Laravel Excellence Prover MCP for AI. Force AI agents to write production-ready code.
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Laravel Excellence Prover forces your AI agent to write code that meets senior developer standards. It checks for common performance traps like N+1 queries and architectural mistakes, ensuring every line follows Laravel's best practices.
This MCP validates everything from mass assignment safety to complex business logic separation.
What your AI can do
Validate laravel excellence
This single tool validates if the generated Laravel code adheres to best practices across six areas: preventing workarounds, separating responsibilities, securing mass assignment, optimizing queries, and respecting core architecture.
It flags N+1 query patterns, forcing the agent to implement eager loading and proper scopes.
The MCP ensures business logic lives outside of controllers, keeping HTTP concerns separate from execution steps.
It validates that the agent uses explicit whitelisting for database writes, preventing mass assignment attacks.
It rejects manual workarounds and forces the use of built-in Laravel features like Policies or API Resources.
The system verifies that multi-step database writes are wrapped in transactions to prevent partial failures.
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Laravel Excellence Prover: 1 Tool Available
This MCP provides one tool that validates Laravel code against best practices, checking for performance traps, security vulnerabilities, and architectural mistakes.
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Start using Laravel Excellence Prover on VinkiusValidate Laravel Excellence
This single tool validates if the generated Laravel code adheres to best practices across six areas: preventing workarounds, separating...
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Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
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Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Laravel Excellence Prover, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Laravel Excellence Prover. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 1 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
The pain of legacy Laravel endpoints
You open up a controller file and see 80 lines of code. It handles validation, calculates pricing rules, talks to an external API, writes to the database, and sends an email. Every time you touch it, you have to trace which part does what, praying that one piece doesn't fail midway through.
With this MCP, your agent gets a clear separation of concerns. The controller only handles incoming HTTP requests; validation moves into FormRequests, complex calculations move into Service classes, and side effects like emails are dispatched as Events. You get clean code—the kind you actually want to maintain.
The `validate_laravel_excellence` MCP gives you architectural proof.
You stop manually checking if the developer remembered to wrap related database writes in a transaction, or if they used raw SQL when an Eloquent scope would suffice. The tool explicitly mandates proper use of Model::with() and API Resources everywhere.
It's not just about fixing bugs; it’s about enforcing professional standards across your entire codebase. You stop guessing if the code is 'good enough.' It proves that it adheres to senior-level architectural principles.
What your AI can actually do with this
You know the drill. You ask your agent to generate a new feature endpoint, and it spits out code that technically runs but you instantly know is garbage. It’s bloated controllers, manual database calls where Eloquent should be used, or worse—N+1 query disasters waiting for high traffic. This MCP forces excellence.
It doesn't just check syntax; it audits the entire architecture against proven Laravel idioms. You get code that separates HTTP handling from business logic, uses explicit field whitelisting, and handles transactions correctly. By connecting this MCP through Vinkius, your AI agent gets immediate feedback on every pattern violation—forcing it to fix lazy-loading relationships, properly use FormRequests for validation, or refactor a fat controller into services.
The result is reliable code you can actually ship.
019e58c7-ea49-70d3-b791-f36358547e51 
Here's how it actually works
The bottom line is that your agent gets instant feedback on code quality, forcing it to write production-ready, battle-tested Laravel architecture.
Give your agent the code snippet or feature description you want it to review.
The MCP runs multiple decision pivots, checking for every violation—from query structure to responsibility separation.
You receive a structured verdict detailing exactly which best practice was missed and how to fix it using core Laravel features.
Who is this actually for?
Backend engineers and software architects who are sick of reviewing mediocre PRs. If you spend more time refactoring basic queries than building features, you need this.
Uses the MCP to review agent-generated endpoints before committing code, catching N+1 issues and architectural debt that would otherwise hit production.
Uses the tool during planning phases to define strict Service/Action boundaries and ensure all new features adhere to established patterns.
Integrates this into CI pipelines or local development workflows to enforce code quality rules before deployment, minimizing runtime failures.
What Changes When You Connect
Stop hitting the database with N+1 queries. The tool checks for lazy loading in loops and views, forcing the use of with() or scopes so your application stays fast under load.
Never deal with fat controllers again. It mandates that business logic moves out of the controller and into dedicated Service or Action classes, keeping HTTP handling clean and thin.
Eliminate mass assignment holes. The MCP requires explicit $fillable arrays and validates input using request->validated(), stopping attackers from injecting random fields like is_admin=true.
Use Laravel the right way. It rejects manual workarounds, forcing your agent to use built-in features like FormRequests for validation or API Resources for structured JSON output.
Build resilient systems. The tool verifies that multi-model database writes are wrapped in a DB::transaction() block, preventing partial failures when things go wrong.
See it in action
Building an Admin Dashboard List
You need to list 500 user records and their associated posts. If your agent uses simple User::all() in the view loop, it's a disaster. Running this MCP forces the use of User::with('posts')->paginate(25), keeping query count low and performance high.
Creating a Complex Order Flow
A new user checkout requires updating inventory, creating an order record, and dispatching a payment event. The MCP ensures this whole sequence is wrapped in DB::transaction() so if the email fails, the database rollbacks completely.
Handling User Profile Updates
Instead of letting your agent pass $request->all() to create a user model, you run this MCP. It forces the use of FormRequests and explicit whitelisting, guaranteeing only intended fields can be updated.
Refactoring an Old API Endpoint
An existing controller handles validation, business logic (calculating pricing), and database saving all in one method. The MCP forces you to split that into a dedicated Service class for the calculation and keeping only HTTP handling in the controller.
The honest tradeoffs
Manual Validation
Using if ($request->input('email') && filter_var(...)) to validate input right inside a method.
Don't write manual checks. Use a FormRequest class for validation logic, keeping your controller clean and letting Laravel handle the ruleset.
Using `env()` in code
Accessing configuration keys using env('STRIPE_KEY') directly in application files.
Use config('services.stripe.key') everywhere instead. This prevents the code from breaking when you run your app with a cached config.
Passing all request data
Calling User::create($request->all()) which allows an attacker to POST random fields like is_admin=true.
Never use $request->all(). Always validate and only pass the guaranteed clean list of inputs using $request->validated().
When It Fits, When It Doesn't
Use this MCP if your core problem is architectural debt or performance degradation stemming from how AI agents structure Laravel code. You need to enforce best practices for query writing, data handling, and responsibility separation. Don't use it if you just need simple syntax checking; that’s a basic linter job. If your issue is purely front-end state management (Vuex/Pinia), this MCP won't help. It focuses entirely on the backend PHP layer. When in doubt about how clean or scalable the code is, run through the validate_laravel_excellence tool—it covers everything from database transactions to service layering.
Questions you might have
Does Laravel Excellence Prover generate or write Laravel code? +
No. The agent writes the code. The tool VALIDATES that the code meets senior-level Laravel standards — query optimization, framework idioms, responsibility separation, mass assignment protection, and architectural compliance. It catches the five failure modes before the code is committed.
What does it catch that a system prompt instruction doesn't? +
Prompt instructions are suggestions — agents routinely ignore 'use eager loading' or 'validate with FormRequests.' Tool calls are obligations — the agent must fill every field. The engine has 22 consistency rules that catch specific anti-patterns: N+1, raw SQL without justification, env() in app code, unbounded get()/all(), synchronous heavy I/O, dd()/dump() in production, magic values, vague claims like 'follows best practices', and platitude conclusions. A prompt cannot enforce these — a tool schema can.
Why is N+1 checked before everything else? +
Because N+1 is the single most common and damaging performance anti-pattern in Laravel. A beautifully architected application with clean controllers and perfect FormRequests will still crash under load if every Blade view triggers 100 lazy-loaded queries. N+1 is checked first because no amount of clean architecture compensates for a database under siege.
Can I use this for existing legacy Laravel codebases? +
Yes. When refactoring legacy code, call the tool to validate each change against excellence standards. The tool catches the same patterns regardless of whether you're writing new code or improving old code. Start with the most critical pivot: enable Model::preventLazyLoading() to surface all N+1 issues, then progressively extract logic from fat controllers into Services, add FormRequests, and define $fillable.
How does the `validate_laravel_excellence` tool check for proper authorization? +
It enforces that authorization logic lives in dedicated Policies and Middleware. The Prover rejects code where checks are implemented using inline 'if' statements or manual guards within a controller method, forcing separation of concerns.
Does Laravel Excellence Prover handle multi-model data integrity? +
Yes, it verifies that any sequence of database writes affecting multiple models uses DB::transaction(). This guarantees atomicity, preventing partial failures if one step in the process fails.
How does the tool ensure clean input handling when processing form data? +
The Prover mandates using FormRequests for all incoming data. It forces you to rely on $request->validated() instead of passing raw data via $request->all(), eliminating mass assignment risks at the source.
What happens if I try to use a non-idiomatic pattern? +
The tool is designed to flag any deviation from Laravel's intended patterns, such as using manual validation arrays instead of FormRequests, or calling env() in application code rather than config(). It demands the framework's built solution.
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