Redshift MCP Server

Name: Redshift MCP Server
Author: Moonlight-CL

@Moonlight-CL

リポジトリ

Redshift MCP Server について

概要はまだありません

基本情報

カテゴリ

その他

ライセンス

Apache-2.0

ランタイム

python

トランスポート

stdio

公開者

Moonlight-CL

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "redshift-mcp-server-moonlight-cl": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

ツール

Executes a SQL query on the Redshift cluster

Analyzes a table to collect statistics information

Gets the execution plan with runtime statistics for a SQL query

概要

What is Redshift MCP Server?

A Python-based Model Context Protocol (MCP) server that enables AI assistants to interact with Amazon Redshift databases. It provides tools and resources for listing schemas and tables, retrieving table DDL, getting table statistics, executing SQL queries, analyzing tables, and obtaining execution plans.

How to use Redshift MCP Server?

Install Python 3.13 or higher and have a running Redshift cluster with credentials. Clone the repository, install dependencies with uv sync, and set environment variables (RS_HOST, RS_PORT, RS_USER, RS_PASSWORD, RS_DATABASE, and optionally RS_SCHEMA). Start the server with uv run --with mcp python-dotenv redshift-connector mcp and mcp run src/redshift_mcp_server/server.py. Integrate with an MCP-compatible AI assistant by adding the provided JSON configuration to your MCP settings file.

Key features of Redshift MCP Server

Lists all schemas and tables in the database
Retrieves DDL scripts for any table
Provides table statistics (row count, size, etc.)
Executes arbitrary SQL queries on the cluster
Analyzes tables to collect fresh statistics
Returns execution plans with runtime statistics

Use cases of Redshift MCP Server

Exploring database schemas and table structures via an AI assistant
Inspecting table definitions and DDL for migration or documentation
Running ad‑hoc SQL queries without connecting directly to Redshift
Collecting table statistics to optimize query performance
Debugging slow queries by reviewing execution plans

FAQ from Redshift MCP Server

What are the runtime requirements?

Python 3.13 or higher is required. The server also needs network access to an Amazon Redshift cluster and valid database credentials.

How do I connect to my Redshift cluster?

Set the environment variables RS_HOST, RS_PORT, RS_USER, RS_PASSWORD, RS_DATABASE, and optionally RS_SCHEMA. These can be set directly or in a .env file.

What dependencies does the server use?

It depends on the MCP CLI package (mcp[cli]>=1.5.0), python-dotenv>=1.1.0 for environment variable loading, and redshift-connector>=2.1.5 for Redshift connectivity.

What data does the server access?

All data lives in the connected Amazon Redshift database. The server does not store any data locally; it only queries and returns results from the cluster.

What authentication method does it use?

Authentication is handled via username and password passed as environment variables (RS_USER and RS_PASSWORD). No other authentication mechanisms are documented.