turbular

Overview

Turbular is a well-designed MCP server that provides seamless database connectivity for Language Models. It supports multiple database types including PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift. The server features schema normalization for better LLM compatibility, secure connections with SSL support, and query transformation capabilities. Built with FastAPI, it offers high performance and optimized query execution for AI applications.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• get_schema

  Retrieve the schema of a connected database for your LLM agent

  Try:Get the database schemaTry:Show me the table structureTry:List all columns in the database
• execute_query

  Execute SQL queries on the connected database with optimization

  Try:Run this SQL queryTry:Execute a database queryTry:Get data from the database
• upload_bigquery_key

  Upload a BigQuery service account key file

  Try:Upload BigQuery credentialsTry:Set up BigQuery accessTry:Configure BigQuery connection
• upload_sqlite_file

  Upload a SQLite database file

  Try:Upload a SQLite databaseTry:Add SQLite file to serverTry:Connect to SQLite database
• health_check

  Verify if the API is running

  Try:Check server healthTry:Is the server running?Try:Verify API status
• supported_databases

  Get a list of all supported database types

  Try:List supported databasesTry:What databases are supported?Try:Show available database types

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Installation

git clone https://github.com/raeudigerRaeffi/turbular.git
cd turbular

docker-compose -f docker-compose.dev.yml up --build

pip install -r requirements.txt
uvicorn app.main:app --reload

{
  "mcpServers": {
    "turbular": {
      "command": "uvicorn",
      "args": ["app.main:app", "--reload"],
      "env": {
        "PYTHONPATH": "."
      }
    }
  }
}

FAQ

What databases are supported by Turbular?

Turbular supports PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift databases.

How does schema normalization help with LLM compatibility?

Schema normalization automatically converts database schemas to consistent naming conventions that are easier for LLMs to understand and work with, then transforms the generated queries back to their original form for execution.

On Hacker News

Recent discussion from the developer community.

• Show HN: MCP server to connect LLM agents to any database▲ 4
  Story by raffasch123 · 2025-05-24

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