Database MCP Server
by georgi-terziyski
The Database MCP Server provides tools for connecting to and interacting with various database systems using a Model Context Protocol (MCP). It offers a unified interface for database operations across multiple database types.
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What is Database MCP Server?
A Model Context Protocol (MCP) server that provides tools for connecting to and interacting with various database systems like SQLite, PostgreSQL, MySQL/MariaDB, and SQL Server. It allows users to perform database operations through a unified interface.
How to use Database MCP Server?
The server can be run as an MCP server or as a standalone web server. Configuration can be done via environment variables or a configuration file. Use the provided MCP tools via HTTP requests to manage connections, execute queries, manage schema, and handle transactions. See the README for detailed instructions and examples.
Key features of Database MCP Server
Multi-Database Support
Unified Interface
Database-Specific Extensions
Schema Management
Query Execution
Transaction Support
Use cases of Database MCP Server
Connecting LLMs to databases
Executing SQL queries
Managing database schemas
Automating database tasks
Building database-driven applications
FAQ from Database MCP Server
What databases are supported?
What databases are supported?
SQLite, PostgreSQL, MySQL/MariaDB, and SQL Server are supported.
How do I configure the server?
How do I configure the server?
You can configure the server using environment variables or a JSON configuration file.
How do I run the server as a standalone web server?
How do I run the server as a standalone web server?
Use the command: python -m db_mcp_server.web_server
How do I connect to the server from another LLM?
How do I connect to the server from another LLM?
Make HTTP requests to the /list_tools and /call_tool endpoints.
What is the purpose of the MCP server?
What is the purpose of the MCP server?
The MCP server provides a unified interface for interacting with different databases, making it easier to integrate databases with LLMs and other applications.