alexei-led/aws-mcp-server

v1.7.0 Breaking

This release includes breaking changes for platform teams planning a safe upgrade.

Published 3mo MCP SaaS Integrations

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Topics

ai-assistant aws aws-automation claude cloud-infrastructure devops

+4 more

docker mcp mcp-server modelcontextprotocol

Summary

AI summary

LLM-friendly documentation and codebase cleanup.

Full changelog

What's New

LLM-Friendly Documentation (#38)

Added llms.txt following the llms.txt spec — a structured, concise project overview designed for consumption by AI assistants at inference time:

Tools, resources, and key environment variables
Architecture overview and source layout map
Links to all relevant docs

Improved AI Agent Development Guide (#39)

Rewrote CLAUDE.md to be project-specific and actionable:

Architecture walkthroughs for each module (server, sandbox, cli_executor, resources, prompts)
Testing patterns: mocking strategy, sandbox test split, coverage targets
MCP development guidelines: ToolAnnotations, ToolError/SEP-1303, FastMCP patterns
Security notes on credential handling and sandbox policy

Codebase Cleanup

Removed completed Ralphex progress logs (progress-mcp-spec-updates.txt)
Removed completed plan file (docs/plans/mcp-spec-updates.md)

Previous Release Highlights (v1.6.0)

MCP spec 2025-11-25 compliance: input validation errors as isError: true (SEP-1303), server description, server icon, streamable-http transport, graceful stdio disconnect handling.

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About alexei-led/aws-mcp-server

A lightweight service that enables AI assistants to execute AWS CLI commands (in safe containerized environment) through the Model Context Protocol (MCP). Bridges Claude, Cursor, and other MCP-aware AI tools with AWS CLI for enhanced cloud infrastructure management.

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