Diffchunk

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Diffchunk addresses the significant challenges of analyzing large diff files, particularly in the context of LLM applications. Traditional methods often encounter LLM context window limits, incur high token costs for irrelevant content, and lead to lost context during manual splitting. As an MCP server, Diffchunk provides a structured solution by segmenting large diffs into smaller, context-rich chunks, allowing users to jump directly to relevant changes, reduce token consumption, and maintain file relationships and metadata across the entire diff.

Características Principales

• Provides four distinct tools: load_diff, list_chunks, get_chunk, and find_chunks_for_files.
• Supports auto-loading of diffs with sensible default chunking settings.
• Breaks down large diffs into manageable, LLM-optimized chunks.
• Handles multiple diff files simultaneously, maintaining separate states for each.
• Automatically detects and reloads diffs when source files are modified.
• 1 GitHub stars

Casos de Uso

• Manage and analyze multiple, independent diff files concurrently.
• Efficiently review large feature branches by navigating specific changes.
• Perform targeted analysis on particular file types or modules within a diff.