"Amazon RDS" matching MCP servers:

Enables intelligent navigation and extraction of documentation from websites, allowing Amazon Q to automatically discover relevant pages, extract clean content, and retrieve code examples from web documentation.

Enables agents to retrieve indexed Amazon Ads, Seller Central, and Vendor Central knowledge by browsing tags, searching tools, inspecting schemas, and executing chained calls.

Provides AI-enabled access to Amazon Business API documentation, sample code, and troubleshooting resources. Enables developers to search and retrieve API documentation, generate integration code, and get guided solutions for common errors during the API integration process.

Provides real-time access to AWS security best practices, incident response playbooks, and preventive security measures from the official AWS Customer Playbook Framework repository. Enables users to query AWS security guidance for services like S3, IAM, EC2, and RDS through natural language.

A Model Context Protocol server that provides tools for accessing and managing AWS VPC Lattice information, allowing users to list sources and retrieve sample prompts related to AWS networking documentation.

Enables searching and retrieving documentation for the Rust windows crate API through an MCP server.

Enables conversational, source-linked device guidance by starting and resuming manufacturer-reviewed procedures, asking users for observations, and recovering from interruptions without blindly replaying actions.

Enables LLMs and AI agents to query Google Ads accounts, inspect resource metadata, list accessible customers, and retrieve reporting metrics, segments, discovery documents, and release notes via the Google Ads API.

Scrapes and indexes Strands Agents documentation into Elasticsearch, providing a searchable MCP server for Amazon Q and other AI assistants.

Enables searching an offline catalog of Apple Ads Platform API documentation and issuing authenticated read and write calls to manage App Store and Apple Maps campaigns, reports, keywords, budgets, and recommendations. Read and write are split into separate tools, with read-only mode, pagination merging, and large-report file output.

A dataless MCP server that searches the SAP CDS knowledge base, allowing users to query view metadata and retrieve full view details using local or remote data sources.

Enables automated project analysis and structured development specification generation. Supports multiple export formats and integrates with AI models for comprehensive project documentation and validation.

Local multi-version RAG MCP server for Keysight ADS help documentation, enabling search, AEL function lookup, and version comparison via natural language.

It converts documents to Markdown or docling JSON for AI agents. That covers PDFs with layout analysis, table structure and OCR, plus DOCX, PPTX, XLSX, HTML, EPUB, e-mail, images and audio. It serves MarkItDown's "convert_to_markdown" tool under the same name and contract, along with "convert" and "list_input_formats".

Enables AI agents to access and utilize GovBR Design System documentation, including component details, accessibility guidance, and search functionality via Model Context Protocol.

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.

Read-only MCP server that exposes a design system's tokens, components, conventions, and deprecations as queryable tools, enabling agents to look up canonical values, assess change impact, and detect hardcoded value drift.

Exposes Levit design system (GDS) metadata to AI coding tools, enabling queries about color tokens and component usage via natural language.

It lets AI coding agents look up design tokens, component specifications, and prohibition rules on demand, then validate generated HTML or JSX with the same lint logic used by CI and editor hooks so violations are caught and corrected immediately. It also exposes the design constitution and rule sets as resources for reference during generation.

An MCP server that enables searching for Rust crates and their documentation from docs.rs, allowing AI agents to find required crates and access the latest documentation.