Dev

Mock GraphQL Query Generator

Manually writing GraphQL queries and mutations for every test case slows down development and introduces inconsistency across your test suite. This mock GraphQL query generator produces realistic, schema-ready operations for common entities like Users, Products, Orders, and Posts, complete with typed variables, nested field selections, and correct syntax. Whether you need a quick query to paste into Apollo Studio or a batch of mutation fixtures for your resolver tests, the generator gives you a solid starting point in seconds. Each generated operation follows real-world conventions: queries include arguments like `id`, `limit`, and `filter`; mutations carry input variables with appropriate scalar types; and field selections reflect the kind of data those entities actually contain. This makes the output far more useful than a bare-bones template you'd find in a docs page. You can control both the number of operations generated and whether you want queries, mutations, or a mix of both. Generating a larger batch is useful when you need to cover multiple test scenarios at once, such as testing a resolver's behavior across a create, update, and delete sequence without writing each mutation by hand. The output is plain GraphQL syntax, so it drops straight into GraphQL Playground, Insomnia, Postman's GraphQL mode, or a mock server like MSW. Treat each operation as a scaffold: rename fields to match your schema, adjust variable types, and add fragments where your real schema calls for them.

How to Use

  1. Set the count input to how many operations you want, between 1 and 10, based on your testing needs.
  2. Choose an operation type: select 'query' for read-only fetches, 'mutation' for write operations, or 'both' to get a mixed batch.
  3. Click Generate to produce the GraphQL operations, then review the output in the results panel.
  4. Copy individual operations or the full list and paste them into your GraphQL client, test file, or mock server handler.
  5. Edit field names, variable types, and arguments to match your actual schema before running them against a live endpoint.

Use Cases

  • •Seeding Apollo Studio or GraphQL Playground with ready-to-run operations
  • •Generating resolver test fixtures covering create, update, and delete flows
  • •Scaffolding frontend hooks before a real backend schema is finalized
  • •Populating Postman collections with GraphQL request bodies quickly
  • •Teaching a team the difference between queries and mutations with real examples
  • •Generating MSW handlers that mirror realistic GraphQL operation shapes
  • •Prototyping data-fetching logic for a new feature without writing boilerplate
  • •Creating sample operations to document your API in a README or wiki

Tips

  • →Generate 'both' types and use the query as the read-back step to verify data after running the mutation in your test.
  • →Paste the output into Apollo Studio's sandbox with schema introspection enabled to instantly see which fields need renaming.
  • →When scaffolding MSW handlers, generate five or six operations at once to cover multiple entity types and reduce repetitive handler setup.
  • →For teaching purposes, generate one query and one mutation side by side so learners can see the structural difference directly.
  • →Mutations are most useful as fixtures when you strip them down to the minimal field selection you actually assert on in the test.
  • →If your schema uses custom scalar types like `DateTime` or `UUID`, search the generated output for `String` or `ID` and replace them accordingly.

FAQ

What is the difference between a GraphQL query and a mutation?

A query is a read-only operation that fetches data from the server without changing anything. A mutation is a write operation used to create, update, or delete data. GraphQL keeps them separate so clients and servers can make assumptions about side effects — queries can be cached or parallelized, mutations are executed in sequence.

Can I paste these generated queries directly into my app?

You can paste them as a starting point, but you will need to align field names, types, and arguments with your actual schema. The generated operations use common conventions and plausible field names, so in many cases only minor edits are needed. Use your schema's introspection output or docs tab to verify compatibility.

How do I test GraphQL queries without a running backend?

MSW (Mock Service Worker) lets you intercept GraphQL requests in the browser or Node and return mock data. For a lightweight server, `json-graphql-server` spins up a GraphQL API from a JSON file in one command. Apollo Studio's sandbox mode also lets you run queries against any public or CORS-enabled endpoint without setup.

What does a GraphQL mutation with variables look like?

A mutation with variables declares the variable names and types in the operation signature, then passes them into the mutation arguments. For example: `mutation CreateUser($input: CreateUserInput!) { createUser(input: $input) { id name } }`. The variables are sent as a separate JSON object alongside the query string in the request body.

How many operations should I generate for a test suite?

For unit-testing individual resolvers, one or two targeted operations per resolver is usually enough. For integration or end-to-end tests, generating a batch that covers a full CRUD cycle (create, read, update, delete) for each entity gives better coverage. Use the count input to generate three to five operations at once and pick the ones that fit your scenario.

Do the generated queries include fragments or directives?

The generator focuses on inline field selections rather than fragments, which makes the output immediately usable without additional setup. If your real queries use fragments for shared fields across operations, you can extract the repeated selections from the generated output into a named fragment and compose them manually.

What GraphQL clients can consume these operations?

Any standard GraphQL client works: Apollo Client, urql, Relay, React Query with a GraphQL fetcher, or plain `fetch`. The generated syntax conforms to the GraphQL specification, so it is not client-specific. For Relay specifically, you may need to add `@relay` directives and follow its naming conventions for auto-generated types.

How do I use generated mutations with input types?

Copy the mutation, then create a matching variables JSON object where the key matches the variable name declared in the operation. In Apollo Studio or Playground, paste the mutation into the query panel and the variables JSON into the variables panel at the bottom. In code, pass the variables object as the second argument to your client's mutate or useMutation call.