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):

1. Start Postgres: docker run -d -p 5432:5432 --name postgres -e POSTGRES_PASSWORD=password postgres
2. Install Deps: pip install mcp redshift-connector pandas python-dotenv psycopg2-binary sqlalchemy
3. Seed Data: python seed_redshift.py
4. 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.