AWS Price List Upgraded to Natural Language, AWS Pricing MCP Server Released: Essential Guide to Retrieving Complex Pricing Information with AI Assistants.

AWS has upgraded its price list to natural language and released the AWS Pricing MCP server as an open-source tool. The tool allows users to inquire about prices in natural language, such as "What is the cost of running three m5.large instances in us-west-2?" AWS has also released a new open-source Python project called Export for vCenter for AWS Transform. The project enables users to export inventory data from vCenter for use with AWS Transform. Additionally, AWS has introduced the AWS Serverless MCP Server, which provides context guidance for serverless development and supports developers in making decisions based on architecture, implementation, and deployment information.

Amazon Web Services (AWS) has recently announced several new open-source tools aimed at enhancing various aspects of cloud management and development. These tools include the AWS Pricing MCP Server, Export for vCenter, and the AWS Serverless MCP Server. Each of these tools addresses specific operational challenges and provides innovative solutions for users.

AWS Pricing MCP Server

The AWS Pricing MCP Server is an open-source tool that allows users to query AWS pricing information in natural language. This tool enables users to ask questions such as "What is the cost of running three m5.large instances in us-west-2?" in a conversational manner. By leveraging natural language processing, the Pricing MCP Server simplifies the process of obtaining cost data, making it easier for users to understand and manage their cloud expenditures [1].

Export for vCenter

AWS has also released Export for vCenter, an open-source Python project designed to facilitate the export of inventory data from vCenter for use with AWS Transform. This tool addresses several pain points associated with traditional data export methods, such as the need to install Windows executables or the requirement for manual correlation of metrics. Export for vCenter automates the process, providing a more efficient and user-friendly solution for exporting vCenter data [2].

AWS Serverless MCP Server

The AWS Serverless MCP Server provides context guidance for serverless development, supporting developers in making informed decisions based on architecture, implementation, and deployment information. By offering a standardized interface for AI agents to access serverless-specific data, this tool enhances the development process by providing insights and recommendations tailored to serverless applications. The Serverless MCP Server is designed to integrate seamlessly with existing serverless infrastructure, making it a valuable resource for developers [3].

Conclusion

These new open-source tools from AWS demonstrate the company's commitment to enhancing the user experience and operational efficiency of cloud services. The AWS Pricing MCP Server, Export for vCenter, and AWS Serverless MCP Server each address specific challenges in cost analysis, data export, and serverless development, respectively. By providing innovative solutions that leverage natural language processing and AI, these tools offer significant benefits to users across various industries.

References

[1] https://www.reddit.com/r/aws/comments/1m8dqx1/show_raws_hosted_mcp_server_for_aws_cost_analysis/
[2] https://aws.amazon.com/jp/blogs/news/using-export-for-vcenter-with-aws-transform/
[3] https://aws.amazon.com/blogs/big-data/introducing-mcp-server-for-apache-spark-history-server-for-ai-powered-debugging-and-optimization/