Laravel MCP Server
Exposes Laravel development tools (artisan, migrations, config, schema, logs) as MCP tools for use with compatible clients.
README
Laravel AI Development Agent
An MCP-powered autonomous development toolkit for Laravel projects.
Give Claude / OpenCode / Cursor a Laravel engineering brain.
A Model Context Protocol (MCP) server that makes your AI coding agent understand, generate and debug Laravel applications. Works with any MCP-compatible client: Claude Desktop, Cursor, Codex, OpenCode, and more.
Features
✅ Understand Laravel project structure — models, routes, migrations, packages, frontend — injected automatically
✅ Generate complete features — from a natural-language request to working CRUD, Blade views, and REST APIs
✅ Debug exceptions — locate the file, diagnose common Laravel errors, suggest fixes
✅ Generate REST APIs — migration, model, API controller, Sanctum-protected routes, tests
✅ Analyze database — schema, tables, columns, migrations, relationships
✅ Safe Artisan execution — command whitelist, dangerous commands blocked, sensitive data redacted
Demo
Once connected, ask your AI agent in any MCP-compatible client:
> Add a comment feature to the blog
→ intentPlanner: parsed as create_feature/Comment
→ createFeature: migration → model → controller → request → views → test
→ workflowStatus: run persisted to .mcp/runs/
> List the routes
→ routeList: 47 routes, filterable by name
> SQLSTATE[42P01] Table not found — how to fix?
→ debugWorkflow: locate + diagnose + suggest fixes
Tools
| Tool | Description |
|---|---|
artisan |
Run any php artisan command (whitelist restricted) |
migrateStatus |
Check migration status |
envInfo |
Display APP_ENV, APP_DEBUG, DB connection |
cache |
Clear/cache config, routes, views |
configGet |
Inspect config values by key |
schema |
List database tables, view column definitions |
model |
Scan Eloquent models in app/Models |
log |
Tail the Laravel log file |
routeList |
List routes with optional name/URI/method filter |
runTest |
Run PHPUnit tests with optional filter |
envInfoSafe |
Read .env filtering out sensitive values |
frontendScanner |
Scan resources/views, js, css structure |
makeModel |
Create a new Eloquent model with optional migration/factory |
makeController |
Create a controller with optional resource/api/model binding |
makeMigration |
Create a new migration file |
migrationAnalyzer |
Parse migrations and extract schema (columns, types, FKs) |
composerAnalyzer |
List project dependencies with version info |
projectContext |
Get comprehensive project context (version, models, routes, packages) |
crudGenerator |
Generate full CRUD: migration, model, controller, request, route, test |
createFeature |
Generate full feature: CRUD + Blade views |
apiGenerator |
Generate REST API: migration, model, API controller, routes, tests |
debugWorkflow |
Analyze an error: locate, diagnose, suggest fixes |
intentPlanner |
Parse a natural-language dev request into an executable plan |
workflowStatus |
List/inspect/resume/rollback workflow runs |
Usage
Installation
# From npm (demo version)
npm install laravel-ai-agent@beta
# From GitHub (demo version)
npm install github:dok4everak47/laravel-ai-agent
With OpenCode
Add to ~/.config/opencode/opencode.jsonc:
{
"mcpServers": {
"laravel": {
"type": "local",
"command": ["node", "/path/to/laravel-ai-agent/dist/index.js"]
}
}
}
With Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"laravel": {
"command": "node",
"args": ["/path/to/laravel-ai-agent/dist/index.js"]
}
}
}
Environment Variables
| Variable | Default | Description |
|---|---|---|
LARAVEL_PROJECT_PATH |
process.cwd() |
Path to Laravel project |
PHP_PATH |
php |
PHP executable path |
LLM_API_KEY |
(empty) | Enables the LLM semantic layer for intentPlanner (e.g. DeepSeek/OpenAI key) |
LLM_BASE_URL |
https://api.deepseek.com/v1 |
OpenAI-compatible API base URL |
LLM_MODEL |
deepseek-chat |
LLM model used for intent analysis |
Requirements
- Node.js 18+
- PHP 8.1+ (for Laravel project interaction)
- A Laravel project with
artisanin its root
Development
npm install
npm run typecheck # tsc --noEmit (type-check only)
npm test # run all tests
npm run build # compile to dist/
npm start # node dist/index.js
npm run dev # npx tsx src/index.ts (hot reload)
Security Model
✓ Local only — runs entirely on your machine, no server component
✓ No telemetry — sends zero usage data
✓ No external API by default — works fully offline; the LLM semantic layer only makes network calls when LLM_API_KEY is set
✓ Command whitelist — artisan restricted to safe commands
✓ Dangerous commands blocked — db:wipe, migrate:fresh, tinker, shell
✓ Sensitive data redaction — .env values filtered before returning
See SECURITY.md for details.
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.