This MCP server enables detailed analysis of AWS cloud spending by integrating Cost Explorer API and CloudWatch logs, providing an interactive interface for querying AWS spend data in natural language through Anthropic's Claude model.
Added on:
Created by:
Apr 08 2025
This MCP server enables detailed analysis of AWS cloud spending by integrating Cost Explorer API and CloudWatch logs, providing an interactive interface for querying AWS spend data in natural language through Anthropic's Claude model.
Added on:
Created by:
Apr 08 2025
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What is AWS Cost Explorer MCP Server?
The MCP for AWS Cost Explorer and CloudWatch logs allows users to retrieve and analyze AWS spending data with fine granularity. It exposes tools to fetch daily EC2 costs, service-wide spend reports, and Bedrock model usage statistics, which can be accessed via a secure or remote server setup. Designed for AWS cost management, it facilitates cost analysis, budget tracking, and usage insights by connecting AWS APIs with an interactive LLM-powered interface, making cloud spend data accessible and easy to interpret without manual API calls.
Who will use AWS Cost Explorer MCP Server?
- AWS cloud administrators
- Cost management teams
- Cloud finance analysts
- AWS cloud developers
How to use the AWS Cost Explorer MCP Server?
- Step 1: Set up AWS credentials with Cost Explorer and CloudWatch access
- Step 2: Clone the repository and install dependencies
- Step 3: Configure the MCP server (local or remote)
- Step 4: Run the MCP server using python server.py
- Step 5: Connect your MCP client (e.g., Claude interface or Chainlit app)
- Step 6: Query your AWS cost data using natural language questions
AWS Cost Explorer MCP Server's Core Features & Benefits
The Core Features
- get_ec2_spend_last_day()
- get_detailed_breakdown_by_day(days=7)
- get_bedrock_daily_usage_stats(days=7, region, log_group_name)
- get_bedrock_hourly_usage_stats(days=7, region, log_group_name)
The Benefits
- Easy access to detailed AWS spending data
- Natural language querying capabilities
- Supports both local and remote server deployment
- Granular cost analysis by day, service, region, and instance type
AWS Cost Explorer MCP Server's Main Use Cases & Applications
- AWS cost monitoring and reporting
- Cloud spend analysis for finance teams
- Cost optimization efforts
- Integration with Lambda and EC2 for automated cost alerts
FAQs of AWS Cost Explorer MCP Server
Developer
- aws-samples
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