Laravel MCP Server

Laravel MCP Server

Exposes Laravel development tools (artisan, migrations, config, schema, logs) as MCP tools for use with compatible clients.

Category
访问服务器

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 artisan in 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

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选