Database MCP Server

@georgi-terziyski

Repository

Basic information

About Database MCP Server

No overview available yet

#database #mcp #server

Database MCP Server config

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

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

Database MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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?

Database MCP Server is a Model Context Protocol (MCP) server that provides a unified interface for connecting to and interacting with multiple database systems: SQLite, PostgreSQL, MySQL/MariaDB, and SQL Server. It is designed for LLMs like Claude to execute queries, manage schemas, and handle transactions programmatically.

How to use Database MCP Server?

Install from source with pip install -e ., configure via environment variables (DB_CONFIG_PATH, DB_CONNECTIONS) or a JSON config file, then run as an MCP server with python -m db_mcp_server or as a standalone web server with python -m db_mcp_server.web_server. Use built-in MCP tools like execute_query, list_tables, or add_connection. For other LLMs, send HTTP POST requests to the /call_tool endpoint.

Key features of Database MCP Server

Multi-database support (SQLite, PostgreSQL, MySQL/MariaDB, SQL Server)
Unified interface for database operations across all types
Schema management (create, alter, drop tables and indexes)
Query execution (raw SQL or structured tools)
Transaction support (begin, commit, rollback)
Connection management (add, test, list, remove connections)

Use cases of Database MCP Server

Allow Claude or other LLMs to query and update a database using natural language
Manage database schemas programmatically through an LLM agent
Execute parameterized SQL queries via MCP tools
Integrate database operations into automated cross-database workflows

Frequently asked questions

What databases does Database MCP Server support?

It supports SQLite, PostgreSQL, MySQL/MariaDB, and SQL Server.

How does Database MCP Server connect to a database?

Connections are configured via environment variables (`DB_CONFIG_PATH`, `DB_CONNECTIONS`) or a JSON configuration file specifying type, host, port, credentials, and database path.

What are the runtime requirements for Database MCP Server?

Python 3.8+ and SQLAlchemy are required, along with optional database‑specific drivers like `psycopg2-binary` (PostgreSQL) or `mysql-connector-python` (MySQL).

What transport protocols does Database MCP Server support?

It supports the standard MCP protocol (stdio) and can also run as a standalone HTTP web server exposing `/list_tools` and `/call_tool` endpoints.

Where does the data managed by Database MCP Server live?

Data resides in the connected external databases; the server itself does not store any data.

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