A read-only MCP server for Amazon Redshift that leverages column comments for guided data discovery, with slash commands for profiling, exploration, and lineage.
Enables AI agents to interact with Amazon Redshift databases using natural language to execute queries, list tables, describe schemas, and retrieve sample data.
A Model Context Protocol server that enables AI assistants to interact with Amazon Redshift databases, allowing for schema exploration, query execution, and statistics collection.
Enables secure, read-only access to Amazon Redshift data warehouses for AI assistants, allowing schema inspection, query execution, and data understanding.
MCP server that integrates Microsoft Copilot with Amazon Redshift, enabling catalog search, query template retrieval, and query execution with end-to-end user identity propagation.
Enables LLMs and AI agents to securely query and interact with Amazon Redshift databases with configurable access modes (readonly, readwrite, admin) for safe data exploration and management.
A production-ready server that connects LLMs and AI agents (Claude, ChatGPT) to Amazon Redshift databases with configurable access controls and zero code changes.
placement for the depractaed Amazon Product Advertising endpoint. You ask Claude to find something, it searches the live Amazon catalogue, and it hands you back a finished HTML card - image, price, savings, star rating, your Associates tag already baked into the link, and the disclosure footer Amazon requires, by Houtini
Enables AI assistants to recommend Amazon products with automatic affiliate link insertion, supporting product search, deals, bestsellers, and promotional content.
A production-grade MCP server for the Amazon Selling Partner API that provides a complete registry of 353 operations across 49 API domains, enabling discovery, description, and invocation of SP-API operations with version awareness and safety controls.
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.
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.
Enables management of Amazon Bedrock Knowledge Bases including creation, data source configuration, document ingestion, and RAG (Retrieval-Augmented Generation) queries with support for multiple embedding models and custom parsing/chunking strategies.
Agent-native Amazon review intelligence — fetches verified reviews from 10 marketplaces via real Shulex OpenAPI (not scrapers) and produces copy-ready listing improvements grounded in actual customer language. Backed by a 2B-review historical dataset that Helium 10 / Jungle Scout can't replicate. Works in any MCP client (Claude Code, Claude Desktop, ChatGPT, Cursor, Windsurf, VS Code, Cline).