Which integrations are available for this server?

Allows querying, schema inspection, and management of MySQL databases through the MCP server. Allows querying, schema inspection, and management of PostgreSQL databases through the MCP server. Allows querying, schema inspection, and management of SQLite databases through the MCP server.

How do I use mcp-database?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@mcp-database show me the schema for the users table" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

mcp-database

by jovian-zhibai

Overview Schema Related Servers Score Discussions

Python

Hybrid

mcp-database

PyPI Python License MCP

MCP server for multi-database access — query, inspect schema, and manage SQLite, PostgreSQL, and MySQL databases through Claude.

Why mcp-database?

Problem	Solution
Need to query a database from Claude Code / Claude Desktop	One MCP server, multiple database support
Existing database MCP servers are JS/Go only	Pure Python, uses official `mcp` SDK
Worried about accidental writes	Read-only by default, writes opt-in
Don't know the schema	Built-in schema inspection, table info, search

Related MCP server: mcp-database-server

Quick Start

# Install
pip install mcp-database

# Run with a SQLite database
MCP_DATABASE_URL=sqlite:///path/to/your.db mcp-database

Claude Code Integration

# Add to Claude Code
claude mcp add mcp-database -- mcp-database

# Or with a specific database
claude mcp add mcp-database -e MCP_DATABASE_URL=sqlite:///path/to/db.sqlite -- mcp-database

Claude Desktop Integration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "database": {
      "command": "mcp-database",
      "env": {
        "MCP_DATABASE_URL": "sqlite:///path/to/your.db"
      }
    }
  }
}

Supported Databases

Database	Status	Install
SQLite	Built-in	`pip install mcp-database`
PostgreSQL	Optional	`pip install 'mcp-database[postgres]'`
MySQL	Optional	`pip install 'mcp-database[mysql]'`
All	Optional	`pip install 'mcp-database[all]'`

Configuration

Environment Variables

Variable	Default	Description
`MCP_DATABASE_URL`	`sqlite:///:memory:`	Database connection URL
`MCP_DATABASE_TYPE`	`sqlite`	Database type: `sqlite`, `postgresql`, `mysql`
`MCP_DATABASE_READ_ONLY`	`true`	Enable read-only mode
`MCP_MAX_ROWS`	`100`	Maximum rows returned per query

Connection URLs

# SQLite
MCP_DATABASE_URL=sqlite:///path/to/db.sqlite
MCP_DATABASE_URL=sqlite:///:memory:

# PostgreSQL
MCP_DATABASE_URL=postgres://user:password@localhost:5432/mydb
MCP_DATABASE_TYPE=postgresql

# MySQL
MCP_DATABASE_URL=mysql://user:password@localhost:3306/mydb
MCP_DATABASE_TYPE=mysql

Available Tools

Once connected, Claude can use these tools:

Tool	Description
`list_databases`	List all configured database connections
`list_tables`	List all tables in a database
`get_table_info`	Get detailed table info (columns, types, row count)
`get_schema`	Get full database schema (CREATE TABLE statements)
`query`	Execute a read-only SQL query (SELECT, SHOW, DESCRIBE)
`execute`	Execute a write statement (INSERT, UPDATE, DELETE) — opt-in only
`sample_rows`	Get sample rows from a table
`search_tables`	Search for tables or columns by keyword

Examples

Ask Claude things like:

"What tables are in my database?"
"Show me the schema for the users table"
"Query the top 10 orders by amount"
"Find all columns related to 'email'"
"Sample some rows from the products table"

Security

Read-only by default — queries are safe, no data modification
Write opt-in — set allow_writes=True and MCP_DATABASE_READ_ONLY=false to enable
Read-only detection — write tool rejects SELECT statements (use query instead)
Row limits — configurable max rows to prevent accidental large result sets

Development

# Clone and install for development
git clone https://github.com/Jansen003/mcp-database.git
cd mcp-database
pip install -e ".[dev]"

# Run tests
pytest

# Run with Inspector UI
mcp dev src/mcp_database/server.py

License

MIT — see LICENSE.

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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