"Amazon RDS" matching MCP servers:

Enables sending documents (Markdown, PDF, EPUB) directly to a Kindle via Amazon Send-to-Kindle email, with Markdown converted to EPUB using pandoc.

An Amazon S3 Model Context Protocol server that allows Large Language Models like Claude to interact with AWS S3 storage, providing tools for listing buckets, listing objects, and retrieving object contents.

Provides custom prompts for Amazon Q by serving markdown files from the local filesystem as prompt templates through the Model Context Protocol.

Enables AI assistants to read and modify SQL Server Reporting Services (SSRS) RDL files through simple natural language commands, avoiding manual XML editing.

Enables secure file uploads to Amazon S3 with progress tracking and presigned URL generation. Provides automatic UUID-based file naming and time-limited access URLs for uploaded files.

Ultra-fast, memory-efficient Rust implementation of the Filesystem MCP server with bounded IO, regex search, and optional terminal execution.

Enables AI agents to efficiently process large local and online PDFs through selective extraction of text, images, and metadata. It provides tools for content search and document outline navigation to optimize context window usage.

Turns iPhone LiDAR scans, depth maps, room scans and reference-card photos into real-world measurements with uncertainty ranges, letting an AI client size cookware and scale recipes, check room and doorway fit, classify Amazon FBA size tiers and fees, and estimate moving or storage volume. It reports a ± and confidence level with every figure and states plainly when it is guessing.

Enables remote control of a Windows desktop via MCP, including screenshots, mouse and keyboard, window management, PowerShell, files, services, registry, scheduled tasks, event log, and network checks.

Pluggable local agent capability hub that gives web-based DeepSeek local Agent capabilities (MCP/file operations/skills/desktop automation) and lets local agents reuse the same tools.