Tell Claude, Cursor, or any LLM to spin up a mock GraphQL API. They build it, you watch, and the link is in your clipboard before the model finishes its sentence. No login. No config files.
Whether you're typing a one-liner into ChatGPT or wiring up a long-running Cursor session, there's a path. They all hit the same public API and end with a queryable mock.
Tell any LLM to use Mockomat.
No tools to install, no API keys to copy. The capability spec at /.well-known/ai-capabilities.md teaches every LLM how to talk to Mockomat. The model spins up a guest project, builds your schema, and hands back a queryable URL. The guest project lasts 24 hours from the start of its guest session and cannot be moved into an account.
"Create a mock GraphQL API for an e-commerce store with products, customers, and orders. Use Mockomat." Native integration for Claude Desktop, Claude Code, Cursor, Copilot.
mockomat-mcp exposes 10 tools — create_project, list_data_sources, create_table, generate_api, query_data, import_openapi, and more. The session cookie is managed for you. The AI never sees HTTP, just clean tool calls.
# mockomat-mcp — npm package coming soon Have a Swagger or OpenAPI file? Mockomat reads it.
Attach a spec to your prompt and the LLM sends it to importOpenApiSpec on the public GraphQL API. Tables, attributes, relations, and default operations — all generated from your existing API contract. Iterate on the model from there.
POST /public-graphql
importOpenApiSpec(input: { specContent, selectedSchemas }) Modelling decisions normally take days of meetings — the PM disagrees with the architect, the dev is in the dark, the tester is waiting for a contract. On Mockomat, the AI builds the schema in real time and your whole team watches the same board. Tables appear. Attributes bind. Relations connect. Everyone sees the same picture, at the same moment.
mockomat-mcp speaks the Model Context Protocol over STDIO. The npm package is coming soon — once it's out, add it once to Claude Desktop, Claude Code, or Cursor and your AI gains a new toolbox. Until then, any LLM can build mock APIs through the capability spec.
# mockomat-mcp — npm package coming soonThe free entry points are wide enough for any prompt to succeed. Production workloads — CI integration, public demos, AI agents in the loop — live on a paid plan with API-key auth and higher quotas.