We built a system that generates production-ready API connectors using specifications, scaffolding, and AI agents. Instead of writing connectors from scratch or dealing with vendor black boxes, you get consistent, testable code you can understand and modify.
First, check the registry: Browse existing connectors at the registry to see if someone already built what you need.
Build a new one if:
Generate a connector scaffold for any API. Here's building a Stripe connector:
You get a complete project structure with src/
, schemas/
, tests/
, docs/
, and examples/
directories, organized for endpoints, file formats, and relational data.
Point any LLM at the system components with this prompt:
The system gives the AI three things:
.claude/AGENTS.md
- 15+ specialized agents that extract schemas, implement resilience patterns, create tests, and generate documentationspecifications/api-connector.mdx
- Production requirements including circuit breakers, rate limiting, retry logic, and error handling standardsregistry/_scaffold/
- Templates with schema organization for endpoints, file formats (CSV/JSON/Parquet), and relational structuresAI agents discover API-specific patterns like idempotency requirements, webhook validation, rate limits, and pagination while implementing production resilience patterns.
Generated connectors include automated tests (defined in api-connector.mdx
):
Each connector improves the system through a two-PR workflow:
Contribute your connector:
Improve the factory (separate PR):
Each connector:
The system learns from every implementation.
The project is at github.com/514-labs/connector-factory. We're building a better way to handle API integration—one connector at a time.
Made by the team at 514 behind Moose with inspiration from shadcn/ui.