sripaladugu
MCP Serversripaladugupublic

mcp client server

FastMCP implementation of client and server to interact with Caris Database on AWS Redshift

Repository Info

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Python
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-
License

About This Server

FastMCP implementation of client and server to interact with Caris Database on AWS Redshift

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

TL;DR Run the following command:

bash docker-build.sh

The above command builds a Docker image, now you can start the MCP server with the following settings in Cursor (please don't forget to update the database connection string with your own values i.e, username, password, hostname, port, database):

{
  "mcpServers": {
    "redshift-mcp-docker": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DEFAULT_SCHEMA=flatiron_cmdb_nsclc_sdm_latest",
        "redshift-mcp-py-simple",
        "postgresql://username:password@redshift-url:5439/database?sslmode=require"
      ],
      "description": "Redshift MCP Server in Docker",
      "env": {}
    }
  }
}

Redshift MCP Server (Python)

A Model Context Protocol (MCP) server for querying Redshift databases, implemented in Python using FastMCP.

Features

  • Query Redshift databases through an MCP server
  • List tables in the database
  • View table schemas
  • Execute read-only SQL queries
  • Works with Cursor and Claude Desktop

Installation

Prerequisites

  • Python 3.10+
  • Redshift database connection details
  • pip 21.3+ (for pyproject.toml support)

Setup

  1. Clone this repository:
git clone https://github.com/yourusername/redshift-mcp-py.git
cd redshift-mcp-py
  1. Create a virtual environment and install the package:
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Make sure pip is up to date
pip install --upgrade pip

# Install the package
pip install -e .

If you encounter build errors, you may need to install the build tool first:

pip install hatchling
pip install -e .

Usage

Running the server using the CLI

After installation, you can use the provided command-line interface:

redshift-mcp-server "postgresql://username:password@hostname:port/database?sslmode=require"

Running the server directly

python redshift_mcp_server.py "postgresql://username:password@hostname:port/database?sslmode=require"

Using with Docker

  1. Build the Docker image:
docker build -t redshift-mcp-py .
  1. Run the container:
docker run -i --rm redshift-mcp-py "postgresql://username:password@hostname:port/database?sslmode=require"

Setting up in Cursor

This project includes Cursor-specific settings in the .cursor directory:

  1. Open the project in Cursor.
  2. Edit .cursor/mcp.json to update your database connection string.
  3. Press Alt+M or click the MCP button in the sidebar.
  4. Select "redshift-mcp-py" from the list of available servers.

Alternatively, you can add the following to your global ~/.cursor/mcp.json file:

{
  "mcpServers": {
    "redshift-mcp-py": {
      "command": "python",
      "args": [
        "/path/to/redshift_mcp_server.py",
        "postgresql://username:password@hostname:port/database?sslmode=require"
      ],
      "description": "Redshift MCP Server in Python"
    }
  }
}

Setting up in Claude Desktop

Add the following to Claude Desktop's configuration file:

{
  "servers": [
    {
      "name": "Redshift MCP Server",
      "command": "python",
      "args": [
        "/path/to/redshift_mcp_server.py",
        "postgresql://username:password@hostname:port/database?sslmode=require"
      ],
      "description": "Redshift MCP Server in Python"
    }
  ]
}

Project Structure

redshift_py/
├── .cursor/                    # Cursor-specific settings
│   ├── mcp.json                # MCP server configuration for Cursor
│   └── settings.json           # Editor settings for Python development
├── src/
│   └── redshift_mcp/
│       ├── __init__.py
│       ├── __main__.py
│       └── server.py
├── redshift_mcp_server.py
├── test_client.py
├── pyproject.toml
├── README.md
├── LICENSE
└── Dockerfile

Available MCP Features

Resources

  • redshift://tables - Lists all tables in the database
  • redshift://{hostname}/{table_name}/schema - Returns schema information for a specific table

Tools

  • query(sql: string) - Executes a read-only SQL query against the Redshift database

Testing

Use the included test client to verify functionality:

# Test using subprocess
python test_client.py "postgresql://username:password@hostname:port/database?sslmode=require"

# Test with direct connection
TEST_MODE=direct python test_client.py "postgresql://username:password@hostname:port/database?sslmode=require"

Security Notes

  • The server only allows read-only transactions
  • All queries are executed inside a transaction that is rolled back
  • Database passwords are never exposed in resource URIs

License

Apache-2.0

mcp-client-server

Quick Start

1

Clone the repository

git clone https://github.com/sripaladugu/mcp-client-server
2

Install dependencies

cd mcp-client-server
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownersripaladugu
Repomcp-client-server
LanguagePython
License-
Last fetched8/10/2025

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