MCP Servers

Redshift MCP Server

Enables AI agents to interact with Amazon Redshift databases using natural language to execute queries, list tables, describe schemas, and retrieve sample data.

README

Redshift MCP Server

A Model Context Protocol (MCP) server that enables AI agents to interact with Amazon Redshift using natural language.

Features

SQL Tools: Execute queries, list tables, describe schemas, get sample data.
Resources: Connection status, table list.
Sample Data: Pre-configured users, products, and orders tables.
Architecture: See DESIGN.md for system diagrams.

🚀 Quick Start

For detailed instructions on Windows, macOS, and Linux, please refer to the SETUP.md guide.

Basic Steps (Local Testing):

Start Postgres: docker run -d -p 5432:5432 --name postgres -e POSTGRES_PASSWORD=password postgres
Install Deps: pip install mcp redshift-connector pandas python-dotenv psycopg2-binary sqlalchemy
Seed Data: python seed_redshift.py
Test: python test_redshift_local.py

🔧 MCP Client Configuration

Add this to your MCP client configuration (e.g., Antigravity, Claude Code, or VS Code).

"redshift-mcp": {
  "command": "py",
  "args": ["redshift_mcp_server.py"],
  "cwd": "c:/Users/deepa/OneDrive/Desktop/workspace/redis connection",
  "env": {
    "REDSHIFT_HOST": "localhost",
    "REDSHIFT_PORT": "5432",
    "REDSHIFT_DATABASE": "postgres",
    "REDSHIFT_USER": "postgres",
    "REDSHIFT_PASSWORD": "password"
  }
}

☁️ AWS Deployment

See AWS_DEPLOYMENT.md for deployment options.

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