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Cloud InfrastructureAuto-generatedScore: 40

AWS Price List Service MCP Server

The AWS Price List Service is a comprehensive, programmatic interface provided by Amazon Web Services that enables developers, architects, and financial analysts to access and query the vast repository of AWS service pricing and product information.

Quick Start Summary

The AWS Price List Service MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the AWS Price List Service API through natural language. It exposes 5 API endpoints as callable tools, such as DescribeServices, GetAttributeValues, GetPriceListFileUrl, and more. No authentication is required — setup takes approximately 30 seconds. The server uses STDIO transport and can be installed by running npx -y @mcp/amazonaws-com-pricing. This integration is sourced from the auto AWS Price List Service OpenAPI specification (v2017-10-15) and has a quality score of 40/99 (fair documentation coverage).

5Endpointstools mapped
NoneAuthopen access
40/99Qualityfair
~30 secSetupno auth

Server Details

Category
Cloud Infrastructure
Authentication
None
Endpoints
5 operations
Transport
STDIO
Spec Version
v2017-10-15
Install Command
npx -y @mcp/amazonaws-com-pricing

Environment Variables

AWS_PRICE_LIST_SERVICE_API_KEY

Example: your_aws_price_list_service_api_key

Top Endpoints

POST
/#X-Amz-Target=AWSPriceListService.DescribeServices

DescribeServices

POST
/#X-Amz-Target=AWSPriceListService.GetAttributeValues

GetAttributeValues

POST
/#X-Amz-Target=AWSPriceListService.GetPriceListFileUrl

GetPriceListFileUrl

POST
/#X-Amz-Target=AWSPriceListService.GetProducts

GetProducts

POST
/#X-Amz-Target=AWSPriceListService.ListPriceLists

ListPriceLists

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📖 Detailed MCP Integration Guide

A technical breakdown of capabilities, agent workflows, and security/configuration best practices.

Capabilities & Use Cases
The AWS Price List Service is a comprehensive, programmatic interface provided by Amazon Web Services that enables developers, architects, and financial analysts to access and query the vast repository of AWS service pricing and product information. Its core capability lies in delivering up-to-date, standardized data for virtually every AWS service, including EC2, S3, RDS, and Lambda, along with their various configurations, regional availability, and tiered pricing models. This API eliminates the need for manual, error-prone scraping of web pages or parsing of complex billing documents. Enterprise use cases are extensive, ranging from automated cloud cost estimation during the architecture phase of new projects, to integrating live pricing feeds into internal financial systems for real-time budget tracking and forecasting. It also serves as the foundational data source for building sophisticated cost optimization tools, allowing organizations to dynamically compare instance types, storage classes, and regional price differentials to make informed, data-driven decisions that align with their performance and budgetary constraints.
🤖AI Agent Value
When exposed as a tool via the Model Context Protocol (MCP) to an AI coding assistant, this API transforms from a static data source into a dynamic, intelligent resource. The AI agent gains the ability to perform live, contextual cost analysis directly within the developer's workflow. Instead of a developer having to leave their IDE to look up current pricing, they can instruct the AI assistant to fetch real-time data. This integration allows the AI to factor in actual, current costs when suggesting infrastructure code, writing deployment scripts, or even refactoring applications for cost efficiency. The value is profound: it bridges the gap between code generation and financial accountability, enabling an AI to act not just as a coder, but as a FinOps-aware advisor, proactively highlighting cost implications of design choices and empowering developers to build with continuous cost awareness.
💬Example Workflows
Practical workflows enabled by this MCP server are powerful and diverse. A developer could instruct an AI agent, "Analyze my Terraform configuration for an ECS cluster and query the Price List API to estimate the monthly cost for the specified Fargate task configurations in the us-east-1 region." The AI would then structure the correct API calls using GetProducts with the appropriate filters, return the price data, and incorporate it into its analysis or report. Another dynamic task could be: "Compare the per-GB cost of S3 Standard vs. S3 Glacier Instant Retrieval for my data archive project in EU-Frankfurt and generate a cost-saving summary." The AI agent would use GetAttributeValues to discover relevant storage class attributes and GetProducts to pull the pricing, then synthesize the findings. It could also automate the creation of a custom pricing sheet by using ListPriceLists and GetPriceListFileUrl to fetch a bulk pricing file for a specific service in a specific region.
🛡️Security & Auth
Critical to the secure and effective deployment of this service is the understanding of its authentication framework. While the provided endpoint schema lists "None" for authentication, in practice, all calls to the AWS Price List API must be authenticated using standard AWS Signature Version 4 signing processes. This requires the AI assistant's MCP server configuration to be supplied with valid AWS credentials, typically an access key ID and a secret access key, preferably via environment variables. Adherence to the principle of least privilege is paramount; the IAM user or role credentials used should only have the pricing:GetProducts, pricing:GetAttributeValues, and pricing:ListPriceLists permissions for the specific regions and services required. Developers must avoid embedding long-lived credentials in code or configuration files and should instead leverage AWS roles for temporary credentials or encrypted secrets management to ensure the security and integrity of both their queries and their cloud environment.

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