Kirby Headless CMS: KQL, REST API Integration & Authentication

Our company is engaged in the development, support and maintenance of sites of any complexity. From simple one-page sites to large-scale cluster systems built on micro services. Experience of developers is confirmed by certificates from vendors.

Development and maintenance of all types of websites:

Informational websites or web applications
Business card websites, landing pages, corporate websites, online catalogs, quizzes, promo websites, blogs, news resources, informational portals, forums, aggregators
E-commerce websites or web applications
Online stores, B2B portals, marketplaces, online exchanges, cashback websites, exchanges, dropshipping platforms, product parsers
Business process management web applications
CRM systems, ERP systems, corporate portals, production management systems, information parsers
Electronic service websites or web applications
Classified ads platforms, online schools, online cinemas, website builders, portals for electronic services, video hosting platforms, thematic portals

These are just some of the technical types of websites we work with, and each of them can have its own specific features and functionality, as well as be customized to meet the specific needs and goals of the client.

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Kirby Headless CMS: KQL, REST API Integration & Authentication
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Kirby Headless CMS: API Setup for Fast Frontend Integration

Clients often complain about slow page loads when using Kirby's direct rendering—response times can reach 2–3 seconds. Switching to a headless architecture reduces TTFB to 200–400 ms by caching JSON responses and offloading rendering to the frontend. In one project for an online store on Next.js, after migration, TTFB dropped from 2.3 s to 180 ms, and LCP decreased by 64%. Kirby CMS is ideal for this: it is lightweight, has built-in JSON output, and the official KirbyQL (KQL) plugin. However, setting up the API for production requires attention to detail: authentication, CORS, query optimization. We help you quickly and reliably turn Kirby into a headless backend ready for integration with React, Next.js, or Vue.

Built-in Content Representations

Kirby can output content in JSON via .json.php files in templates. Simply add a blog.json.php file and access /blog.json:

// site/templates/blog.json.php
$kirby->response()->json();

echo json_encode([
    'title' => $page->title()->value(),
    'pages' => $page->children()
        ->listed()
        ->filterBy('status', 'published')
        ->sortBy('date', 'desc')
        ->map(fn($post) => [
            'id'      => $post->id(),
            'title'   => $post->title()->value(),
            'slug'    => $post->slug(),
            'url'     => $post->url(),
            'date'    => $post->date()->toDate('Y-m-d'),
            'excerpt' => $post->excerpt()->value(),
            'cover'   => $post->cover()->toFile()?->url(),
        ])
        ->values(),
]);

This method is simple but not suitable for complex queries with filtering and pagination. For a more flexible approach, use KQL or custom routes.

How to Choose Between KQL and REST?

Criteria KQL REST
Query flexibility High (field selection, relations) Low (fixed output)
Setup complexity Medium (requires plugin) Low (built-in routes)
Performance Optimal (only needed data) Redundant (may return extra)
Typical use case Complex frontend applications Simple blogs or microservices

KQL can reduce response size by 3–5 times compared to REST, which is especially important for large datasets or slow mobile networks. Switching to KQL cuts data transfer by 3–5 times, reducing CDN costs by an average of 40%.

KirbyQL — GraphQL-like API

Install the KQL plugin via Composer: composer require getkirby/kql. Then send POST requests to /api/query. Example request to fetch posts with pagination and relations:

// Request to /api/query
const response = await fetch(`${KIRBY_URL}/api/query`, {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': `Basic ${btoa(`${KIRBY_EMAIL}:${KIRBY_PASSWORD}`)}`,
  },
  body: JSON.stringify({
    query: {
      pages: {
        query: 'page("blog").children.listed.sortBy("date", "desc").paginate(12)',
        select: {
          id: true,
          title: true,
          slug: true,
          url: true,
          date: 'page.date.toDate("Y-m-d")',
          excerpt: true,
          cover: {
            query: 'page.cover.toFile',
            select: { url: true, width: true, height: true, alt: true },
          },
          categories: {
            query: 'page.categories.toPages',
            select: { title: true, slug: true, url: true },
          },
        },
        pagination: { page: 1, limit: 12 },
      },
    },
  }),
});

KQL is convenient because you request only the needed fields—reducing response size and speeding up the frontend. API performance increases by 40% with proper caching setup using HTTP Cache-Control headers. The official Kirby KQL documentation contains a full syntax description.

How to Set Up API Authentication?

Security is critical. In Kirby's config, enable basic authentication and CORS. For additional protection, configure rate limiting and an IP whitelist if the API is only accessible from your infrastructure:

// site/config/config.php
return [
  'api' => [
    'allowInsecure' => false,
    'basicAuth' => true,
    'cors' => true,
  ],
  'api.cors' => [
    'allowMethods' => 'GET, POST, OPTIONS',
    'allowOrigin'  => env('FRONTEND_URL', '*'),
    'allowHeaders' => 'Authorization, Content-Type',
    'maxAge'       => '300',
  ],
  'routes' => [
    [
      'pattern' => 'api/v1/blog',
      'action'  => function () {
        return Response::json([
          'posts' => page('blog')
            ->children()
            ->listed()
            ->sortBy('date', 'desc')
            ->toArray(fn($p) => [
              'title'   => $p->title()->value(),
              'slug'    => $p->slug(),
              'url'     => $p->url(),
              'date'    => $p->date()->toDate('Y-m-d'),
              'excerpt' => $p->excerpt()->value(),
            ]),
        ]);
      },
      'method' => 'GET',
    ],
    [
      'pattern' => 'api/v1/blog/(:any)',
      'action'  => function (string $slug) {
        $post = page('blog/' . $slug);
        if (!$post) return Response::json(['error' => 'Not found'], 404);
        return Response::json([
          'title'   => $post->title()->value(),
          'content' => $post->text()->kirbytext()->value(),
          'date'    => $post->date()->toDate('Y-m-d'),
        ]);
      },
      'method' => 'GET',
    ],
  ],
];

For production, create a read-only user with the api role. Store the password in environment variables. Compare authentication methods:

Method Complexity Security Recommendation
Basic Auth Low Medium (over HTTPS) Small projects
JWT Medium High Production
API keys Low High (with limited permissions) Microservices

Custom API Routes

If KQL seems overkill, you can define your own REST endpoints (example above in the config block). Custom routes give you full control over the response format and logic.

Next.js Integration

To connect Kirby to Next.js, use KQL. Create a query utility. React Server Components are especially efficient—they allow server-side requests and pass ready JSON to the client without additional requests:

// lib/kirby.ts
const KQL_ENDPOINT = `${process.env.KIRBY_URL}/api/query`;
const AUTH = Buffer.from(`${process.env.KIRBY_API_USER}:${process.env.KIRBY_API_PASSWORD}`).toString('base64');

export async function kqlQuery(query: object) {
  const res = await fetch(KQL_ENDPOINT, {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      'Authorization': `Basic ${AUTH}`,
    },
    body: JSON.stringify({ query }),
    next: { revalidate: 3600 },
  });
  return res.json();
}

Now you can call kqlQuery in Next.js server components. Caching with revalidate ensures fresh data without performance loss.

What's Included in Headless Kirby Setup?

  • Deploying Kirby and configuring config.php for headless mode
  • Selecting and configuring the API (KQL or REST) with authentication and CORS
  • Creating a read-only user for the API
  • API documentation (endpoints, request examples)
  • Integration with your frontend (React, Next.js, Vue)
  • Performance and security testing
  • Training your team on using the API (1 hour online)

Timelines and Experience

Basic headless Kirby setup takes 2 to 4 days, depending on project complexity. Cost is calculated individually. Our team has over 8 years of experience with Kirby and more than 15 implemented headless projects. We guarantee stable API operation and complete documentation. Budget savings compared to alternatives reach up to 30% due to Kirby's lightweight architecture. Contact us to discuss your project. Get a consultation on Kirby API setup. Reach out, and we'll turn your Kirby into a powerful headless backend.

API Development with REST, GraphQL, WebSocket, and tRPC

A client comes to us with a Postman collection of 200 endpoints and says: 'Everything works, but the frontend is slow.' We open the Network tab — 47 sequential requests to load one dashboard page. Each one waits for the previous. This is not a server speed issue — it's an API architecture problem. With 10 years on the market, we've redesigned dozens of such integrations, and we guarantee: the right protocol and contract solve the problem at its root.

When REST stops being enough

REST works well for simple CRUD operations. But as soon as a mobile app appears alongside the web interface, over-fetching begins: the mobile app requests /api/users/123 and gets a 4KB object, but only needs name and avatar. Multiply that by a list of 50 users — 200KB traffic instead of 8KB.

GraphQL solves this with selection sets. The client describes exactly the fields it needs, and the server returns only those. On a project with React Native + Next.js, we migrated from REST to Apollo Server: payload size on the main screen dropped from 340KB to 28KB — a 92% traffic savings. Our certified engineers confirm: the typical pain when adopting GraphQL is N+1 query. A resolver for the author field on a post calls SELECT * FROM users WHERE id = ? for each post in the list. On a page with 20 posts — 21 database queries. Solved with DataLoader — it batches queries and turns them into one SELECT * FROM users WHERE id IN (...).

What is tRPC and how is it better than REST/GraphQL?

If the entire stack is TypeScript (Next.js + Node/Bun), tRPC removes a whole layer of problems. You define a procedure on the server — the client gets full type-safety automatically, without code generation and without Swagger. Renamed a field in the Zod schema — TypeScript highlights all places on the frontend where it's used. tRPC reduces code by 2 times compared to REST + Swagger + openapi-typescript: no need to maintain a separate specification and generate types — everything is inferred from runtime validators. However, tRPC is not suitable if the API is consumed by third-party clients or mobile apps in other languages — in such cases we use GraphQL or REST with OpenAPI specification.

WebSocket and real-time: when SSE, when WS?

HTTP polling every 5 seconds is an illusion of real-time with up to 5 seconds delay and useless server load. For chats, live notifications, collaborative editing — WebSocket or Server-Sent Events. SSE is a one-way stream from server to client, works over ordinary HTTP, automatically reconnects. Suitable for notifications, data streaming, progress bars. WebSocket is bidirectional, needed for chats and collaborative features. Experience shows: 80% of 'real-time' tasks are solved with SSE, not WebSocket — fewer infrastructure complexities.

A typical mistake: opening a WebSocket connection for each page component. On one project, the dashboard opened 12 parallel WS connections. The correct approach is one connection manager at the application level, subscriptions through it. In our work results, we always transfer the connection scheme and a ready solution.

Protocol Typing Over-fetching Versioning Real-time
REST Weak (OpenAPI) Yes URL / Header Polling
GraphQL Strong (SDL) No Deprecation Subscriptions
tRPC Full (TypeScript) No TypeScript checks Subscriptions (optional)

Swagger / OpenAPI as a contract

Documentation written after the fact becomes outdated the day after release. We write the OpenAPI 3.1 specification before development starts; it becomes the contract between frontend and backend. The frontend generates types via openapi-typescript, the backend validates incoming data using generated schemas. Contract deviation from implementation is caught on CI, not during review. For Laravel — l5-swagger or dedoc/scramble. For Node.js — @fastify/swagger or Zod + zod-to-openapi.

How to properly authenticate an API?

JWT with long-lived access tokens without rotation is a source of problems when compromised. The correct scheme: access token for 15 minutes, refresh token for 30 days with rotation on each use. Refresh token stored in an httpOnly cookie, access token in memory (not in localStorage). For inter-service communication — API Keys with scope limitations or mTLS. OAuth 2.0 with PKCE for public clients (SPA, mobile).

How to handle versioning and backward compatibility?

Breaking changes in an API without versioning break clients. Three approaches we use in projects:

Method Example When to use
URL versioning /api/v2/ REST API with long-term legacy support
Header versioning Accept: application/vnd.api+json;version=2 Minimal URL changes
Evolutionary (deprecation) Adding fields, GraphQL deprecated directive For GraphQL — smooth field removal

We guarantee backward compatibility through automated checks (oasdiff) on CI.

How we develop APIs: step-by-step plan

  1. Analysis — audit of current integrations, data schema compilation, protocol selection (REST/GraphQL/tRPC/WebSocket).
  2. Contract design — OpenAPI or SDL (GraphQL) before the first line of code.
  3. Development — implementation per contract, unit tests for each endpoint.
  4. Load testing — k6: 500 virtual users, 10 minutes, p95 latency ≤ 200ms.
  5. Deployment — CI/CD with backward compatibility check, automatic documentation publication.
  6. Team training — handover of Postman collection or Playground, connection instructions.
Typical mistakes we eliminate
  • N+1 on queries without DataLoader.
  • No rate limiting — DDOS through unauthenticated endpoints.
  • Storing access token in localStorage.
  • Opening multiple WebSocket connections instead of a single connection manager.
  • Documentation not updated after release.

What is included (deliverables)

  • OpenAPI 3.1 specification (or SDL for GraphQL).
  • Generated client types for TypeScript / Dart / Kotlin.
  • Set of automated tests covering all endpoints (unit + integration).
  • Load tests (k6) and report (p50/p95/p99 latency, RPS).
  • Documentation in Swagger UI / Redoc / GraphiQL.
  • Team training (2–4 hour workshop).
  • Support for 30 days after delivery (per contract).

Our experience

  • 10+ years in the API development market.
  • 200+ completed projects (REST, GraphQL, WebSocket, tRPC).
  • 50+ certified engineers (AWS, Kubernetes, API Design).
  • Traffic savings averaging 85% when migrating from REST to GraphQL for mobile apps.
  • 100% backward compatibility — not a single broken client in the last 3 years.

Timeline

API development for a typical SaaS project with 30–50 endpoints: from 3 to 8 weeks depending on business logic complexity and number of external integrations. Migration of an existing REST API to GraphQL: from 2 to 6 weeks. Adding a WebSocket layer to an existing backend: from 1 to 3 weeks. Cost is calculated individually after an audit. Get a consultation — contact us to discuss your project.