Configure the Timely.ai documentation in Cursor to use @Timely.ai in any prompt and get accurate answers about the API.
Cursor has native support for external documentation sources via @Docs. When you add Timely.ai as a Docs source, the editor indexes the pages and makes the content available as context in the chat and Composer windows.
Use @Timely.ai together with @codebase so the model can see both the API documentation and your project’s code:
@Timely.ai @codebase Refactor the src/services/timely.ts fileto use the correct contact creation endpoint.
Questions about HTTP errors
Paste the error directly into the prompt:
@Timely.ai I got this error calling POST /v1/agents:{ "error": "rate_limit_exceeded", "retry_after": 30 }What does this mean and how do I handle it in my code?
Generate integration code
@Timely.ai Generate a TypeScript function that uses fetch tosend a message via POST /v1/conversations/{id}/messageswith automatic retry on 429.
MCP Server support for Cursor is under development. When available, you will be able to add the Timely.ai MCP server in Cursor’s settings and get real-time semantic search without the need for periodic re-indexing.
For now, the @Docs approach covers most use cases. If the returned context seems outdated, force a re-index by clicking the refresh icon next to the Timely.ai entry in Settings.