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Editor Setup

Cursor Setup

Learn how to setup Cursor AI editor to generate accurate Tomba API code using our comprehensive documentation.

Quick Use

Using Web Search in Cursor

In Cursor's chat interface, you can reference our documentation directly:

Code
@web https://docs.tomba.io/llms.txt Create a TypeScript class for Tomba email finder with async/await patterns

Using the Documentation Panel

  1. Open Cursor's documentation panel
  2. Add the Tomba API documentation URL: https://docs.tomba.io/llms.txt
  3. Reference it in your prompts with @docs

Project-level Setup

Method 1: Project Documentation

Create a .cursorrules file in your project root:

TerminalCode
# Download Tomba API documentation curl -L https://docs.tomba.io/llms.txt -o .cursorrules

Method 2: Custom Instructions

Create a cursor-instructions.md file in your project:

TerminalCode
# Create project documentation mkdir -p docs curl -L https://docs.tomba.io/llms.txt -o docs/cursor-instructions.md

Add this to your project's .cursor/ directory:

JSONCode
{ "includeInContext": ["docs/cursor-instructions.md"], "customInstructions": "Use the Tomba API documentation in docs/cursor-instructions.md for all API-related code generation. Follow the authentication patterns and endpoint structures defined in the documentation." }

Cursor-Specific Features

1. Multi-file Editing

Use Cursor's multi-file editing with Tomba API:

Prompt:

Code
@docs Create a complete Tomba API client with separate files for: - Authentication module - Email finder service - Email verifier service - Error handling utilities - TypeScript types

2. Codebase Chat

Reference your entire codebase when working with Tomba API:

Code
@codebase How can I integrate Tomba email verification into my existing user registration flow?

3. Smart Rewrites

Select existing code and ask Cursor to enhance it:

Code
@docs Refactor this email validation function to use Tomba's email verifier API instead of regex

Configuration

Cursor Settings

Add these settings to enhance Tomba API code generation:

JSONCode
{ "cursor.general.enableInlineCompletion": true, "cursor.chat.includeWorkspaceInContext": true, "cursor.ai.model": "claude-3.5-sonnet", "cursor.chat.customInstructions": "When generating API code, prioritize Tomba API endpoints and follow RESTful patterns. Include proper error handling and authentication." }

Environment Variables

Set up your environment for Cursor to understand your API keys:

TerminalCode
# Create .env.example file echo "TOMBA_API_KEY=your_api_key_here" > .env.example echo "TOMBA_SECRET_KEY=your_secret_key_here" >> .env.example

Example Use Cases

1. Building an Email Finder Component

Prompt:

Code
@docs Create a React component that uses Tomba API to find emails for a company. Include: - Input field for domain - Loading state - Results display - Error handling - TypeScript types

Generated Code:

TypeScriptCode
import React, { useState } from 'react'; interface EmailResult { email: string; first_name: string; last_name: string; position: string; confidence: number; } interface TombaResponse { data: { emails: EmailResult[]; }; meta: { total: number; }; } const EmailFinder: React.FC = () => { const [domain, setDomain] = useState(''); const [results, setResults] = useState<EmailResult[]>([]); const [loading, setLoading] = useState(false); const [error, setError] = useState<string | null>(null); const findEmails = async () => { if (!domain) return; setLoading(true); setError(null); try { const response = await fetch(`https://api.tomba.io/v1/domain-search?domain=${domain}`, { headers: { 'X-Tomba-Key': process.env.REACT_APP_TOMBA_API_KEY!, 'X-Tomba-Secret': process.env.REACT_APP_TOMBA_SECRET_KEY!, }, }); if (!response.ok) { throw new Error(`HTTP error! status: ${response.status}`); } const data: TombaResponse = await response.json(); setResults(data.data.emails); } catch (err) { setError(err instanceof Error ? err.message : 'An error occurred'); } finally { setLoading(false); } }; return ( <div className="email-finder"> <div className="input-group"> <input type="text" value={domain} onChange={(e) => setDomain(e.target.value)} placeholder="Enter company domain (e.g., tomba.io)" className="domain-input" /> <button onClick={findEmails} disabled={loading || !domain}> {loading ? 'Searching...' : 'Find Emails'} </button> </div> {error && <div className="error">{error}</div>} {results.length > 0 && ( <div className="results"> <h3>Found {results.length} emails:</h3> {results.map((email, index) => ( <div key={index} className="email-result"> <strong>{email.email}</strong> <div>{email.first_name} {email.last_name}</div> <div>{email.position}</div> <div>Confidence: {email.confidence}%</div> </div> ))} </div> )} </div> ); }; export default EmailFinder;

2. API Client with Error Handling

Prompt:

Code
@docs Create a robust Tomba API client class with: - Rate limiting - Retry logic - Comprehensive error handling - TypeScript support - All major endpoints

3. Integration with Form Validation

Prompt:

Code
@docs Create a form validation hook that uses Tomba email verifier to validate email addresses in real-time

Advanced Features

1. Custom Commands

Create custom Cursor commands for Tomba API:

JSONCode
{ "commands": [ { "name": "Generate Tomba Email Finder", "command": "@docs Create an email finder function using Tomba API for the selected domain variable" }, { "name": "Add Tomba Verification", "command": "@docs Add Tomba email verification to the selected email input field" } ] }

2. Code Actions

Set up code actions for common Tomba API patterns:

JSONCode
{ "codeActions": { "tomba.addEmailVerification": { "title": "Add Tomba Email Verification", "kind": "refactor" } } }

Best Practices

1. Use Contextual Prompts

Instead of generic requests, provide context:

Code
@docs In my user registration form, add Tomba email verification before allowing signup

2. Leverage Cursor's Understanding

Let Cursor understand your project structure:

Code
@codebase @docs Integrate Tomba email finder into my existing user management system

3. Iterative Development

Build incrementally:

Code
@docs Start with a basic Tomba email verification function

Then enhance:

Code
@docs Add caching and rate limiting to the previous email verification function

Troubleshooting

Documentation Not Loading

  1. Check your internet connection
  2. Verify the URL: https://docs.tomba.io/llms.txt
  3. Try refreshing the documentation panel

API Code Not Working

  1. Ensure your API keys are properly set
  2. Check the generated endpoint URLs
  3. Verify authentication headers are included

Context Issues

  1. Make sure .cursorrules is in your project root
  2. Check that custom instructions are properly formatted
  3. Try restarting Cursor after configuration changes

Additional Resources

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