Status: Works great and is in daily use without any known bugs.

Let Claude be your database expert! MCP Alchemy connects Claude Desktop directly to your databases, allowing it to:

• Help you explore and understand your database structure
• Assist in writing and validating SQL queries
• Displays relationships between tables
• Analyze large datasets and create reports
• Claude Desktop Can analyse and create artifacts for very large datasets using claude-local-files.

Works with PostgreSQL, MySQL, MariaDB, SQLite, Oracle, MS SQL Server and a host of other SQLAlchemy-compatible databases.

• all_table_names

  • Return all table names in the database
  • No input required
  • Returns comma-separated list of tables

  users, orders, products, categories
  

• filter_table_names

  • Find tables matching a substring
  • Input: q (string)
  • Returns matching table names

  Input: "user"
  Returns: "users, user_roles, user_permissions"
  

• schema_definitions

  • Get detailed schema for specified tables
  • Input: table_names (string[])
  • Returns table definitions including:
    • Column names and types
    • Primary keys
    • Foreign key relationships
    • Nullable flags

  users:
      id: INTEGER, primary key, autoincrement
      email: VARCHAR(255), nullable
      created_at: DATETIME
      
      Relationships:
        id -> orders.user_id
  

• execute_query

  • Execute SQL query with vertical output format
  • Inputs:
    • query (string): SQL query
    • params (object, optional): Query parameters
  • Returns results in clean vertical format:

  1. row
  id: 123
  name: John Doe
  created_at: 2024-03-15T14:30:00
  email: NULL
  
  Result: 1 rows
  

  • Features:
    • Smart truncation of large results
    • Full result set access via claude-local-files integration
    • Clean NULL value display
    • ISO formatted dates
    • Clear row separation

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "my_database": {
      "command": "uv",
      "args": ["--directory", "/path/to/mcp-alchemy", "run", "server.py"],
      "env": {
        "DB_URL": "mysql+pymysql://root:secret@localhost/databasename",
      }
    }
  }
}

Environment Variables:

• DB_URL: SQLAlchemy database URL (required) Examples:
  • PostgreSQL: postgresql://user:password@localhost/dbname
  • MySQL: mysql+pymysql://user:password@localhost/dbname
  • MariaDB: mariadb+pymysql://user:password@localhost/dbname
  • SQLite: sqlite:///path/to/database.db
• CLAUDE_LOCAL_FILES_PATH: Directory for full result sets (optional)
• EXECUTE_QUERY_MAX_CHARS: Maximum output length (optional, default 4000)

1. Clone repository:

git clone https://github.com/runekaagaard/mcp-alchemy.git

1. Ensure you have uv

# Install uv if you haven't already
curl -LsSf https://astral.sh/uv/install.sh | sh

1. Add database to claude_desktop_config.json (see above)

The following database drivers are included by default:

• SQLite: Built into Python, no additional installation needed
• MySQL/MariaDB: Via pymysql
• PostgreSQL: Via psycopg2-binary

To use other databases supported by SQLAlchemy, install the appropriate driver:

# Microsoft SQL Server
uv pip install pymssql

# Oracle
uv pip install cx_oracle

# Other databases
# See: https://docs.sqlalchemy.org/en/20/dialects/

When claude-local-files is configured:

• Access complete result sets beyond Claude's context window
• Generate detailed reports and visualizations
• Perform deep analysis on large datasets
• Export results for further processing

The integration automatically activates when CLAUDE_LOCAL_FILES_PATH is set.

Contributions are warmly welcomed! Whether it's bug reports, feature requests, documentation improvements, or code contributions - all input is valuable. Feel free to:

• Open an issue to report bugs or suggest features
• Submit pull requests with improvements
• Enhance documentation or share your usage examples
• Ask questions and share your experiences

The goal is to make database interaction with Claude even better, and your insights and contributions help achieve that.

Mozilla Public License Version 2.0