AI coding assistants have transformed the way we build software. They can understand your code, generate features, and help with debugging but they usually have no idea what's inside your database.
That's where Neo4j Laravel Boost comes in.
It integrates the official Neo4j MCP server directly into Laravel Boost, giving any MCP-compatible AI client access to your live Neo4j database and graph tooling. Instead of managing multiple MCP servers, everything is exposed through your existing Laravel Boost server.
Once configured, your AI assistant can:
Instead of relying solely on static code analysis, your AI assistant gains access to your application's graph data and architecture, making it much more capable.
Install the package using Composer.
composer require --dev neo4j/laravel-boost
Configure your Neo4j connection.
NEO4J_URI=bolt://localhost:7687
NEO4J_USERNAME=neo4j
NEO4J_PASSWORD=your-password
Run the interactive setup.
php artisan neo4j-boost:setup
The setup wizard validates your Neo4j connection, configures the package, optionally installs the official Neo4j MCP binary, and can even spin up a local Neo4j Docker instance for you.
Your AI client only needs a single MCP server configuration.
{
"mcpServers": {
"laravel-boost": {
"command": "php",
"args": [
"artisan",
"boost:mcp"
],
"env": {
"APP_ENV": "local"
}
}
}
}
Whether you're using Cursor, Claude Code, or another MCP-compatible client, Neo4j tools become available alongside your existing Laravel Boost tools.
One of the most interesting features of Neo4j Laravel Boost is the ability to export your Laravel service container directly into Neo4j.
php artisan container:graph
Once exported, your dependency graph becomes queryable by your AI assistant.
For example:
{
"class": "App\\Services\\FooService",
"direction": "outbound",
"depth": 4
}
Instead of manually tracing dependencies across dozens of files, your AI assistant can understand how your services are connected and provide much richer insights into your application's architecture.
php artisan neo4j-boost:setup
Checks your configuration, validates your Neo4j connection, and performs the initial setup.
php artisan neo4j-boost:start-neo4j
Starts a Docker-based Neo4j instance with the required plugins so you can start developing immediately.
php artisan neo4j-boost:doctor
Runs a complete health check for your installation, transport configuration, Neo4j connection, and MCP setup.
php artisan neo4j-boost:cursor-config
Creates or updates your .cursor/mcp.json
file so Cursor can immediately connect to Laravel Boost.
php artisan container:graph
Exports your Laravel service container into Neo4j, making it possible to visualize and query your application's dependency graph.
Neo4j Laravel Boost supports multiple transport options depending on your development workflow.
Communicates directly with Neo4j over Bolt using the PHP driver.
Launches the official Neo4j MCP binary as a subprocess.
Connects to a remote or containerized Neo4j MCP server.
This flexibility makes it easy to integrate into local development environments, Docker setups, and remote deployments.
Most AI coding assistants only understand your source code.
Neo4j Laravel Boost gives them additional context by allowing them to:
The result is an AI assistant that's significantly more aware of your application's structure and data model.
The MCP ecosystem is evolving quickly, and tools that connect AI assistants with live application data are becoming increasingly valuable.
Neo4j Laravel Boost is a great example of what's possible. By combining Laravel Boost with the official Neo4j MCP server, it enables your AI assistant to go beyond static code analysis and interact directly with your graph database and application architecture.
If you're already using Laravel Boost or building applications with Neo4j, this package is definitely worth checking out.
⭐ Give the project a try, explore its features, and let me know how you're using Neo4j Laravel Boost in your workflow!