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securityF
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qualityA serverless implementation of the Model Context Protocol that provides AWS Cost Explorer tools, enabling users to query, analyze, and forecast AWS costs through natural language interactions.
Last updated -
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Why this server?
Directly addresses the need to 'analyze... cost leakage before implementing' by providing tools for querying and analyzing AWS Cost Explorer data through natural language.
Why this server?
Enables planning and implementation tasks by using Terraform for AWS infrastructure, while also supporting 'analyze misconfigurations' with security scanning integrated for pre-implementation review.
Why this server?
Excellent for 'retrieving latest official online documentations' as it fetches up-to-date, version-specific documentation directly into LLM prompts, preventing outdated information.
Why this server?
A powerful tool for 'deep thinking and plan... best approach' using structured, iterative reasoning, confidence tracking, and planning mechanisms.
Why this server?
Facilitates the 'plan and implement the best approach' criterion by guiding the process through structured stages: requirements gathering, technical design, and task planning.
Why this server?
Addresses 'keeping notes and memories' by providing persistent knowledge storage, organizational data, and semantic search capabilities for contextual retention across sessions.