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    Dbutils

    An all-in-one MCP service that allows AI-powered data analysis by connecting to multiple types of databases (sqlite, mysql, postgres, etc.) within a single, unified configuration, making it a comprehensive MCP server solution.

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    About this tool

    Dbutils

    Source Code

    Description

    Dbutils is an all-in-one MCP (Model Context Protocol) service that enables AI-powered data analysis by securely connecting to multiple types of databases (such as SQLite, MySQL, PostgreSQL, and more) through a unified configuration. It acts as a secure bridge between AI systems and databases, allowing safe, read-only data analysis without exposing or modifying the underlying data.

    Features

    • Multi-Database Support: Connects to SQLite, MySQL, PostgreSQL, and potentially more through a single unified configuration.
    • MCP Protocol Compatible: Works with any AI system or client supporting the MCP protocol, including Claude Desktop, Cursor, and others.
    • Strict Read-Only Operations: Only allows SELECT queries; no data modification is possible.
    • Secure Architecture:
      • No direct database access for AI; all access is brokered through Dbutils.
      • Each connection is isolated and managed separately.
      • Connections are established only as needed and closed immediately after use.
      • Automatic timeouts for long-running operations.
      • All data processing happens locally; no data is sent to external servers.
      • Minimum data exposure; only requested data is returned.
      • Connection credentials are never exposed to AI models.
      • Sensitive data (like passwords) are masked in logs.
      • Supports SSL/TLS for encrypted remote database connections.
      • Configuration via YAML files for security and clarity.
      • User-controlled database access.
      • Secure defaults with no extra configuration needed.
    • AI Tooling:
      • List database tables.
      • View table schemas.
      • Run SELECT queries.
      • Analyze table statistics.
      • List table constraints.
      • Explain query execution plans.
      • Retrieve database performance metrics.
      • Analyze queries for optimization.
    • Simple Configuration: All database connections are managed via a single YAML file.
    • Multiple Installation Methods:
      • Via uvx (Python environment).
      • Via Docker container.
      • Via Smithery (for Claude integration).
    • Local Processing: All operations are performed on the user's machine.
    • Open Source: Licensed under the MIT License.

    System Requirements

    • Python 3.10+
    • Or Docker Desktop
    • Or Node.js 14+ (for Smithery)
    • Supported databases: SQLite 3.x, PostgreSQL 12+, MySQL 8+
    • Supported AI clients: Any MCP-compatible client (Claude Desktop, Cursor, etc.)

    Pricing

    Dbutils is open-source software released under the MIT License. There are no paid plans or commercial pricing.

    Tags

    mcp database data-analysis multi-database

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    Information

    Websitegithub.com
    PublishedMay 14, 2025

    Categories

    1 Item
    Database & Messaging Mcp Servers

    Tags

    4 Items
    #mcp
    #database
    #data-analysis
    #multi-database

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