惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Google DeepMind News
Google DeepMind News
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
Security Latest
Security Latest
P
Palo Alto Networks Blog
AWS News Blog
AWS News Blog
NISL@THU
NISL@THU
T
Threatpost
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Latest news
Latest news
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
WordPress大学
WordPress大学
J
Java Code Geeks
P
Privacy International News Feed
阮一峰的网络日志
阮一峰的网络日志
S
Schneier on Security
博客园 - 聂微东
Project Zero
Project Zero
美团技术团队
Recent Commits to openclaw:main
Recent Commits to openclaw:main
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
Scott Helme
Scott Helme
I
Intezer
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
H
Hacker News: Front Page
S
Security @ Cisco Blogs
博客园 - 司徒正美
O
OpenAI News
Last Week in AI
Last Week in AI
L
LINUX DO - 热门话题
酷 壳 – CoolShell
酷 壳 – CoolShell
SecWiki News
SecWiki News
月光博客
月光博客
S
Security Affairs
The GitHub Blog
The GitHub Blog
P
Privacy & Cybersecurity Law Blog
S
Secure Thoughts
V
V2EX
S
Securelist
F
Fortinet All Blogs
W
WeLiveSecurity
D
Docker
博客园 - 三生石上(FineUI控件)
Simon Willison's Weblog
Simon Willison's Weblog
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
C
Cyber Attacks, Cyber Crime and Cyber Security
V
Visual Studio Blog
www.infosecurity-magazine.com
www.infosecurity-magazine.com
Webroot Blog
Webroot Blog
Engineering at Meta
Engineering at Meta

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
Giving an AI agent the keys without giving it the building: RBAC + org-scoped MCP tools in Laravel
Nasrul Hazim Bin Mohamad · 2026-06-25 · via DEV Community

Exposing your app to an AI agent over MCP is basically handing someone a master keyring and trusting them to only open the doors they're supposed to. That trust is a bug waiting to happen. This week I wired up a batch of MCP tools over a multi-tenant Laravel app, and the whole exercise was really about one question: how do I let an agent drive the app without letting it drive someone else's data?

Here's the thing about MCP tools — each one is an endpoint. An agent calls list_events, publish_event, check_in_participant, and your server runs code on the caller's behalf. The moment you have more than one tenant, every single tool needs to answer two questions before it does anything: are you allowed to do this, and are you allowed to do it *here*. Authorization and scope. Skip either and you've built a confused deputy.

The trap: ambient scope doesn't exist under token auth

In a normal web request, multi-tenancy is comfortable. You've got a logged-in user, a global scope on the model that quietly appends where organization_id = ?, and you mostly forget it's there. Everything Just Works because there's an ambient "current organization" sitting in the session.

MCP tools don't have that. The caller authenticates with a token, there's no session, no middleware stack that set up a current-tenant context. If you lean on a global OrganizationScope that reads "the current org" from somewhere, it reads nothing — and a query you assumed was fenced returns every tenant's rows. That's the kind of bug that doesn't throw an error; it just silently leaks.

So the rule I settled on: under token auth, never rely on ambient scope. Filter explicitly, every time, in one place.

That "one place" is a small trait every event-scoped tool pulls in:

trait ResolvesOrgEvents
{
    protected function resolveOrgEvent(Authenticatable $user, string $uuid): ?Event
    {
        if (empty($user->organization_id)) {
            return null;
        }

        return Event::query()
            ->withOrganization($user->organization_id)
            ->where('uuid', $uuid)
            ->first();
    }
}

Nothing clever — and that's the point. The org filter isn't a global scope you hope is active; it's a named query scope (withOrganization) applied by hand, living in exactly one trait. Every tool that resolves an event by UUID goes through this. If the resolution returns null, the tool answers "not found in your organization" and stops. An agent poking at a UUID from another tenant gets the same response as a UUID that doesn't exist — no oracle, no leak.

Notice the lookup is by UUID, not auto-increment ID. Public identifiers should be unguessable. An agent (or a prompt-injected one) shouldn't be able to enumerate event/1, event/2, event/3. The internal numeric key never leaves the database.

Authorization: one ability per tool, checked the same way as the web app

Scope keeps you in your tenant. Authorization decides what you can do within it. I gave every tool a single declared ability:

#[Name('event_readiness_check')]
#[Description('Check whether an event is ready to publish. Returns ready=true/false and blocking issues.')]
#[IsReadOnly]
class EventReadinessCheckTool extends McpKitTool
{
    use ResolvesOrgEvents;

    protected function ability(): string
    {
        return 'events.view.details';
    }

    public function handle(Request $request): Response
    {
        $user = $this->authorizedUser($request);

        if ($user === null) {
            return $this->unauthorized();
        }

        $validated = $request->validate([
            'event' => ['required', 'string', 'max:36'],
        ]);

        $event = $this->resolveOrgEvent($user, $validated['event']);

        if ($event === null) {
            return Response::error('Event not found in your organization.');
        }

        // ... do the read-only work
    }
}

A few deliberate choices here.

The ability() method is the tool's contract — it says, in one line, "you need this permission to call me." The base McpKitTool does the gate-check in authorizedUser(), so the permission logic isn't copy-pasted into every handle(). And crucially, it's the same ability string the web app and the underlying action already use. The readiness check leans on events.view.details; the publish flow leans on the same gate the lifecycle action enforces. One permission model, three entry points (web, action, MCP). I'm not maintaining a second, parallel "what can the agent do" matrix that drifts out of sync with the real one — that drift is exactly how an agent ends up more privileged than the human behind it.

The #[IsReadOnly] annotation is a small honesty signal. Read tools and write tools get marked differently, so a client can reason about which calls have side effects. list_events and event_readiness_check are read-only; publish_event is not. It's cheap to annotate and it makes the destructive surface explicit.

And the input still goes through $request->validate(). The agent is an untrusted client like any other — max:36 on a UUID field isn't paranoia, it's the same hygiene you'd apply to a public form request.

The shape that emerged

Once a couple of tools existed, the pattern crystallized and the rest were almost mechanical:

  • List first. list_events is the entry point — it's the only tool that doesn't take a UUID, because it's how the agent gets UUIDs. It's org-filtered the same explicit way, so the agent's whole world is its own tenant from the first call.
  • Resolve through the trait. Every event-scoped tool resolves via resolveOrgEvent. The fence lives in one file.
  • Gate on a real ability. Reuse the app's permission strings, don't invent agent-only ones.
  • Annotate side effects. Read vs write is declared, not implied.

That uniformity matters more than any single tool. When fifteen tools all follow the same four rules, you can audit the rules instead of auditing fifteen handle() methods.

Worth a test

The org-fencing is the kind of thing that's easy to get right today and quietly break in six months when someone "optimizes" a query. So it gets a Pest test that asserts the boundary directly — not "does the happy path work" but "does the wrong tenant get nothing":

it('never resolves an event from another organization', function () {
    $mine = Event::factory()->for($orgA)->create();
    $theirs = Event::factory()->for($orgB)->create();

    $user = User::factory()->for($orgA)->create();

    expect(resolveOrgEvent($user, $mine->uuid))->not->toBeNull()
        ->and(resolveOrgEvent($user, $theirs->uuid))->toBeNull();
});

it('returns null when the user has no organization', function () {
    $user = User::factory()->create(['organization_id' => null]);

    expect(resolveOrgEvent($user, Event::factory()->create()->uuid))
        ->toBeNull();
});

The second case — a user with no org context — is the one people forget. Under token auth you can absolutely end up with an authenticated principal that isn't attached to a tenant, and "no org" must mean "no access," not "all access by accident."

Takeaway

MCP makes it genuinely easy to expose your app to an agent — maybe a little too easy. The mechanics of registering a tool are trivial; the discipline is all in the boundaries. Treat every tool as an untrusted endpoint: explicit tenant scope (never ambient, under token auth), one declared ability per tool that reuses your existing permission model, UUIDs over enumerable IDs, and read/write honesty baked in. Put the fence in one trait so there's a single place to get it right — and a single place to test.

An agent should be able to do everything the human behind it can do, in exactly the tenant they belong to, and nothing more. That's not an AI problem. It's the same multi-tenancy and authorization discipline we've always needed — MCP just removes every excuse for being sloppy about it.