Database MCP Server

@MCP-Mirror

About Database MCP Server

Mirror of

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.

Frequently asked questions

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`.

Comments

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