AWS Resources MCP Server

What is AWS Resources MCP Server?

AWS Resources MCP Server is a Model Context Protocol (MCP) server that allows users to run generated Python code to query AWS resources using the boto3 library.

How to use AWS Resources MCP Server?

To use the server, you need to set up AWS credentials and run the server via Docker. You can execute Python code snippets to query AWS resources directly.

Key features of AWS Resources MCP Server?

• Direct querying of AWS resources using Python and boto3.
• Docker-based deployment for easy setup and management.
• Supports a variety of AWS services through customizable Python scripts.
• Allows management operations beyond read-only access, depending on user permissions.

Use cases of AWS Resources MCP Server?

1. Querying S3 buckets and their contents.
2. Retrieving the latest deployment from AWS CodePipeline.
3. Executing custom Python scripts to automate AWS resource management.

FAQ from AWS Resources MCP Server?

• What permissions do I need to use this server?

  You need AWS credentials with appropriate permissions to query the AWS resources you intend to access.

• Is it necessary to use Docker?

  While Docker is recommended for ease of use, you can also run the server locally if you prefer.

• Can I contribute to the project?

  Yes! The server is designed for Python developers to easily contribute and extend its functionality.