database-mcp

Integrations

  • Supports integration with FastAPI for running the MCP server, providing both standalone and integrated deployment options

  • Provides database access capabilities for MySQL, supporting query execution and schema exploration

  • Enables querying and interacting with PostgreSQL databases through SQL execution tools and schema resources

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.

Start Generation Here

This tool is provided by Legion AI. To use the full-fledged and fully powered AI data analytics tool, please visit the site.

End Generation Here

Features

  • 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

Supported Databases

DatabaseDB_TYPE code
PostgreSQLpg
Redshiftredshift
CockroachDBcockroach
MySQLmysql
RDS MySQLrds_mysql
Microsoft SQL Servermssql
Big Querybigquery
Oracle DBoracle
SQLitesqlite

We use Legion Query Runner library as connectors. You can find more info on their api doc.

What is MCP?

The Model Context Protocol (MCP) is a specification for maintaining context in AI applications. This server uses the MCP Python SDK to:

  • Expose database operations as tools for AI assistants
  • Provide database schemas and metadata as resources
  • Generate useful prompts for database operations
  • Enable stateful interactions with databases

Installation & Configuration

Required Parameters

Two parameters are required for all installation methods:

  • DB_TYPE: The database type code (see table above)
  • DB_CONFIG: A JSON configuration string for database connection

The DB_CONFIG format varies by database type. See the API documentation for database-specific configuration details.

Installation Methods

When using uv, no specific installation is needed. We will use uvx to directly run database-mcp.

UV Configuration Example:

REPLACE DB_TYPE and DB_CONFIG with your connection info. { "mcpServers": { "database-mcp": { "command": "uvx", "args": [ "database-mcp" ], "env": { "DB_TYPE": "pg", "DB_CONFIG": "{\"host\":\"localhost\",\"port\":5432,\"user\":\"user\",\"password\":\"pw\",\"dbname\":\"dbname\"}" }, "disabled": true, "autoApprove": [] } } }
Option 2: Using PIP

Install via pip:

pip install database-mcp

PIP Configuration Example:

{ "mcpServers": { "database": { "command": "python", "args": [ "-m", "database_mcp", "--repository", "path/to/git/repo" ], "env": { "DB_TYPE": "pg", "DB_CONFIG": "{\"host\":\"localhost\",\"port\":5432,\"user\":\"user\",\"password\":\"pw\",\"dbname\":\"dbname\"}" } } } }

Running the Server

Development Mode

mcp dev mcp_server.py

Production Mode

python mcp_server.py

Configuration Methods

Environment Variables
export DB_TYPE="pg" # or mysql, postgresql, etc. export DB_CONFIG='{"host":"localhost","port":5432,"user":"username","password":"password","dbname":"database_name"}' mcp dev mcp_server.py
Command Line Arguments
python mcp_server.py --db-type pg --db-config '{"host":"localhost","port":5432,"user":"username","password":"password","dbname":"database_name"}'

Or with UV:

uv mcp_server.py --db-type pg --db-config '{"host":"localhost","port":5432,"user":"username","password":"password","dbname":"database_name"}'

Exposed MCP Capabilities

Resources

ResourceDescription
schema://allGet the complete database schema

Tools

ToolDescription
execute_queryExecute a SQL query and return results as a markdown table
execute_query_jsonExecute a SQL query and return results as JSON
get_table_columnsGet column names for a specific table
get_table_typesGet column types for a specific table
get_query_historyGet the recent query history

Prompts

PromptDescription
sql_queryCreate an SQL query against the database
explain_queryExplain what a SQL query does
optimize_queryOptimize a SQL query for better performance

Development

Testing

uv pip install -e ".[dev]" pytest

Publishing

rm -rf dist/ build/ *.egg-info/ && python -m build python -m build python -m twine upload dist/*

License

This repository is licensed under GPL

-
security - not tested
A
license - permissive license
-
quality - not tested

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

A server that helps people access and query data in databases using the Query Runner with integration of the Model Context Protocol (MCP) Python SDK. Supported by Legion AI team (thelegionai.com)

Support databases including PostgreSQL Redshift MySQL Microsoft SQL Server Google APIs Amazon Web Services (via boto3) CockroachDB SQLite

  1. Start Generation Here
    1. End Generation Here
      1. Features
      2. Supported Databases
      3. What is MCP?
      4. Installation & Configuration
      5. Running the Server
      6. Exposed MCP Capabilities
      7. Development
      8. License

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