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Aws Boto3 MCP Private
The AWS Boto3 MCP Server is a Python-based MCP service designed to monitor and manage AWS account resources by executing code through the Boto3 client of the AWS Python SDK. The service uses a front - end MCP server and a back - end AWS LightSail container architecture and ensures security by requiring the client to provide valid AWS credentials.
rating : 2 points
downloads : 13
What is the AWS Boto3 MCP Server?
This is a Model Context Protocol (MCP) server specifically designed to interact with AWS cloud services through Python code. It allows AI agents, development tools, or other clients to securely perform AWS resource management operations.How to use the AWS Boto3 MCP Server?
The client needs to provide valid AWS credentials (access key and secret key) as input parameters. The server will verify these credentials and then execute the requested operation.Use Cases
Suitable for scenarios where AWS resources need to be managed through AI agents or automation tools, such as integration with development tools like AWS Q Developer and Claude Desktop.Main Features
Secure Credential ManagementPerform secure verification through the AWS credentials provided by the client to ensure controllable operation permissions.
Boto3 IntegrationFully support all functions of the AWS Boto3 Python SDK.
OAuth2 SupportSupport OAuth2 authorization according to the MCP specification updated in March 2025.
Advantages and Limitations
Advantages
Secure architecture: Credentials are provided by the client, and the server does not store sensitive information.
Easy to deploy: Based on the AWS LightSail container service, simplifying operation and maintenance.
Flexible integration: Support various AI agents and development tools.
Limitations
The client needs to manage AWS credentials.
Limited to Python code execution.
Dependent on the AWS LightSail service.
How to Use
Obtain AWS Credentials
Create an access key with appropriate permissions from the AWS IAM service.
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Configure the MCP Client
Configure the MCP server address and credentials in your AI agent or development tool.
Send a Request
Send a request containing AWS credentials and Python code through the MCP protocol.
Usage Examples
Monitor EC2 InstancesRegularly check the status of EC2 instances through an AI agent.
Automated BackupAutomatically create snapshots of EBS volumes.
Frequently Asked Questions
How to ensure the security of my AWS credentials?
Which AWS services are supported?
How to limit access permissions?
Related Resources
MCP Protocol Specification
The latest MCP protocol specification document
AWS Boto3 Documentation
Official Boto3 SDK documentation
AWS LightSail Guide
Official AWS LightSail documentation
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