

Repo Prompt is a macOS native context engineering toolbox designed to remove friction from iterating on code with powerful AI models. It helps AI models understand your codebase without wasting tokens on irrelevant code by automating the assembly of perfect context for your projects.
The app features smart file selection with visual file tree and instant preview, powerful search capabilities, and multi-repository support. Codemaps provide structural summaries that capture function signatures, types, and API contracts with 90% fewer tokens. Context Builder automatically discovers relevant files by understanding your codebase structure when you describe your task. The MCP Server integration transforms Repo Prompt into a backend for AI editors with 15+ specialized tools.
Repo Prompt works with your existing AI subscriptions including Claude MAX, ChatGPT Plus, and Gemini without extra API costs. It provides universal compatibility allowing you to copy prompts to clipboard for any AI or connect agents directly via MCP for programmatic access. The Context Builder analyzes your project and selects files and functions needed for your task, building dense context that fits within model limits.
The benefits include 10x faster context building and 80% less token usage while maintaining 100% local and private operation. It enables persistent context sync across AI tools, allowing you to start in Claude Desktop and seamlessly continue in Cursor. The tool also facilitates agent-to-agent collaboration, letting Claude collaborate with other models like o3, Grok 4, or Gemini 2.5 Pro.
Repo Prompt targets developers working with AI coding assistants, particularly those using Claude Code, Cursor, and Codex. It integrates with existing AI subscriptions and provides MCP server capabilities for enhanced development workflows across multiple platforms.
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Repo Prompt targets developers working with AI coding assistants, particularly those using Claude Code, Cursor, and Codex. It serves individuals learning to code with AI assistance as well as experienced programmers managing complex codebases. The tool is designed for developers who want to optimize token usage while maintaining efficient AI-powered development workflows across multiple platforms and AI models.