aws-cost-mcp
Provides tools for querying AWS Cost and Usage Report data through Amazon Athena, enabling efficient cost analysis and historical data exploration.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@aws-cost-mcpShow me my top cost services for March 2025"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
AWS Cost MCP Server
An MCP server focused on querying AWS Cost and Usage Report (CUR) data through Amazon Athena. This server provides tools to analyze AWS cost data efficiently through the Model Context Protocol.
Features
Query AWS Cost and Usage Report data through Athena
More cost-effective than Cost Explorer API (pay only for the queries you run)
Access to detailed, raw cost data with granular resource-level insights
Access to historical data to do in-depth cost trend analysis
No API rate limits or throttling constraints
Execute and manage Athena queries
Prerequisites
Python 3.10+
AWS credentials configured with access to Athena and CUR
AWS Cost and Usage Reports set up with Athena integration
Installation
Clone the repository:
git clone https://github.com/CRED-CLUB/aws-cost-mcp.git cd aws-cost-mcpRun the setup script:
chmod +x setup.sh ./setup.shThe setup script will:
Create a Python virtual environment
Install required dependencies
Create a
.envfile from.env.example
Configure your environment:
Edit the
.envfile with your settings:# MCP Server Configuration MCP_SERVER_HOST=localhost MCP_SERVER_PORT=5004 MCP_LOG_LEVEL=INFO # AWS Configuration AWS_REGION=us-east-1 AWS_ACCESS_KEY_ID=your_access_key AWS_SECRET_ACCESS_KEY=your_secret_key # Athena Configuration (Optional - used as defaults if not provided in queries) ATHENA_OUTPUT_LOCATION=s3://your-bucket/athena-results/ ATHENA_DATABASE=your_cur_database ATHENA_TABLE=your_cur_table ATHENA_WORKGROUP=primary ATHENA_CATALOG=your_cur_catalog(AwsDataCatalog)
Connecting to Cline
To connect this MCP server to Cline, you need to update the cline_mcp_settings.json file.
Add a configuration like the following to the mcpServers section:
{
"mcpServers": {
"aws": {
"command": "absolute_path..../aws-cost-mcp/venv/bin/python",
"args": [
"absolute_path..../aws-cost-mcp/src/server.py"
],
"env": {},
"disabled": false,
"autoApprove": [],
"workingDirectory": "absolute_path..../aws-cost-mcp"
}
}
}You can configure CLINE with the Custom Instructions available in cline_custom_instructions.txt to receive a detailed cost analysis.
Example query:
Using only the configured aws-cost-mcp server's resources and tools, analyze the ec2 cost trend across jan and feb 2025.Cline response:
Usage
Running the MCP Server
For Development and Testing
Use the MCP CLI's development mode, which provides interactive testing capabilities:
mcp dev src/server.pyFor Production
Use the MCP CLI's run command:
mcp run src/server.pyBy default, the server will use the configuration in the .env file:
MCP_SERVER_HOST=127.0.0.1
MCP_SERVER_PORT=8080
MCP_LOG_LEVEL=INFODocumentation
The project documentation is organized in the cline_docs directory:
projectRoadmap.md: Project goals, features, and progress trackingcurrentTask.md: Current objectives and next stepstechStack.md: Technology choices and architecture decisionscodebaseSummary.md: Project structure and component overview
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the terms of the LICENSE file.
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