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Redshift Administrative MCP Server & Web UI

@vinodismyname

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vinodismyname

关于 Redshift Administrative MCP Server & Web UI

A Python-based MCP server for administrative actions on Amazon Redshift

Redshift Administrative MCP Server & Web UI 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "redshift-admin-mcp-server": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "-e",
        "."
      ]
    }
  }
}

Redshift Administrative MCP Server & Web UI 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Redshift Administrative MCP Server & Web UI?

This project provides a Model Context Protocol (MCP) server and a Flask web UI for Amazon Redshift administration. The MCP server lets AI agents, coding assistants, and automated tools execute administrative SQL scripts and custom queries on Redshift, using credentials fetched from AWS Secrets Manager. The web UI offers a browser-based interface for connecting and running scripts. Both components are aimed at database administrators and developers who manage Redshift clusters.

How to use Redshift Administrative MCP Server & Web UI?

Install the package with uv pip install -e .. For the MCP server, run uvx redshift-admin-mcp-server with required arguments like --host, --database, --secret-arn, and --aws-region. For the Flask Web UI, set environment variables (FLASK_APP, SECRET_KEY) and run flask run. Connect the MCP server to clients such as Claude Desktop, Cline, Cursor, or a custom Python client via stdio transport.

Key features of Redshift Administrative MCP Server & Web UI

  • Connects to Redshift using AWS Secrets Manager credentials.
  • Exposes MCP tools for admin scripts and custom SQL queries.
  • Outputs results in JSON, CSV, or formatted table.
  • Provides schema discovery for MCP clients.
  • Includes a Flask web UI for browsing and executing scripts.

Use cases of Redshift Administrative MCP Server & Web UI

  • AI agents monitoring and troubleshooting Redshift lock waits or performance.
  • Developers running admin scripts (e.g., lock_wait) from an IDE or terminal.
  • Database administrators scheduling automated health checks via MCP clients.
  • Teams using a web dashboard to explore and execute maintenance queries.

常见问题

1

How does the MCP server authenticate to Redshift?

It uses AWS Secrets Manager. You must provide a Secret ARN that contains `username` and `password`, along with the Redshift host, database, and AWS region. Credentials can be supplied via command-line arguments or environment variables.

2

What are the runtime requirements?

Python 3.10 or higher and the `uv` package manager. An AWS account with permissions to connect to Redshift and access Secrets Manager is also required.

3

Where is the data stored?

All data resides in the Amazon Redshift cluster you connect to. The MCP server and web UI do not store any data locally; they only run queries and display results.

4

Can I connect interactively without startup parameters?

Yes. If required parameters (`host`, `database`, `secret_arn`) are omitted, the MCP server starts without a connection. You can then use the `connect_redshift` tool interactively via an MCP client.

5

What transport does the MCP server use?

It communicates over stdio transport, which is compatible with all major MCP clients (Claude Desktop, Cline, Cursor, etc.).

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