A Python-based MCP server for database actions on Amazon Redshift using the Data API
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# Redshift Utils MCP Server <div align="center"> <!-- Container for side-by-side images --> <div style="display: flex; justify-content: center; align-items: center; gap: 20px;"> <img src="docs/banner.png" width="320"> <a href="https://glama.ai/mcp/servers/@vinodismyname/redshift-utils-mcp"> <img width="400" src="https://glama.ai/mcp/servers/@vinodismyname/redshift-utils-mcp/badge" alt="redshift-utils-mcp MCP server" /> </div> <!-- Stats in a clean format --> <p> <a href="https://pypi.org/project/redshift-utils-mcp/"><img src="https://img.shields.io/pypi/v/redshift-utils-mcp.svg" alt="PyPI version"></a> <a href="https://pypi.org/project/redshift-utils-mcp/"><img src="https://img.shields.io/pypi/dm/redshift-utils-mcp.svg" alt="Downloads"></a> <a href="https://pypi.org/project/redshift-utils-mcp/"><img src="https://img.shields.io/pypi/pyversions/redshift-utils-mcp.svg" alt="Python versions"></a> <img src="https://img.shields.io/badge/License-MIT-yellow.svg" alt="License"> <img src="https://img.shields.io/badge/Language-Python-blue.svg" alt="Python"> </p> </div> ## Overview This project implements a Model Context Protocol (MCP) server designed specifically to interact with Amazon Redshift databases. It bridges the gap between Large Language Models (LLMs) or AI assistants (like those in Claude, Cursor, or custom applications) and your Redshift data warehouse, enabling secure, standardized data access and interaction. This allows users to query data, understand database structure, and monitoring/diagnostic operations using natural language or AI-driven prompts. This server is for developers, data analysts, or teams looking to integrate LLM capabilities directly with their Amazon Redshift data environment in a structured and secure manner. ## Table of Contents - [Redshift Utils MCP Server](#redshift-utils-mcp-server) - [Overview](#overview) - [Table of Contents](#table-of-contents) - [Features](#features) - …
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