webiny-js
MCP ServerFreeOpen-source, self-hosted CMS platform on AWS serverless (Lambda, DynamoDB, S3). TypeScript framework with multi-tenancy, lifecycle hooks, GraphQL API, and AI-assisted development via MCP server. Built for developers at large organizations.
Capabilities14 decomposed
serverless-cms-graphql-api-generation
Medium confidenceAutomatically generates a fully-typed GraphQL API from content model definitions, with built-in multi-tenancy isolation, DynamoDB/Elasticsearch storage abstraction, and lifecycle hooks for custom business logic. Uses a plugin-based schema builder that compiles TypeScript content models into executable GraphQL resolvers with automatic CRUD operations, filtering, sorting, and pagination without manual resolver code.
Uses a plugin-based dependency injection container (not decorator-only) to compose GraphQL resolvers with lifecycle hooks (beforeCreate, afterUpdate, etc.) that execute within the same Lambda context, enabling transactional business logic without external orchestration
Generates type-safe GraphQL with built-in multi-tenancy isolation and lifecycle hooks in a single Lambda function, whereas Hasura or PostGraphile require separate database schema management and external trigger systems
multi-tenant-content-isolation-and-access-control
Medium confidenceImplements tenant isolation at the storage layer using DynamoDB partition keys and query filters, combined with role-based access control (RBAC) evaluated at the GraphQL resolver level. Each tenant's data is logically isolated through automatic query filtering based on authenticated tenant context, with support for custom permission rules via lifecycle hooks that intercept read/write operations before database execution.
Combines DynamoDB partition key isolation (tenant ID as GSI prefix) with GraphQL resolver-level permission evaluation, allowing both database-level filtering and application-level RBAC without separate authorization service
Enforces tenant isolation at the storage layer (DynamoDB queries) rather than application layer only, preventing accidental data leakage from misconfigured resolvers, unlike Strapi or Contentful which rely on API-layer checks
authentication-provider-integration-with-multiple-backends
Medium confidenceSupports multiple authentication backends (AWS Cognito, Auth0, Okta) through pluggable authentication adapters that handle login, token validation, and user provisioning. Each adapter implements a standard interface for extracting user identity and tenant context from authentication tokens, allowing the CMS to work with different identity providers without code changes. Includes built-in admin user management for self-hosted deployments.
Provides pluggable authentication adapters that implement a standard interface for token validation and user context extraction, allowing different identity providers to be swapped without modifying CMS code
Supports multiple authentication backends through pluggable adapters, whereas Contentful requires separate identity management and Strapi has limited provider support
local-development-watch-mode-with-hot-reload
Medium confidenceEnables local development with watch mode that monitors source file changes, recompiles affected packages, and hot-reloads Lambda functions without full restart. The watch mode uses file system watchers to detect changes, triggers incremental builds, and updates running Lambda instances with new code, allowing developers to iterate quickly without manual deployment steps.
Combines file system watchers with incremental compilation and Lambda function hot-reload, allowing developers to iterate on CMS code locally without full redeployment while maintaining AWS Lambda semantics
Provides local development with hot-reload for Lambda functions, whereas traditional serverless development requires full redeploy on each change; faster feedback loop than cloud-based development
ci-cd-pipeline-with-automated-testing-and-deployment
Medium confidenceImplements a CI/CD pipeline (GitHub Actions or similar) that runs on each commit, executing unit tests, E2E tests (Cypress), building the monorepo, and deploying to AWS via Pulumi. The pipeline uses branch workflows (feature branches, staging, production) with automated testing gates before deployment, and includes build caching to speed up repeated builds.
Integrates Pulumi infrastructure-as-code with CI/CD pipeline, allowing infrastructure and application changes to be tested and deployed together with automated gates and rollback capabilities
Provides integrated CI/CD with infrastructure-as-code and automated testing gates, whereas manual deployment or basic CI systems lack infrastructure versioning and rollback capabilities
content-versioning-and-revision-history
Medium confidenceAutomatically tracks content entry revisions in DynamoDB, storing snapshots of content at each modification with metadata (timestamp, user, change summary). Provides GraphQL API to query revision history, compare versions, and restore previous versions. Revisions are immutable and include full content snapshot, enabling audit trails and recovery from accidental deletions.
Stores immutable revision snapshots in DynamoDB with automatic metadata tracking, enabling full audit trails and version recovery without external versioning systems
Provides automatic revision history with audit trails, whereas Contentful requires separate versioning API calls and Strapi has limited revision support
plugin-based-extensibility-system
Medium confidenceProvides a dependency injection container and plugin registry that allows developers to hook into core lifecycle events (beforeCreate, afterUpdate, onDelete, etc.) and extend functionality without modifying core code. Plugins are registered via a centralized configuration, resolved at build time, and injected into resolvers, allowing custom validation, transformation, webhooks, and external service integration at predictable extension points throughout the CMS lifecycle.
Uses a compile-time dependency injection container (similar to NestJS) that resolves plugin dependencies and injects them into resolvers, enabling type-safe plugin composition without runtime reflection or service locator anti-patterns
Provides structured lifecycle hooks with dependency injection, whereas Contentful's plugin system relies on webhooks (async, eventual consistency) and Strapi uses middleware patterns (less granular control over content operations)
admin-ui-form-builder-with-field-plugins
Medium confidenceProvides a React-based form builder that generates admin UI forms from content model definitions, with support for custom field types via a plugin system. Forms are built using a declarative field configuration that maps to GraphQL mutations, with built-in validation, error handling, and state management. Custom field plugins can extend the form builder with domain-specific inputs (rich text, media picker, relationship selector) without modifying core form logic.
Generates form components from content model decorators and composes them with field plugins via a plugin registry, enabling type-safe form generation with custom field support without manual React component wiring
Generates type-safe forms from content models with plugin-based field extensibility, whereas Strapi requires manual form configuration in JSON and Contentful uses a separate UI builder with limited customization
infrastructure-as-code-deployment-via-pulumi
Medium confidenceAbstracts AWS infrastructure provisioning through Pulumi TypeScript, allowing developers to define Lambda functions, DynamoDB tables, S3 buckets, and API Gateway endpoints as code. The deployment process compiles TypeScript backend code, bundles it with dependencies, and deploys to AWS Lambda with automatic environment variable injection, IAM role creation, and infrastructure state management through Pulumi's state backend.
Uses Pulumi's TypeScript SDK to define infrastructure as strongly-typed code with automatic resource dependency resolution, enabling infrastructure and application code to share the same type system and build pipeline
Defines infrastructure in TypeScript alongside application code with automatic dependency management, whereas CloudFormation requires YAML and Terraform requires HCL, reducing context switching for TypeScript teams
headless-cms-content-entry-lifecycle-management
Medium confidenceManages content entry state transitions (draft → review → published → archived) with automatic timestamp tracking, version history, and lifecycle hooks at each transition. Implements a state machine pattern where each content entry has explicit status fields, and GraphQL mutations enforce valid state transitions while triggering before/after hooks for custom logic (notifications, webhooks, cache invalidation).
Implements content state transitions as explicit GraphQL mutations with lifecycle hooks, allowing custom business logic (notifications, cache invalidation) to execute within the same Lambda context as the state change, ensuring consistency
Provides explicit state machine transitions with lifecycle hooks in a single Lambda invocation, whereas Contentful uses webhook-based workflows (eventual consistency) and Strapi requires custom middleware for state validation
page-builder-with-drag-drop-admin-interface
Medium confidenceProvides a React-based visual page builder in the admin UI that allows non-technical users to compose pages from pre-built components (hero, grid, form, etc.) without writing code. Pages are stored as JSON component trees in DynamoDB, with a GraphQL API for CRUD operations. The builder supports component property editing, responsive preview, and custom component registration via plugins.
Stores pages as JSON component trees with a plugin-based component registry, allowing custom components to be registered and composed without modifying the page builder core, enabling extensibility for domain-specific components
Provides a visual page builder with plugin-based component extensibility, whereas Webflow is proprietary and Framer requires design skills; Webiny's builder integrates with the CMS GraphQL API for dynamic content
file-manager-with-s3-storage-abstraction
Medium confidenceAbstracts file uploads and storage through an S3-backed file manager with a GraphQL API for CRUD operations. Files are stored in S3 with metadata (name, size, MIME type, upload timestamp) tracked in DynamoDB. The file manager supports organizing files into folders, generating signed URLs for secure downloads, and integrating with the page builder for media selection.
Provides a GraphQL API for file operations with S3 storage abstraction, allowing file metadata to be queried and filtered via GraphQL without direct S3 API calls, and integrating with the page builder for media selection
Abstracts S3 storage behind a GraphQL API with folder organization and signed URL generation, whereas Contentful requires separate media asset management and Strapi uses local filesystem storage (not scalable for serverless)
monorepo-build-system-with-incremental-compilation
Medium confidenceManages a large TypeScript monorepo with 50+ packages using a custom build system that performs incremental compilation, caching, and bundling. The build system detects changed packages, recompiles only affected dependencies, and bundles Lambda functions with tree-shaking to minimize deployment size. Uses Rspack (Rust-based bundler) for fast builds and supports watch mode for local development.
Uses Rspack (Rust-based bundler) with custom incremental compilation logic that tracks package dependencies and only rebuilds affected packages, combined with tree-shaking to minimize Lambda function bundle sizes
Provides incremental compilation and caching for large monorepos with Rspack bundling, whereas Lerna/Nx require separate configuration and Turborepo has less fine-grained control over bundling
mcp-server-for-ai-assisted-development
Medium confidenceExposes Webiny's CMS capabilities through an MCP (Model Context Protocol) server, allowing AI assistants (Claude, etc.) to read/write content, query the GraphQL API, and manage files programmatically. The MCP server implements standard tools (list_content, create_entry, update_entry, delete_entry, query_graphql) that map to GraphQL mutations and queries, enabling AI agents to assist with content creation, bulk operations, and CMS administration.
Implements MCP server tools that map directly to GraphQL mutations and queries, allowing AI assistants to interact with Webiny's CMS API through a standardized tool interface without custom integration code
Provides MCP tools for CMS operations, enabling AI assistants to manage content natively, whereas other CMS platforms require custom API integrations or plugins for AI interaction
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓teams building headless CMS platforms on AWS Lambda
- ✓developers migrating from REST to GraphQL with multi-tenant requirements
- ✓organizations needing white-label CMS with custom business logic hooks
- ✓SaaS platforms offering white-label CMS to multiple customers
- ✓enterprises with strict data residency and compliance requirements
- ✓teams implementing fine-grained permission models (role + resource + action)
- ✓enterprises with existing identity infrastructure (Cognito, Auth0, Okta)
- ✓teams building white-label CMS with customer-managed authentication
Known Limitations
- ⚠GraphQL schema generation is compile-time only — runtime schema changes require redeployment
- ⚠Complex nested queries may hit Lambda cold-start latency (100-500ms initial invocation)
- ⚠Elasticsearch integration adds ~50-200ms latency for full-text search queries vs simple DynamoDB lookups
- ⚠No built-in subscription support — real-time updates require separate WebSocket infrastructure
- ⚠Tenant context must be extracted from JWT or authentication header — no automatic detection
- ⚠Cross-tenant queries or bulk operations require explicit permission checks in custom hooks
Requirements
Input / Output
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Repository Details
Last commit: Apr 22, 2026
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Open-source, self-hosted CMS platform on AWS serverless (Lambda, DynamoDB, S3). TypeScript framework with multi-tenancy, lifecycle hooks, GraphQL API, and AI-assisted development via MCP server. Built for developers at large organizations.
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