
AI Agent for AWS Cost Explorer MCP
Seamlessly analyze and visualize your AWS cloud spending and Amazon Bedrock model usage with the AWS Cost Explorer MCP Server. Connect Anthropic’s Claude and LangGraph agents to your AWS Cost Explorer and CloudWatch data for robust cost analysis and actionable spend insights—all in natural language. Gain detailed breakdowns by service, region, and instance type, and automate spend reporting across multiple AWS accounts with secure, scalable MCP protocol integration.

Automated AWS Spend & Usage Insights
Empower your team to access granular AWS spend data and Bedrock model usage in real time. The MCP server connects directly to AWS Cost Explorer and CloudWatch Logs, providing Claude-powered natural language querying and detailed breakdowns by day, region, service, and instance type. Visualize, track, and optimize your cloud investments without complex dashboards.
- EC2 Spend Analysis.
- Get detailed breakdowns of your EC2 spending for the last day, helping you identify cost drivers instantly.
- Bedrock Spend Tracking.
- Monitor Amazon Bedrock usage by region, user, and model over the past 30 days for advanced cost allocation.
- Service Cost Reports.
- Analyze spending across all AWS services, with data segmented by day, region, service, and instance type.
- Natural Language Queries.
- Query your AWS spend using conversational prompts with Claude or LangGraph agents.

Easy Multi-Account Cost Management
Securely aggregate AWS spend data across multiple AWS accounts by leveraging IAM cross-account roles. The MCP server allows agents to fetch cost data from various accounts in a single interface, streamlining multi-cloud financial operations and ensuring your team gets a centralized view of cloud expenses.
- Cross-Account Data Retrieval.
- Access and consolidate spend data from multiple AWS accounts using IAM role assumption.
- Secure Remote Access.
- Deploy over HTTPS or SSE for secure, scalable access by LangGraph agents or remote clients.
- Flexible Deployment.
- Run locally, via Docker, or on Amazon EC2 for full control over your infrastructure and compliance needs.

Powerful Tooling for Cost Analysis
Leverage a suite of built-in analysis tools—get EC2 daily spend, detailed breakdowns by day, and Bedrock model usage stats. Integrate seamlessly with Chainlit, LangGraph, and Claude Desktop for conversational cost management and reporting tailored to your business needs.
- Pre-Built Cost Tools.
- Use built-in tools for EC2 spend, daily/monthly breakdowns, and Bedrock model analytics.
- Seamless Agent Integration.
- Connect with Claude Desktop, LangGraph, and Chainlit for workflow automation and reporting.
MCP INTEGRATION
Available AWS Cost Explorer MCP Integration Tools
The following tools are available as part of the AWS Cost Explorer MCP integration:
- get_ec2_spend_last_day
Retrieves EC2 spending data for the previous day.
- get_detailed_breakdown_by_day
Delivers a comprehensive analysis of costs by region, service, and instance type.
- get_bedrock_daily_usage_stats
Delivers a per-day breakdown of model usage by region and users.
- get_bedrock_hourly_usage_stats
Delivers a per-day per-hour breakdown of model usage by region and users.
Connect Your AWS Cost Explorer with FlowHunt AI
Connect your AWS Cost Explorer to a FlowHunt AI Agent. Book a personalized demo or try FlowHunt free today!
What is AWS Cost Explorer MCP Server
The AWS Cost Explorer MCP Server is a specialized middleware server designed to expose AWS Cost Explorer API functionalities through the MCP (Modular Command Platform) interface. Developed by AWS Labs, this server enables users to analyze, monitor, and visualize their AWS costs and usage data in a streamlined and accessible manner. The service allows for advanced querying, cost comparison, forecasting, and reporting, all through natural language processing—making it easier for engineering, finance, and operations teams to understand, manage, and optimize cloud expenditure. Its integration capabilities enable seamless workflows with AI-powered assistants and automation platforms, enhancing productivity and financial governance within organizations that leverage AWS infrastructure.
Capabilities
What we can do with AWS Cost Explorer MCP Server
With AWS Cost Explorer MCP Server, users can unlock a variety of powerful cost management and analysis capabilities. The platform enables detailed cost usage breakdowns, historical and forecasted reporting, and interactive querying using natural language—all accessible through AI agents or programmatically.
- Analyze AWS costs and usage
- Gain insights into your AWS spending patterns and identify major cost centers.
- Compare costs across time periods
- Easily compare your cloud expenditure between custom date ranges or billing cycles.
- Forecast future costs
- Generate predictions on your expected AWS costs to improve budgeting and planning.
- Query cost data with natural language
- Use intuitive, plain-English queries to extract detailed cost and usage information.
- Integrate with AI agents and automation
- Seamlessly connect cost data analysis into your workflows, dashboards, and automation routines.

How AI Agents Benefit from AWS Cost Explorer MCP Server
AI agents can leverage AWS Cost Explorer MCP Server to provide real-time, automated cost analysis and reporting within broader cloud management workflows. By integrating cost data accessibility with natural language understanding, AI agents can proactively alert users to anomalies, optimize resource allocation, and support decision making with actionable financial insights—all without manual intervention.