Migratorxpress

PyPI License: MIT MCP Registry

A Model Context Protocol (MCP) server for MigratorXpress, enabling database migration between heterogeneous database systems through AI assistants.

MigratorXpress supports migrating from Oracle, PostgreSQL, SQL Server, and Netezza to PostgreSQL or SQL Server targets.

Installation

pip install -e .

Or install dependencies directly:

pip install -r requirements.txt

Configuration

Environment Variables

Variable	Default	Description
MIGRATORXPRESS_PATH	./MigratorXpress	Path to MigratorXpress binary
MIGRATORXPRESS_TIMEOUT	3600	Command execution timeout in seconds
MIGRATORXPRESS_LOG_DIR	./logs	Directory for execution logs
LOG_LEVEL	INFO	Server logging level

Copy .env.example to .env and adjust values:

cp .env.example .env

Claude Code Configuration

Add to your Claude Code MCP settings:

{
  "mcpServers": {
    "migratorxpress": {
      "command": "python",
      "args": ["-m", "src.server"],
      "cwd": "/path/to/migratorxpress-mcp",
      "env": {
        "MIGRATORXPRESS_PATH": "/path/to/MigratorXpress"
      }
    }
  }
}

Tools

1. preview_command

Build and preview a MigratorXpress CLI command without executing it. License text is automatically masked in the display output.

Required parameters: auth_file, source_db_auth_id, source_db_name, target_db_auth_id, target_db_name, migration_db_auth_id

2. execute_command

Execute a previously previewed command. Requires confirmation: true as a safety mechanism.

3. validate_auth_file

Validate that an authentication file exists, is valid JSON, and optionally check for specific auth_id entries.

4. list_capabilities

List supported source/target databases, tasks, migration DB modes, load modes, and FK modes.

5. suggest_workflow

Given a source database type, target database type, and optional constraint flag, suggest the full sequence of migration tasks with example commands.

6. get_version

Report MigratorXpress version and capabilities.

Workflow Example

A typical migration from Oracle to PostgreSQL:

Step 1: translate  — Translate Oracle DDL to PostgreSQL-compatible DDL
Step 2: create     — Create target tables from translated DDL
Step 3: transfer   — Transfer data from source to target
Step 4: diff       — Verify row counts match between source and target
Step 5: copy_pk    — Copy primary key constraints
        copy_ak    — Copy alternate key (unique) constraints
        copy_fk    — Copy foreign key constraints

Or run all steps in a single invocation with --task_list all.

Development

Running Tests

pip install -e ".[dev]"
python -m pytest tests/ -v

License

MIT