Metadata-Version: 2.4
Name: awslabs.cost-analysis-mcp-server
Version: 0.1.0
Summary: An AWS Labs Model Context Protocol (MCP) server for Cost Analysis of the AWS services
Project-URL: Homepage, https://awslabs.github.io/mcp/
Project-URL: Documentation, https://awslabs.github.io/mcp/servers/cost-analysis-mcp-server/
Project-URL: Source, https://github.com/awslabs/mcp.git
Project-URL: Bug Tracker, https://github.com/awslabs/mcp/issues
Project-URL: Changelog, https://github.com/awslabs/mcp/blob/main/src/cost-analysis-mcp-server/CHANGELOG.md
Author: Amazon Web Services
Author-email: AWSLabs MCP <203918161+awslabs-mcp@users.noreply.github.com>
License: Apache-2.0
License-File: LICENSE
License-File: NOTICE
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Python: >=3.10
Requires-Dist: boto3>=1.36.20
Requires-Dist: bs4>=0.0.2
Requires-Dist: mcp[cli]>=1.6.0
Requires-Dist: pydantic>=2.10.6
Description-Content-Type: text/markdown

# Cost Analysis MCP Server

MCP server for analyzing AWS service costs and generating cost reports

## Features

### Analyze and visualize AWS costs

- Get detailed breakdown of your AWS costs by service, region and tier
- Understand how costs are distributed across various services

### Query cost data with natural language

- Ask questions about your AWS costs in plain English, no complex query languages required
- Get instant answers fetched from pricing webpage and AWS Pricing API, for questions related to AWS services

### Generate cost reports and insights

- Generate comprehensive cost reports based on your IaC implementation
- Get cost optimization recommendations

## Prerequisites

1. Install `uv` from [Astral](https://docs.astral.sh/uv/getting-started/installation/) or the [GitHub README](https://github.com/astral-sh/uv#installation)
2. Install Python using `uv python install 3.10`
3. Set up AWS credentials with access to AWS services
   - You need an AWS account with appropriate permissions
   - Configure AWS credentials with `aws configure` or environment variables
   - Ensure your IAM role/user has permissions to access AWS Pricing API

## Installation

Here are some ways you can work with MCP across AWS, and we'll be adding support to more products including Amazon Q Developer CLI soon: (e.g. for Amazon Q Developer CLI MCP, `~/.aws/amazonq/mcp.json`):

```json
{
  "mcpServers": {
    "awslabs.cost-analysis-mcp-server": {
      "command": "uvx",
      "args": ["awslabs.cost-analysis-mcp-server@latest"],
      "env": {
        "FASTMCP_LOG_LEVEL": "ERROR",
        "AWS_PROFILE": "your-aws-profile"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}
```

### AWS Authentication

The MCP server uses the AWS profile specified in the `AWS_PROFILE` environment variable. If not provided, it defaults to the "default" profile in your AWS configuration file.

```json
"env": {
  "AWS_PROFILE": "your-aws-profile"
}
```

Make sure the AWS profile has permissions to access the AWS Pricing API. The MCP server creates a boto3 session using the specified profile to authenticate with AWS services. Your AWS IAM credentials remain on your local machine and are strictly used for accessing AWS services.
