Prompt-Pack Code Bundler

Example Use Cases

• 1

  Bundle a filtered subset of a local codebase into fenced code blocks for analysis, debugging, or refactoring requests.

• 2

  List and discover project files using flexible accept/deny regex patterns and file-size limits.

• 3

  Integrate with MCP-compatible clients (e.g., Claude Desktop, Cursor) to provide on-demand code packaging and inspection tools.

Description

Prompt-Pack recursively crawls configured folders, applies folder- and file-level accept/deny regex filters, and produces a single, well-formatted text block (with language hints) suitable for pasting into ChatGPT. It can copy the resulting bundle to the clipboard or expose the same functionality via an MCP server with tools like bundle_code and list_files. This makes sharing, reviewing, and refactoring code with AI faster, safer, and less error-prone by excluding unwanted files and handling large-file placeholders.