"Amazon Redshift" matching MCP servers:

A high-performance Model Context Protocol (MCP) server that provides seamless integration with Amazon DataZone services. This server enables AI assistants and applications to interact with Amazon DataZone APIs through a standardized interface.

Provides a read-only MCP interface to locally synchronized Amazon seller data, enabling AI agents and analytics tools to query order, inventory, advertising, and settlement information with completeness and freshness checks for safe analysis.

MCP Server to interact with Amazon Ads

A secure, read-only MCP server for Amazon Redshift that enables AI assistants to discover, query, and export data through natural language via 10 specialized tools, with schema allowlisting and row limits for safety.

MCP server for Amazon MWAA that enables managing Airflow environments, DAGs, runs, task instances, and configurations through natural language, using secure AWS-native API access and read-only by default.

Direct access to 40+ scraping and search tools. Extract structured data from Google (Search, Maps, Trends), Amazon, Airbnb, Social Media, and any web page directly into your AI agent.

An MCP server that allows AI assistants to execute SQL queries against Amazon Athena and retrieve results in structured formats.

Provides access to Outscraper's data extraction services for business intelligence, location data, and reviews across platforms like Google Maps, Amazon, and Yelp. It enables AI assistants to perform comprehensive web scraping tasks including contact information retrieval and geolocation services.

Enables AI assistants to query unified commerce data from Amazon, Google Ads, GA4, and other selling systems using read-only SQL tools, with managed sync, freshness, and schema discovery.

Enables LLM agents to connect to and query many database types—including PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift—through a single unified API. It provides schema retrieval and optimized query execution with normalized schemas for easier natural-language-driven data access.

Unifies Amazon SP-API and Ads API into 20 MCP tools for orders, inventory, reports, feeds, and advertising, handling auth, throttling, and PII compliance automatically.

An MCP server that provides a unified interface for connecting LLM agents to many database types, including PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift. It exposes schema retrieval and query execution endpoints, normalizing schemas and optimizing LLM-generated queries for compatibility.

Enables LLM agents to connect to and retrieve data from PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift via a unified MCP API, with schema normalization, query optimization, and secure connections.

Enables LLM agents to connect to and query multiple database types through a unified API, with schema normalization, query transformation, and support for PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift.

Read-only MCP server for internal Amazon business data, exposing 19 tools to query sales, inventory, and financial metrics.

An MCP server that enables AI agents to manage multi-marketplace e-commerce operations by connecting to the SellerChamp API. It supports inventory reporting, cross-listing analysis, order management, and bulk updates across platforms like Amazon, eBay, and Shopify.

Enables LLM agents to connect to and retrieve data from various databases through a unified API, with schema normalization, query transformation, and support for multiple database types including PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift.

An MCP server that lets LLM agents connect to and query many database types—including PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift—through a single unified API. It normalizes schemas for LLM-friendly naming, optimizes generated queries, and transforms them back for execution against the original layout.