Database MCP Server
by Legion AI
A server that helps people access and query data in databases using the Legion Query Runner with integration of the Model Context Protocol (MCP) Python SDK. It exposes database operations as MCP resources, tools, and prompts for AI assistants.
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What is Database MCP Server?
The Database MCP Server is a tool that allows users to access and query data in various databases using the Legion Query Runner and the Model Context Protocol (MCP). It provides a way to expose database operations as resources, tools, and prompts for AI assistants, enabling stateful interactions with databases.
How to use Database MCP Server?
The server can be installed using UV or PIP. Configuration requires specifying the database type and connection details. Once installed, the server can be run in development or production mode, configured via environment variables or command-line arguments. It exposes MCP capabilities such as resources (database schema), tools (query execution, column retrieval), and prompts (SQL query generation, optimization).
Key features of Database MCP Server
Database access via Legion Query Runner
Model Context Protocol (MCP) support for AI assistants
Expose database operations as MCP resources, tools, and prompts
Multiple deployment options (standalone MCP server, FastAPI integration)
Query execution and result handling
Flexible configuration via environment variables, command-line arguments, or MCP settings JSON
Use cases of Database MCP Server
Integrating databases with AI assistants
Providing database access through a standardized protocol (MCP)
Automating database query generation and optimization
Exposing database schemas and metadata to AI models
Building stateful AI applications that interact with databases
FAQ from Database MCP Server
What databases are supported?
What databases are supported?
The server supports PostgreSQL, Redshift, CockroachDB, MySQL, RDS MySQL, Microsoft SQL Server, Big Query, Oracle DB, and SQLite.
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
MCP is a specification for maintaining context in AI applications. This server uses the MCP Python SDK to expose database operations as tools, provide database schemas as resources, generate prompts, and enable stateful interactions.
How do I configure the database connection?
How do I configure the database connection?
The database connection is configured using the DB_TYPE and DB_CONFIG parameters. DB_TYPE specifies the database type code, and DB_CONFIG is a JSON string containing connection details. See the API documentation for database-specific configuration details.
How do I install the server?
How do I install the server?
The server can be installed using UV (recommended) or PIP. Refer to the Installation & Configuration section in the README for detailed instructions.
What MCP capabilities are exposed?
What MCP capabilities are exposed?
The server exposes resources like the database schema, tools for executing queries and retrieving column information, and prompts for generating and optimizing SQL queries.