Skip to main content

A Model Context Protocol server for Amazon SNS and SQS to provision and manage your messaging services

Project description

Amazon SNS / SQS MCP Server

A Model Context Protocol (MCP) server for Amazon SNS / SQS that enables generative AI models to manage SNS Topics and SQS Queues through MCP tools.

Features

This MCP server acts as a bridge between MCP clients and Amazon SNS / SQS, allowing generative AI models to create, configure, and manage Topics / Queues. The server provides a secure way to interact with Amazon SNS / SQS resources while maintaining proper access controls and resource tagging.

graph LR
    A[Model] <--> B[MCP Client]
    B <--> C["Amazon SNS / SQS MCP Server"]
    C <--> D[Amazon SNS / SQS Service]
    style A fill:#f9f,stroke:#333,stroke-width:2px
    style B fill:#bbf,stroke:#333,stroke-width:2px
    style C fill:#bfb,stroke:#333,stroke-width:4px
    style D fill:#fbb,stroke:#333,stroke-width:2px

From a security perspective, this server implements resource tagging to ensure that only resources created through the MCP server can be modified by it. This prevents unauthorized modifications to existing Amazon MQ resources that were not created by the MCP server.

Key Capabilities

This MCP server provides tools to:

  • Create, list, and manage Amazon SNS topics
  • Create, list, and manage Amazon SNS subscriptions
  • Create, list, and manage Amazon SQS queues
  • Send and receive messages using SNS and SQS

Prerequisites

  1. Install uv from Astral or the GitHub README
  2. Install Python using uv python install 3.10
  3. AWS account with permissions to create and manage Amazon SNS / SQS resources

Setup

IAM Configuration

  1. Provision a user in your AWS account IAM
  2. Attach ONLY AmazonSNSFullAccess and AmazonSQSFullAccess to the new user
  3. Use aws configure on your environment to configure the credentials (access ID and access key)

Installation

Configure the MCP server in your MCP client configuration (e.g., for Amazon Q Developer CLI, edit ~/.aws/amazonq/mcp.json):

{
  "mcpServers": {
    "awslabs.amazon-sns-sqs-mcp-server": {
      "command": "uvx",
      "args": ["awslabs.amazon-sns-sqs-mcp-server@latest"],
      "env": {
        "AWS_PROFILE": "your-aws-profile",
        "AWS_REGION": "us-east-1"
      }
    }
  }
}

or docker after a succesful docker build -t awslabs/amazon-sns-sqs-mcp-server.:

# ficticious `.env` file with AWS temporary credentials
AWS_ACCESS_KEY_ID=<from the profile you set up>
AWS_SECRET_ACCESS_KEY=<from the profile you set up>
AWS_SESSION_TOKEN=<from the profile you set up>
  {
    "mcpServers": {
      "awslabs.lambda-mcp-server": {
        "command": "docker",
        "args": [
          "run",
          "--rm",
          "--interactive",
          "--env-file",
          "/full/path/to/file/above/.env",
          "awslabs/amazon-sns-sqs-mcp-server:latest"
        ],
        "env": {},
        "disabled": false,
        "autoApprove": []
      }
    }
  }

Server Configuration Options

The Amazon SNS / SQS MCP Server supports several command-line arguments that can be used to configure its behavior:

--sse

Use Server-Sent Events (SSE) transport instead of stdio. Default is False.

Example:

uv run awslabs.amazon-sns-sqs-mcp-server --sse

--port PORT

Specifies the port number on which the server will listen. Default is 6274.

Example:

uv run awslabs.amazon-sns-sqs-mcp-server --port 9000

--allow-resource-creation

Enables tools that create resources in the user's AWS account. When this flag is not enabled, the create new resources tools will be hidden from the MCP client, preventing the creation of new Amazon SNS / SQS resources. Default is False.

This flag is particularly useful for:

  • Testing environments where resource creation should be restricted
  • Limiting the scope of actions available to the AI model

Example:

uv run awslabs.amazon-sns-sqs-mcp-server --disallow-resource-creation

Security Features

The MCP server implements a security mechanism that only allows modification of resources that were created by the MCP server itself. This is achieved by:

  1. Automatically tagging all created resources with a mcp_server_version tag
  2. Validating this tag before allowing any mutative actions (update, delete, reboot)
  3. Rejecting operations on resources that don't have the appropriate tag
  4. A2P Mutative Operations are not enabled

Best Practices

  • Use descriptive broker names to easily identify resources
  • Follow the principle of least privilege when setting up IAM permissions
  • Use separate AWS profiles for different environments (dev, test, prod)
  • Monitor broker metrics and logs for performance and issues
  • Implement proper error handling in your client applications

Security Considerations

When using this MCP server, consider:

  • The MCP server needs permissions to create and manage Amazon SNS / SQS resources
  • Only resources created by the MCP server can be modified by it

Troubleshooting

  • If you encounter permission errors, verify your IAM user has the correct policies attached
  • For connection issues, check network configurations and security groups
  • If resource modification fails with a tag validation error, it means the resource was not created by the MCP server
  • For general Amazon SNS / SQS issues, consult the Amazon SNS documentation , Amazon SQS documentation

Version

Current MCP server version: 0.0.0

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

awslabs_amazon_sns_sqs_mcp_server-1.0.1.tar.gz (88.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file awslabs_amazon_sns_sqs_mcp_server-1.0.1.tar.gz.

File metadata

File hashes

Hashes for awslabs_amazon_sns_sqs_mcp_server-1.0.1.tar.gz
Algorithm Hash digest
SHA256 4c61db43d1fcabb1e40c953d77b3b837f75d7bc3d74a10905aadb9fafd2cad41
MD5 a0dca74b562b337c4974ed74c459c49c
BLAKE2b-256 1cc4c73d6bfed595a839588f0a7594c8c8cd381430393e6cee71244e5eab9045

See more details on using hashes here.

Provenance

The following attestation bundles were made for awslabs_amazon_sns_sqs_mcp_server-1.0.1.tar.gz:

Publisher: release.yml on awslabs/mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file awslabs_amazon_sns_sqs_mcp_server-1.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for awslabs_amazon_sns_sqs_mcp_server-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 771d554b7e6867f79d990f7ca5ebfded96bf29569e4d89eb4d035c119be50b57
MD5 f54fb0eb699e34306f7943311e0022e3
BLAKE2b-256 2930ccb6442ea7a0ea39109a0c99b98274d1da3ca0708c50b1c2fc50c244e545

See more details on using hashes here.

Provenance

The following attestation bundles were made for awslabs_amazon_sns_sqs_mcp_server-1.0.1-py3-none-any.whl:

Publisher: release.yml on awslabs/mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page