ConfigGenerator

GraphQL Schema Generator

Generate GraphQL schemas with types, queries, mutations, inputs, enums, scalars, examples, and documentation-ready SDL.

Output:A ready-to-use configuration file for GraphQL Schema with best practices applied.

Schema Design

e.g., User, Product, Post

- Include standard Create/Update/Delete operations with Input types and Payloads.

Data & Security

- Scaffold role-based authorization directly in the schema with USER, ADMIN, GUEST roles.

Advanced Features

- Scaffold real-time websocket subscription endpoints for live updates.
- Outputs example queries, mutations, and API documentation.
schema.graphql

Syntax highlighting disabled for large output (170 lines).

"""
An ISO 8601-encoded datetime string.
"""
scalar DateTime

"""
A unique identifier.
"""
scalar JSON


"""
Directive to enforce role-based access control on fields and types.
"""
directive @auth(requires: Role = USER) on OBJECT | FIELD_DEFINITION

"""
Available roles for authorization.
"""
enum Role {
  """Full system access"""
  ADMIN
  """Standard user access"""
  USER
  """Read-only access"""
  GUEST
}


"""
Information about pagination in a connection.
"""
type PageInfo {
  """Whether there are more items after this page."""
  hasNextPage: Boolean!
  """Whether there are more items before this page."""
  hasPreviousPage: Boolean!
  """Cursor pointing to the first item in the page."""
  startCursor: String
  """Cursor pointing to the last item in the page."""
  endCursor: String
}

"""
Standard error payload for mutations.
"""
type UserError {
  """Human-readable error message."""
  message: String!
  """Which input field caused the error, if applicable."""
  field: [String!]
}

"""
The primary User entity.
"""
type User {
  """Unique identifier for the User."""
  id: ID!
  """Full name of the User."""
  name: String!
  """Email address of the User.""" @auth(requires: ADMIN)
  """Role assigned to the User."""
  role: UserRole!
  """When the User was created."""
  createdAt: DateTime!
  """When the User was last updated."""
  updatedAt: DateTime!
}

"""
Role options for User.
"""
enum UserRole {
  ADMIN
  USER
  VIEWER
}

"""
A connection to a list of users.
"""
type UserConnection {
  """List of edges containing user nodes."""
  edges: [UserEdge!]!
  """Pagination information."""
  pageInfo: PageInfo!
  """Total number of users matching the query."""
  totalCount: Int!
}

"""
An edge in a User connection.
"""
type UserEdge {
  """The cursor for this edge."""
  cursor: String!
  """The User node."""
  node: User
}

type Query {
  """
  Fetch a single User by ID.
  """
  user(id: ID!): User @auth(requires: USER)

  """
  Fetch a paginated list of users using cursor-based pagination.
  """
  users(
    """Number of items to return."""
    first: Int
    """Cursor to start after."""
    after: String
    """Number of items from the end."""
    last: Int
    """Cursor to end before."""
    before: String
    """Filter by role."""
    role: UserRole
    """Search by name or email."""
    search: String
  ): UserConnection! @auth(requires: USER)
}

input CreateUserInput {
  """Full name of the User."""
  name: String!
  """Email address of the User."""
  email: String!
  """Role to assign (defaults to USER)."""
  role: UserRole
}

input UpdateUserInput {
  """Updated name."""
  name: String
  """Updated email."""
  email: String
  """Updated role."""
  role: UserRole
}

"""
Payload returned by user mutations.
"""
type UserPayload {
  """The affected User, or null if the operation failed."""
  user: User
  """Any validation or business logic errors."""
  userErrors: [UserError!]!
}

type Mutation {
  """
  Create a new User.
  """
  userCreate(input: CreateUserInput!): UserPayload! @auth(requires: ADMIN)
  
  """
  Update an existing User.
  """
  userUpdate(id: ID!, input: UpdateUserInput!): UserPayload! @auth(requires: USER)
  
  """
  Delete a User.
  """
  userDelete(id: ID!): UserPayload! @auth(requires: ADMIN)
}

Quick Summary

Use a GraphQL schema when you need to define types, queries, mutations, inputs, enums, and custom scalars for a GraphQL API. A GraphQL Schema Generator provides a visual interface to build documentation-ready SDL (Schema Definition Language) files.

What is this tool?

A GraphQL Schema Generator helps developers quickly create the foundational schema.graphql file for their API. Instead of hand-typing braces and exclamation marks to define non-null fields, you can construct your data graph visually.

By generating a clean, strictly-typed schema, you can instantly feed the output into a graphql schema documentation generator (like Graphdoc), or into the GraphQL Codegen CLI to automatically generate your backend resolvers and frontend types.

How to Use This Tool

  1. Define Custom TypesCreate Object Types (e.g., User, Product) and assign strongly-typed fields to them.
  2. Set Up QueriesAdd fields to the Root Query type to allow clients to fetch data.
  3. Configure MutationsAdd fields to the Root Mutation type to allow clients to create, update, or delete data.
  4. Create Input TypesDefine Input types for complex arguments passed into your mutations.
  5. Export SchemaDownload the schema.graphql file and integrate it into your Apollo, Relay, or native GraphQL server.

What This Tool Generates

  • schema.graphql — The standard GraphQL Schema Definition Language (SDL) file containing all your types, queries, and mutations.

Example Output Explanation

A standard GraphQL SDL example output:

type User {
  id: ID!
  username: String!
  email: String
  isActive: Boolean!
}

input CreateUserInput {
  username: String!
  email: String
}

type Query {
  getUser(id: ID!): User
  listUsers: [User!]!
}

type Mutation {
  createUser(input: CreateUserInput!): User!
}

Best Practices

  • Use Input types (e.g., CreateUserInput) for mutations rather than passing long lists of scalar arguments.
  • Always use the ID! scalar for primary keys instead of Int or String to ensure caching works correctly in clients like Apollo.
  • Add comments (using """ block quotes) above your types and fields so they appear beautifully in a graphql schema documentation generator.
  • Commit your schema to a graphql schema generator github repo to track changes across your team.

Common Mistakes

  • Forgetting the exclamation mark (!) on fields that should never be null, forcing frontend developers to add unnecessary null checks.
  • Nesting mutations inside other types. Mutations must only exist on the root Mutation type.
  • Using Object Types instead of Input Types as arguments in a mutation. GraphQL strictly requires Input types for arguments.

Security Notes

  • Use GraphQL schema directives (e.g., @auth, @hasRole) directly in your SDL to define access control rules.
  • Do not expose internal database IDs if they can be easily enumerated; use opaque UUIDs.
  • Keep an eye on query depth and complexity. Unlike REST, GraphQL allows clients to request deeply nested data, which can easily cause a Denial of Service (DoS) if not limited.

Testing Instructions

  • Load your generated schema.graphql into an Apollo Server or Express-GraphQL instance.
  • Use GraphQL Playground, Apollo Studio, or GraphiQL to visually explore the schema.
  • Generate test queries to ensure your schema structure allows clients to fetch what they need without excessive round-trips.

Frequently Asked Questions

What is a GraphQL Schema Generator?
A GraphQL Schema Generator is a developer tool that visually constructs the strict type definitions (SDL) required by a GraphQL API, including Queries, Mutations, Inputs, and custom Types.
Can I generate a GraphQL schema online?
Yes, you can use our graphql schema generator online to create your types visually without needing to memorize GraphQL SDL syntax, and export the `.graphql` file directly.
Can I generate GraphQL schema from JSON?
While this specific tool provides a visual builder, the concept of a json to graphql schema generator (or graphql schema generator from json) is common. You can often map JSON data objects mentally into the 'Types' you define here.
Can I generate GraphQL schema from TypeScript?
Yes, if you want to generate graphql schema from typescript code-first (like with TypeGraphQL), you wouldn't use this tool. This tool is designed for the schema-first approach where you generate the SDL file first.
What is GraphQL Codegen CLI?
GraphQL Codegen CLI is a popular tool that takes the schema.graphql file you generate here and automatically produces TypeScript types, React Hooks, or Angular services for your frontend.
Can I generate GraphQL queries from a schema?
Yes, once you have the schema, you can use a graphql query generator from schema tool (often built into GraphQL Playgrounds or Apollo Studio) or a graphql query generator online to automatically build test queries.
Can I use this with Java, Python, Kotlin, Spring Boot, or Prisma?
Absolutely. The SDL generated here is universal. You can use it alongside a graphql schema generator java package, spring boot graphql schema generator, graphql kotlin schema generator, graphql schema generator python, or feed it into a prisma graphql schema generator workflow.

How We Keep Your Configs Safe & Valid

Built-in Error Checking

Every file is checked against official rules. We catch missing fields and bad syntax. YAML indentation errors are flagged right away. Kubernetes, Terraform, and Docker specs are all covered. API versions and labels are verified too. You get valid output every time you generate.

100% Private & Local

All tools run in your browser only. Your API keys never leave your machine. We do not use any tracking scripts. No data is sent to any server. Passwords and secrets stay on your device. Crypto operations use the Web Crypto API. Your privacy is fully protected at all times.

Secure Settings by Default

Configs use safe defaults out of the box. Containers run as non-root users. Root filesystems are set to read-only. Dangerous Linux capabilities are dropped. Network policies limit pod-to-pod traffic. TLS 1.3 is enabled for web servers. Security headers are added where needed.

Ready for CI/CD & Git

Output files are ready for your Git repo. Use them with ArgoCD, Flux, or GitHub Actions. Files use clear formatting and comments. Code review is easy for your team. Indentation and key order are consistent. Test in staging before going to production. Every file is clean and well-structured.

Infrastructure as Code

Store configs in Git alongside your code. Terraform modules include typed variables. Backend configs support remote state locking. Outputs work across multiple modules. Ansible playbooks use clear task steps. Chef and Puppet configs are also supported. Every file works with version control tools.

Monitoring & Tracing

Set up Prometheus with auto-discovery rules. Create Grafana dashboards with template variables. Add alerting rules with severity labels. Use OpenTelemetry for trace collection. Forward logs to Loki or Elasticsearch. Connect to Jaeger or Tempo for tracing. Monitor metrics, logs, and traces together.

Container & Docker Safety

Dockerfiles use multi-stage builds for small images. Base images are pinned to exact versions. Dev files are excluded from final images. Health checks are added for orchestrator use. Containers switch to non-root users. Docker Compose uses named volumes and networks. Resource limits are set in deploy configs.

Multiple Output Formats

Export as YAML, JSON, HCL, or TOML. Kubernetes uses YAML with proper separators. Terraform uses HCL with correct escaping. JSON output has consistent indentation. Copy to clipboard with one click. Preview output with syntax highlighting. Line numbers help you review quickly.

Related Tools

Official References