{"categories":[{"label":"Documentation","url":"https://skillfed.io/packages/category/documentation"}],"enrichment":{"capability":"Provides an MCP server that exposes AWS documentation as searchable tools for AI assistants and code editors, enabling retrieval, search, and recommendations across AWS service guides.","skillfed_tags":["mcp-server","aws-integration","ai-assistant"],"use_cases":["Ask an AI assistant to look up AWS S3 bucket naming rules or service quotas without leaving your editor.","Search AWS documentation for a specific feature or service within an IDE conversation without context switching.","Retrieve and filter large AWS pricing or service-quota tables by specific criteria without loading the full page.","Get content recommendations for an AWS documentation page to discover related guides and best practices.","Query AWS China documentation partition when working with AWS GovCloud or China region deployments."],"what_it_does":"This package is an MCP (Model Context Protocol) server that bridges AWS documentation and AI assistants. It runs as a subprocess in compatible editors and IDEs (Cursor, VS Code, Kiro) and exposes AWS documentation as a set of tools: read full pages as markdown, search documentation using AWS's official search API, fetch specific sections, filter large tables without loading entire pages, and get content recommendations. It supports both global AWS and AWS China documentation partitions via environment configuration.\n\nThe server is built on standard web-fetching libraries (httpx, beautifulsoup4, markdownify) to scrape and convert AWS documentation to markdown, and uses pydantic for structured responses. It's designed for developers who want their AI coding assistant to have real-time access to AWS documentation without manual lookups. Installation is straightforward via pip or uv, and configuration is a JSON block in your client's MCP settings.","worth_installing":"Yes, if you use an MCP-compatible editor (Cursor, VS Code, Kiro) and want your AI assistant to access live AWS documentation. Installation is low-friction, the package is actively maintained, and the Apache-2.0 license poses no restrictions. The only gotcha is that it requires Python 3.10+ and runs as a server subprocess, not a library you import directly\u2014so it's only useful within an MCP client, not in standalone scripts."},"id":"awslabs-aws-documentation-mcp-server","links":{"html":"https://skillfed.io/packages/awslabs-aws-documentation-mcp-server","md":"https://skillfed.io/packages/awslabs-aws-documentation-mcp-server.md","pypi":"https://pypi.org/project/awslabs-aws-documentation-mcp-server/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-10","license_spdx":null,"license_treatment":"permissive","name":"awslabs.aws-documentation-mcp-server","python_support":"supports_current","summary":"An AWS Labs Model Context Protocol (MCP) server for AWS Documentation"},"popularity":{"monthly_downloads":935888,"position":4693,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.1.30"}