP Proxy for AWS:

# Credentials through profile
export AWS_PROFILE=<aws_profile>

# Credentials through parameters
export AWS_ACCESS_KEY_ID=<access_key_id>
export AWS_SECRET_ACCESS_KEY=<secret_access_key>
export AWS_SESSION_TOKEN=<session_token>

# AWS Region
export AWS_REGION=<aws_region>

Setup Examples

Add the following configuration to your MCP client config file (e.g., for Amazon Q Developer CLI, edit ~/.aws/amazonq/mcp.json): Note Add your own endpoint by replacing <SigV4 MCP endpoint URL>

Running from local - using uv

{
  "mcpServers": {
    "<mcp server name>": {
      "disabled": false,
      "type": "stdio",
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/mcp_proxy_for_aws",
        "run",
        "server.py",
        "<SigV4 MCP endpoint URL>",
        "--service",
        "<your service code>",
        "--profile",
        "default",
        "--region",
        "us-east-1",
        "--read-only",
        "--log-level",
        "INFO",
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "<mcp server name>": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "--volume",
        "/full/path/to/.aws:/app/.aws:ro",
        "mcp-proxy-for-aws",
        "<SigV4 MCP endpoint URL>"
      ],
      "env": {}
    }
  }
}

Development & Contributing

For development setup, testing, and contribution guidelines, see:

• DEVELOPMENT.md - Development environment setup and testing
• CONTRIBUTING.md - How to contribute to this project

Resources to understand SigV4:

• https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_sigv.html
• SigV4: https://github.com/boto/botocore/blob/develop/botocore/signers.py
• SigV4a: https://github.com/aws-samples/sigv4a-signing-examples/blob/main/python/sigv4a_sign.py

License

Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License").

Disclaimer

This mcp-proxy-for-aws package is provided "as is" without warranty of any kind, express or implied, and is intended for development, testing, and evaluation purposes only. We do not provide any guarantee on the quality, performance, or reliability of this package. LLMs are non-deterministic and they make mistakes, we advise you to always thoroughly test and follow the best practices of your organization before using these tools on customer facing accounts. Users of this package are solely responsible for implementing proper security controls and MUST use AWS Identity and Access Management (IAM) to manage access to AWS resources. You are responsible for configuring appropriate IAM policies, roles, and permissions, and any security vulnerabilities resulting from improper IAM configuration are your sole responsibility. By using this package, you acknowledge that you have read and understood this disclaimer and agree to use the package at your own risk.