AWS Cost Explorer and Amazon Bedrock Model Invocation Logs MCP Server & Client

What is AWS Cost Explorer MCP Server?

AWS Cost Explorer MCP Server is a tool designed to analyze and visualize AWS cloud spending data using the Model Control Protocol (MCP) and Anthropic's Claude model as an interactive interface. It allows users to query their AWS costs in natural language.

How to use AWS Cost Explorer MCP Server?

To use the server, you need to set up the environment, install dependencies, and configure your AWS credentials. You can run the server locally or on Amazon EC2, and access it via the Claude Desktop or a LangGraph Agent.

Key features of AWS Cost Explorer MCP Server?

• Detailed breakdown of EC2 spending for the last day.
• Breakdown of Amazon Bedrock usage by region, users, and models over the last 30 days.
• Service spend reports for all AWS services for the last 30 days.
• Interactive querying of cost data using natural language through Claude.

Use cases of AWS Cost Explorer MCP Server?

1. Analyzing AWS spending trends over time.
2. Understanding costs associated with specific AWS services.
3. Generating detailed reports for budgeting and forecasting.

FAQ from AWS Cost Explorer MCP Server?

• Can I run the server locally?

Yes, you can run the MCP server locally or on Amazon EC2.

• What are the prerequisites for using this tool?

You need Python 3.12, AWS credentials with Cost Explorer access, and optionally, access to Amazon Bedrock.

• Is there a demo available?

Yes, a demo video is available on the project's GitHub page.