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Database MCP Server

@MCP-Mirror

About Database MCP Server

Mirror of

Basic information

Category

Databases

Runtime

python

Transports

stdio

Publisher

MCP-Mirror

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "georgi-terziyski_database_mcp_server": {
      "command": "python",
      "args": [
        "-m",
        "db_mcp_server"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Database MCP Server?

A Model Context Protocol (MCP) server that provides tools for connecting to and interacting with various database systems, including SQLite, PostgreSQL, MySQL/MariaDB, and SQL Server, through a unified interface.

How to use Database MCP Server?

Install from source with pip install -e ., configure via environment variables or a JSON config file, then run python -m db_mcp_server (MCP mode) or python -m db_mcp_server.web_server (standalone web server). Use the provided MCP tools for connection management, query execution, schema management, and transaction control.

Key features of Database MCP Server

  • Multi-database support: SQLite, PostgreSQL, MySQL/MariaDB, SQL Server
  • Unified interface for common database operations
  • Schema management: create, alter, drop tables and indexes
  • Query execution: raw SQL or structured query tools
  • Transaction support: begin, commit, rollback
  • Standalone web server mode for use with any LLM

Use cases of Database MCP Server

  • Allow an LLM (e.g. Claude) to query and manipulate a database via MCP
  • Provide a REST API for other LLMs (e.g. Llama 3) to perform database operations
  • Manage database schemas and run migrations through natural language prompts

FAQ from Database MCP Server

What databases does it support?

It supports SQLite (included in Python), PostgreSQL (via psycopg2-binary), MySQL/MariaDB (via mysql-connector-python), and SQL Server (via pyodbc).

How do I configure database connections?

You can set environment variables (DB_CONFIG_PATH for a JSON file or DB_CONNECTIONS for inline JSON), or provide connection details at runtime using the add_connection tool.

Can I use this server with LLMs other than Claude?

Yes. Run as a standalone web server (python -m db_mcp_server.web_server) and any LLM can call the /list_tools and /call_tool HTTP endpoints.

What are the runtime requirements?

Python 3.8 or higher, SQLAlchemy, and optional database-specific drivers. No external runtime dependencies beyond the Python ecosystem.

How do I run the server?

Use python -m db_mcp_server for MCP mode (default), or python -m db_mcp_server.web_server for web mode. You can specify a config file with --config and set logging level with --log-level.

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