diffchunk

peteretelej/diffchunk

3.4

If you are the rightful owner of diffchunk and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

The diffchunk MCP server is designed to efficiently navigate and analyze large diff files, optimizing the process by focusing on relevant changes and reducing unnecessary token usage.

The diffchunk MCP server is a powerful tool for developers and analysts dealing with large diff files. It addresses common challenges such as context limits, token costs, and poor targeting by providing a streamlined approach to diff navigation. The server allows users to jump directly to relevant changes, preserving file relationships and metadata, and avoiding the need to process entire diffs sequentially. This is particularly beneficial for large feature branches and refactoring diffs, where only a subset of changes may be relevant to the task at hand. By using the diffchunk server, users can reduce analysis bottlenecks, improve efficiency, and maintain a clear overview of changes across multiple files. The server is cross-platform, supporting both Windows and Unix systems, and is designed to handle large diffs with ease, making it an enterprise-ready solution for modern development workflows.

Features

  • Efficient Navigation: Jump directly to relevant changes in large diff files.
  • Context Preservation: Maintain file relationships and metadata.
  • Cross-Platform Support: Compatible with Windows and Unix systems.
  • Auto-Loading: Seamless user experience with no session management complexity.
  • Cost Reduction: Process only relevant changes to reduce token usage.

Usages

usage with mcp client

{
  "mcpServers": {
    "diffchunk": {
      "command": "uvx",
      "args": ["--from", "diffchunk", "diffchunk-mcp"]
    }
  }
}

Tools

  1. load_diff

    Parse diff file and get overview.

  2. list_chunks

    Show chunks with file mappings.

  3. get_chunk

    Retrieve specific chunk content.

  4. find_chunks_for_files

    Locate chunks by file patterns.