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Repo Prompt

Repo Prompt

Automate assembling the perfect context for your project

Website repoprompt.com
Overview

What it is

Repo Prompt helps AI models understand your codebase without wasting tokens on irrelevant code. Context Builder analyzes your project and selects the files and functions needed for your task, building dense context that fits in model limits. It works with your existing AI subscriptions (Claude MAX, ChatGPT Plus, Gemini) — no extra API costs. The MCP server turns Repo Prompt into a backend for Claude Code, Cursor, and Codex, giving them context analysis and discovery they can't do on their own.

Intent

I need it when

Quickly generate AI prompts from code repository context without manual copying

Repo Prompt is a native macOS context engineering toolbox that automatically extracts and structures repository context, enabling users to build powerful AI prompts directly from their codebase or delegate prompt creation to AI agents via MCP integration.

Iterate on code changes efficiently with AI assistance while maintaining full repository context

Repo Prompt allows developers to maintain rich code context across iterations, feeding complete repository information to AI models for more accurate code suggestions, refactoring, and debugging without losing context between interactions.

Integrate AI-powered code assistance into existing macOS development workflows

As a native macOS application, Repo Prompt integrates directly into developer environments and supports MCP for seamless connection with AI agents and other tools, enabling context-aware AI assistance without switching applications.

Automate prompt engineering for AI-assisted development workflows

Repo Prompt enables both manual prompt building and AI agent automation via MCP, allowing developers to systematize how they prepare repository context for AI tools, reducing manual prompt engineering overhead.

Drop

Not a fit when

  • User requires Windows or Linux support; Repo Prompt is native macOS only
  • User needs a cloud-based solution without local installation requirements
  • User works with non-code repositories or unstructured text documents
  • User requires real-time collaboration features for team coding sessions
  • User cannot integrate with Model Context Protocol (MCP) or prefers standalone AI tools
Commercials

Pricing

Pricing not specified View pricing