AI Prompts for Cursor for API Integration
20 tested prompts across 4 stages. Works with ChatGPT, Claude, and Gemini.
Getting Cursor for API Integration right takes more than a single prompt. This 4-stage guide covers Plan the integration, Build the integration, Test the integration, and more, breaking the whole process into focused steps where each prompt builds on the last. Build, debug, and maintain API integrations faster using Cursor to connect your application to third-party services. Every prompt is tested and runs in ChatGPT, Claude, and Gemini.
Stage 1
Plan the integration
Start here to understand the API and map out your integration approach.
Understand an API
I need to integrate with the [API NAME] API. Help me understand: the authentication method, rate limits, key endpoints I will need, and any common gotchas. Here is the documentation URL or key details: [PASTE OR DESCRIBE].
Design the integration layer
I need to integrate [API NAME] into my [LANGUAGE/FRAMEWORK] app. Design an abstraction layer for this API: a client class or module that wraps the API calls, handles auth, retries, and exposes clean methods to the rest of my app.
Choose HTTP client
I'm building an API integration in [LANGUAGE/FRAMEWORK]. Should I use [FETCH / AXIOS / GOT / HTTPX / REQUESTS / OTHER]? Compare the options for my use case: [DESCRIBE NEEDS: STREAMING, RETRIES, INTERCEPTORS, ETC.].
Map API to data model
The [API NAME] API returns this response shape: [PASTE EXAMPLE RESPONSE]. Map this to my application's data model: [DESCRIBE YOUR MODEL]. Write the transformation function.
Plan error handling
Design an error handling strategy for my integration with [API NAME]. Cover: HTTP error codes (4xx, 5xx), rate limiting (429), network timeouts, malformed responses, and how to surface these errors to my application.
Stage 2
Build the integration
These prompts help you write clean, well-structured integration code.
Write authentication code
Write the authentication setup for [API NAME] using [OAUTH 2.0 / API KEY / JWT / OTHER]. Include: obtaining credentials, attaching them to requests, refreshing tokens if needed, and storing credentials securely.
Write API client class
Write a [LANGUAGE] API client class for [API NAME] that: initializes with credentials, makes requests to [LIST KEY ENDPOINTS], handles authentication, retries on failure, and returns typed responses.
Handle pagination
Write code to handle paginated responses from [API NAME]. The API paginates using [CURSOR / OFFSET / PAGE NUMBER / LINK HEADERS]. Fetch all pages and return a complete result or stream results as they arrive.
Handle webhooks
Write a webhook handler for [API NAME] that: validates the webhook signature, parses the event payload, routes to the correct handler based on event type, and returns the correct HTTP response.
Add retry logic
Add retry logic to this API client: [PASTE CLIENT CODE]. Use exponential backoff with jitter. Retry on: 429 (rate limit), 5xx (server errors), and network timeouts. Don't retry 4xx errors.
Stage 3
Test the integration
Use these prompts to verify your integration handles happy paths and failures correctly.
Mock the API for tests
Write tests for this API integration: [PASTE CLIENT CODE]. Mock the HTTP calls so tests don't hit the real API. Test: successful responses, error responses, rate limiting, and pagination.
Test error scenarios
Write tests for error scenarios in this API integration: [PASTE CLIENT CODE]. Test: authentication failures, rate limit responses, malformed JSON, network timeouts, and API downtime.
Write integration tests
Write integration tests that hit the [API NAME] sandbox/test environment. These should test real API behavior. What test credentials or fixtures do I need, and what scenarios should I cover?
Debug a failing request
My request to [API NAME] is failing with: [ERROR / UNEXPECTED RESPONSE]. Here is my request code: [PASTE CODE]. What is wrong? Log the full request (headers, body, URL) so I can compare to the API docs.
Validate response shapes
Add response validation to this API client using [ZOD / TYPESCRIPT TYPES / OTHER]. Validate that the response matches the expected shape and throw a descriptive error if it does not.
Stage 4
Maintain the integration
These prompts help you keep your integration working as APIs change and requirements evolve.
Handle API version changes
The [API NAME] API is releasing a new version: [DESCRIBE CHANGES]. What parts of my integration need to change? [PASTE CURRENT CLIENT CODE]. Help me migrate while maintaining backward compatibility.
Monitor API health
Add monitoring to this API integration: [PASTE CODE]. Log request latency, error rates, and rate limit consumption. What metrics should I track and how do I alert on anomalies?
Add caching
Add caching to this API client to reduce requests and improve performance: [PASTE CODE]. Which endpoints are safe to cache? How long should cache TTLs be? Use [REDIS / IN-MEMORY / OTHER].
Document the integration
Write documentation for this API integration module: [PASTE CODE]. Cover: setup, authentication, available methods with parameters and return types, error handling, and usage examples.
Audit for security
Audit this API integration for security issues: [PASTE CODE]. Check for: exposed credentials, insecure HTTP, missing signature verification on webhooks, and sensitive data in logs.
Frequently asked questions
What is the best pattern for structuring API integrations?+
Create a dedicated client class or module that encapsulates all API calls. The rest of your application should call your client, not the API directly. This makes testing easier (mock your client) and simplifies API version migrations.
How do I handle API rate limits?+
Track rate limit headers (X-RateLimit-Remaining, Retry-After). Implement exponential backoff with jitter for retries. For high-throughput cases, use a queue to control request rate. Cursor can implement all of these patterns.
Should I use an official SDK or write my own client?+
Use the official SDK if one exists and is well-maintained — it handles edge cases you'd have to discover yourself. Write a custom client when no SDK exists, when the SDK is outdated or poorly typed, or when you need more control.
How do I test API integrations without hitting the real API?+
Mock the HTTP client (axios-mock-adapter, nock, httpx mock) to return controlled responses. Write tests for each HTTP status code you need to handle. Use a test/sandbox environment for integration tests that do hit the real API.
Can Cursor help me understand complex API documentation?+
Yes. Paste sections of API documentation into Cursor and ask it to explain the authentication flow, data models, or specific endpoints. It can also generate code examples from documentation.
Other prompt packages you might like
AI Prompts for Cursor for Backend Development
Build scalable, maintainable backend systems faster using Cursor's AI assistance for APIs, services, and data layers..
See prompts
AI Prompts for Cursor for Unit Tests
Write comprehensive unit tests faster using Cursor to improve code coverage and catch bugs before they reach production..
See promptsAI Prompts for Cursor for TypeScript
TypeScript developers often face challenges in managing complex codebases and improving productivity.
See prompts