SQL-Transpiler MCP Tool

SQL-Transpiler MCP Tool

Converts SQL queries between different database dialects using the sqlglot library to ensure cross-system compatibility. It allows users to list supported dialects and transpile SQL code from one syntax to another through the Model Context Protocol.

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README

🚀 SQL-Transpiler MCP Tool

SQL-Transpiler is a MCP tool designed to transpile SQL queries between different dialects using the sqlglot library. This tool helps you convert SQL code from one dialect (e.g., MySQL) to another (e.g., PostgreSQL) with ease, ensuring compatibility across various database systems.


🛠️ Features

  • Dialect Support: Lists all SQL dialects supported by sqlglot.
  • SQL Transpilation: Converts SQL queries from one dialect to another.
  • Error Handling: Informs you if a dialect is unsupported or if there are syntax errors.

📦 Library Used

  • sqlglot
    Version: Check your pyproject.toml or uv.lock for the exact version used in this project.

⚙️ Prerequisites

  • Python 3.13+ (if running locally)
  • UV package manager (for dependency management)
  • Docker (if running via container)

🚀 Installation

Option 1: Using UV (Locally)

  1. Clone the repository

    git clone https://github.com/Baronco/SQL-Transpiler-MCP-Tool.git
    cd sql-transpiler
    
  2. Install UV

    pip install uv
    
    
  3. Sync dependencies (using uv.lock)

    uv sync --frozen
    
    
  4. Run the server

    uv run server.py
    
    

Option 2: Using Docker

  1. Clone the repository

    git clone https://github.com/your-username/sql-transpiler.git
    cd sql-transpiler
    
  2. Build the Docker image

    docker build -t sql-transpiler .
    
    

📄 Usage

  • Use the Dialects tool to list all supported SQL dialects.
  • Use the Transpiler tool to convert SQL queries from one dialect to another.

For more details, see the instructions in src/instructions.md.

🖥️ Integration with Claude Desktop

To add the SQL-Transpiler MCP tool to your Claude Desktop configuration using the Docker image, update your claude_desktop_config.json as follows:

{
  "mcpServers": {
    "sql-transpiler": 
    {
      "command": "docker",
      "args": ["run", "-i", "--rm", "--init", "-e", "DOCKER_CONTAINER=true", "sql-transpiler"]
    }
  }
}

If you want to use your local environment with UV instead of Docker, configure your claude_desktop_config.json like this (adjust the path as needed):

{
  "mcpServers": {
    "sql-transpiler": 
    {
      "command": "uv",
      "args": [
        "--directory",
        "path/to/sql-transpiler",
        "run",
        "server.py"
      ]
    }
  }
}

📝 License

MIT License

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