Database MCP Server
@MCP-Mirror
About Database MCP Server
Mirror of
Basic information
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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