GitHub - eastlondoner/cursor-tools: Give Cursor Agent an AI Team and Advanced Skills

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GitHub - eastlondoner/cursor-tools: Give Cursor Agent an AI Team and Advanced Skills

Introduction

What is Cursor-Tools?

Cursor-Tools supercharges AI-assisted development by providing an AI "team" that integrates directly with code editors like Cursor. It combines multiple specialized AI agents to handle web research, codebase analysis, browser automation, and GitHub operations through a unified CLI. This tool specifically enhances AI programming workflows by grounding AI actions in real-world data and repository context.

Key Features

  1. AI Team Collaboration

    • Perplexity Integration: Web search agent for real-time technical research and error resolution

    • Gemini 2.0: Processes entire codebases (up to 2M tokens) for context-aware coding

    • Stagehand: Browser automation for testing and debugging web applications

    • GitHub Copilot++: Enhanced issue/PR analysis with repository context

  2. Multi-Model Orchestration

    Routes tasks to optimal AI models:

    • Code analysis → Gemini 2.0 (2M token context)
    • Web research → Perplexity (real-time search)
    • Browser ops → Claude 3 (visual understanding)

  3. Project-Aware Automation

    • Auto-generates documentation from codebases
    • Executes Xcode builds with error analysis
    • Creates video recordings of browser tests

Implementation Guide

Step 1: Global Installation

npm install -g cursor-tools  
cursor-tools install .

Step 2: API Configuration

# Interactive setup for essential services:  
curl -fsSL https://cli.cursor-tools.ai/install | bash

Key Integrations:

  1. Add Google Gemini API key for code analysis
  2. Configure Perplexity API for web research
  3. Set OpenAI/Anthropic keys for browser automation

Cost Structure

| Service | Free Tier | Pro Tier |
|---------|-----------|----------|
| Cursor-Tools | MIT Licensed (Free) | Community Support |
| Gemini API | $0.50/M tokens | GCP Pricing |
| Perplexity | 100 free searches/day | $20/mo |
| Browser Ops | 50 free actions/day | Pay-per-use |

Actual costs depend on connected API services

Optimization Strategies

  1. Context Management

    • Use .repomixignore to exclude non-essential files
    • Chain commands: web → repo → browser for full-stack debugging

  2. Browser Automation

    # Record test flows with video capture:  
cursor-tools browser act "User registration flow" --video=./tests/

  3. AI Code Review

    cursor-tools repo "Analyze security risks in auth middleware" --model=gemini-2.0

Common Questions

Q: How does it handle private repositories?

A: Local code never leaves your machine - analysis happens through local API calls

Q: Browser automation alternatives?

A: Use --connect-to=9222 to attach to existing Chrome instances

Q: Enterprise security options?

A: Supports GCP's private Gemini endpoints and self-hosted model deployments

Q: Mobile development support?

A: Xcode integration handles iOS simulator testing with AI-generated fix suggestions

Why Developers Choose This

  1. Context-Aware AI - Maintains project-specific knowledge across tools

  2. Multi-Expert System - Routes tasks to specialized AI models automatically

  3. Visual Debugging - Video recordings of browser tests with console logs

  4. Zero-Hallucination - Grounds answers in actual codebase/web results

Ideal for teams building AI-native applications requiring coordinated AI agents