django migrations mcp

Local 2025-09-01 00:49:16 0

A Model Context Protocol service that wraps Django's migration commands as MCP endpoints, making it easy to manage migrations across multiple services and integrate with CI/CD pipelines.


A Model Context Protocol (MCP) service for managing Django migrations in distributed environments. This service wraps Django's migration commands and exposes them as MCP endpoints, making it easy to manage migrations across multiple services and integrate with CI/CD pipelines.

Features

  • Check migration status (equivalent to showmigrations)
  • Create new migrations with validation (equivalent to makemigrations)
  • Apply migrations with safety checks (equivalent to migrate)
  • Additional validation and safety checks:
  • Sequential migration order verification
  • Conflict detection
  • Dependency validation
  • Safety analysis of migration operations

Installation

Local Development

  1. Clone the repository:

    git clone https://github.com/mrrobotke/django-migrations-mcp.git
    cd django-migrations-mcp

  2. Install dependencies:

    pip install -r requirements.txt

Configuration

Set the following environment variables:

export DJANGO_SETTINGS_MODULE="your_project.settings"
export MCP_SERVICE_PORT=8000  # Optional, defaults to 8000

Usage

Running the Service

  1. Directly with Python:

    python -m migrations_mcp.service

  2. Using Docker:

    docker build -t django-migrations-mcp .
    docker run -e DJANGO_SETTINGS_MODULE=your_project.settings 
              -v /path/to/your/django/project:/app/project 
              -p 8000:8000 
              django-migrations-mcp

MCP Endpoints

  1. Show Migrations:

    from mcp import MCPClient
    
    client = MCPClient()
    migrations = await client.call("show_migrations")

  2. Make Migrations:

    result = await client.call("make_migrations", {
        "app_labels": ["myapp"],  # Optional
        "dry_run": True  # Optional
    })

  3. Apply Migrations:

    result = await client.call("migrate", {
        "app_label": "myapp",  # Optional
        "migration_name": "0001",  # Optional
        "fake": False,  # Optional
        "plan": True  # Optional
    })

CI/CD Integration

Example GitHub Actions workflow:

name: Django Migrations Check

on:
  pull_request:
    paths:
      - '*/migrations/*.py'
      - '*/models.py'

jobs:
  check-migrations:
    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v2

    - name: Set up Python
      uses: actions/setup-python@v2
      with:
        python-version: '3.11'

    - name: Install dependencies
      run: |
        pip install -r requirements.txt

    - name: Start MCP service
      run: |
        python -m migrations_mcp.service &

    - name: Check migrations
      run: |
        python ci/check_migrations.py

Example check_migrations.py script:

import asyncio
from mcp import MCPClient

async def check_migrations():
    client = MCPClient()

    # Check current status
    migrations = await client.call("show_migrations")

    # Try making migrations
    result = await client.call("make_migrations", {"dry_run": True})
    if not result.success:
        print(f"Error: {result.message}")
        exit(1)

    print("Migration check passed!")

if __name__ == "__main__":
    asyncio.run(check_migrations())

Development

Running Tests

pytest migrations_mcp/tests/

Code Style

The project follows PEP 8 guidelines. Format your code using:

black migrations_mcp/
isort migrations_mcp/

License

MIT License. See LICENSE file for details.

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Docker Usage

The project includes a docker-commands.json file that provides structured commands for different deployment scenarios. You can use these commands directly or parse them in your scripts.

Available Docker Configurations

  1. Redis MCP Server

    # Run Redis MCP server
    docker run -i --rm mcp/redis redis://host.docker.internal:6379

  2. Django Migrations MCP Server

    # Basic setup
    docker run -d 
      --name django-migrations-mcp 
      -e DJANGO_SETTINGS_MODULE=your_project.settings 
      -e MCP_SERVICE_PORT=8000 
      -v /path/to/your/django/project:/app/project 
      -p 8000:8000 
      django-migrations-mcp
    
    # With Redis integration
    docker run -d 
      --name django-migrations-mcp 
      -e DJANGO_SETTINGS_MODULE=your_project.settings 
      -e MCP_SERVICE_PORT=8000 
      -e REDIS_URL=redis://host.docker.internal:6379 
      -v /path/to/your/django/project:/app/project 
      -p 8000:8000 
      --network host 
      django-migrations-mcp

  3. Development Environment

    # Using docker-compose
    docker-compose up -d --build

  4. Testing Environment

    # Run tests in container
    docker run --rm 
      -e DJANGO_SETTINGS_MODULE=your_project.settings 
      -e PYTHONPATH=/app 
      -v ${PWD}:/app 
      django-migrations-mcp 
      pytest

  5. Production Environment

    # Production setup with health check
    docker run -d 
      --name django-migrations-mcp 
      -e DJANGO_SETTINGS_MODULE=your_project.settings 
      -e MCP_SERVICE_PORT=8000 
      -e REDIS_URL=redis://your-redis-host:6379 
      -v /path/to/your/django/project:/app/project 
      -p 8000:8000 
      --restart unless-stopped 
      --network your-network 
      django-migrations-mcp

Using the Commands Programmatically

You can parse and use the commands programmatically:

import json
import subprocess

# Load commands
with open('docker-commands.json') as f:
    commands = json.load(f)

# Run Redis MCP server
redis_config = commands['mcpServers']['redis']
subprocess.run([redis_config['command']] + redis_config['args'])

# Run Django Migrations MCP server
django_config = commands['mcpServers']['djangoMigrations']
subprocess.run([django_config['command']] + django_config['args'])

Network Setup

  1. Development Network

    docker network create mcp-dev-network

  2. Production Network

    docker network create --driver overlay --attachable mcp-prod-network

Using MCP Tools

The service exposes several endpoints that can be accessed via curl or any HTTP client:

  1. Show Migrations

    curl -X POST http://localhost:8000/mcp 
      -H "Content-Type: application/json" 
      -d '{"method": "show_migrations"}'

  2. Make Migrations

    curl -X POST http://localhost:8000/mcp 
      -H "Content-Type: application/json" 
      -d '{"method": "make_migrations", "params": {"apps": ["your_app"]}}'

  3. Apply Migrations

    curl -X POST http://localhost:8000/mcp 
      -H "Content-Type: application/json" 
      -d '{"method": "migrate", "params": {"app": "your_app"}}'