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aws-pricing-mcp

by trilogy-group
GitHub
Python
MIT License
14
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AWS Pricing MCP

A Model Context Protocol (MCP) server that provides AWS EC2 instance pricing data. This project includes both a traditional server implementation and a serverless Lambda function.

Quick Start

The Lambda function provides the same functionality as the server but with serverless benefits:

# Build and deploy sam build sam deploy --guided # Get the Function URL aws cloudformation describe-stacks \ --stack-name aws-pricing-mcp \ --query 'Stacks[0].Outputs[?OutputKey==`FunctionUrl`].OutputValue' \ --output text

For detailed Lambda documentation, see LAMBDA.md.

Server Deployment

# Install dependencies pip install -r requirements.txt # Run the server python src/server.py

Features

  • EC2 Pricing Data: Find the cheapest EC2 instances based on specifications
  • Multiple Pricing Models: On Demand, Reserved Instances, CloudFix RightSpend
  • Flexible Filtering: Region, platform, tenancy, vCPU, RAM, GPU, etc.
  • JSON-RPC 2.0: Full MCP protocol compliance
  • Serverless Option: Lambda function with Function URL
  • Dynamic Data: Always up-to-date pricing from S3

Documentation

License

LICENSE

This server cannot be installed

-
security - not tested
A
license - permissive license
-
quality - not tested

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

The AWS EC2 Pricing MCP Server lets any LLM or automation script query real-time EC2 pricing with one call. Powered by a pre-parsed AWS pricing catalogue, it answers questions such as

What is the cheapest EC2 instance with 32GB RAM?

Which AMD instances have more than 3.5 Ghz CPUs?

What is the 3-yr All Upfront discount on r6g family in eu-west-1?

What is the cheapest instance to run Windows with SQL Server Enterprise?

  1. Using Docker
    1. Using a Docker hub image
    2. Using a local image
  2. Using Python directly
    1. Building Instructions
      1. Pricing Data JSON Format

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