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Aws Cost Explorer And Amazon Bedrock Model Invocation Logs MCP Server And Client
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Aws Cost Explorer And Amazon Bedrock Model Invocation Logs MCP Server And Client

This project is an AWS cost analysis tool based on the Anthropic MCP protocol, providing a natural language interaction interface through the Claude model. It can query AWS Cost Explorer and Bedrock model call log data, and supports local and remote deployment.
Cloud platformMonitoring#AWS Cost Analysis#MCP Protocol#Natural Language Interaction#Bedrock Monitoring.Python
2 points
10

What is the AWS Cost Explorer MCP Server?

This is a server based on the Anthropic Model Context Protocol (MCP) for analyzing and visualizing AWS cloud cost data. Through natural language queries, you can easily understand the usage of AWS services such as EC2 and Bedrock.

How to use the AWS Cost Explorer MCP Server?

You can connect to the MCP server locally or remotely and use natural language questions to obtain detailed cost reports.

Applicable Scenarios

Suitable for enterprises that need to regularly monitor AWS costs, especially teams looking to optimize cloud spending.

Main Features

EC2 Expense AnalysisView the detailed expenditure of EC2 in the past day.
Bedrock Usage StatisticsAnalyze the usage of Bedrock models in the past 30 days by region and user.
Comprehensive Service Expense ReportGenerate an expense report for all AWS services in the past 30 days.
Analysis by Day and RegionObtain detailed cost data by day, region, service, and instance type.

Advantages and Limitations

Advantages
An intuitive natural language query interface
Support for cost analysis of multiple AWS services
Providing detailed cost breakdown
Limitations
Requires AWS account permissions
May require certain network configurations

How to Use

Install Dependencies
Ensure that Python 3.12 and the necessary AWS credentials are installed.
Start the Server
Run the script to start the MCP server.
Configure the Client
Configure the MCP server address in Claude Desktop.

Usage Examples

Query the Bedrock Usage in the Past WeekAnalyze the usage of Bedrock models in the past week.
View the AWS Service Expenditure in the Past MonthGet the expenditure of all AWS services in the past month.

Frequently Asked Questions

How to configure AWS credentials?
Does it support HTTPS connection?

Related Resources

Official Documentation
Project GitHub repository.
Claude Desktop
AI assistant integrated with MCP.
AWS Cost Explorer API
AWS official API documentation.
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "aws-cost-explorer": {
      "command": "docker",
      "args": [ "run", "-i", "--rm", "-e", "AWS_ACCESS_KEY_ID", "-e", "AWS_SECRET_ACCESS_KEY", "-e", "AWS_REGION", "-e", "BEDROCK_LOG_GROUP_NAME", "-e", "MCP_TRANSPORT", "aws-cost-explorer-mcp:latest" ],
      "env": {
        "AWS_ACCESS_KEY_ID": "YOUR_ACCESS_KEY_ID",
        "AWS_SECRET_ACCESS_KEY": "YOUR_SECRET_ACCESS_KEY",
        "AWS_REGION": "us-east-1",
        "BEDROCK_LOG_GROUP_NAME": "YOUR_CLOUDWATCH_BEDROCK_MODEL_INVOCATION_LOG_GROUP_NAME",
        "MCP_TRANSPORT": "stdio"
      }
    }
  }
}

{
  "mcpServers": {
    "aws_cost_explorer": {
      "command": "uv",
      "args": [
          "--directory",
          "/path/to/aws-cost-explorer-mcp-server",
          "run",
          "server.py"
      ],
      "env": {
        "AWS_ACCESS_KEY_ID": "YOUR_ACCESS_KEY_ID",
        "AWS_SECRET_ACCESS_KEY": "YOUR_SECRET_ACCESS_KEY",
        "AWS_REGION": "us-east-1",
        "BEDROCK_LOG_GROUP_NAME": "YOUR_CLOUDWATCH_BEDROCK_MODEL_INVOCATION_LOG_GROUP_NAME",
        "MCP_TRANSPORT": "stdio"
      }
    }
  }
}
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