MCP server for navigating large diff files with intelligent chunking
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# diffchunk [](https://github.com/peteretelej/diffchunk/actions/workflows/ci.yml) [](https://codecov.io/gh/peteretelej/diffchunk) [](https://pypi.org/project/diffchunk/) [](https://www.python.org/downloads/) [](https://opensource.org/licenses/MIT) [](https://github.com/astral-sh/ruff) [](https://github.com/astral-sh/uv) MCP server that enables LLMs to navigate large diff files efficiently. Instead of reading entire diffs sequentially, LLMs can jump directly to relevant changes using pattern-based navigation. ## Problem Large diffs exceed LLM context limits and waste tokens on irrelevant changes. A 50k+ line diff can't be processed directly and manual splitting loses file relationships. ## Solution MCP server with 4 navigation tools: - `load_diff` - Parse diff file with custom settings (optional) - `list_chunks` - Show chunk overview with file mappings (auto-loads) - `get_chunk` - Retrieve specific chunk content (auto-loads) - `find_chunks_for_files` - Locate chunks by file patterns (auto-loads) ## Setup **Prerequisite:** Install [uv](https://docs.astral.sh/uv/getting-started/installation/) (an extremely fast Python package manager) which provides the `uvx` command. Add to your MCP client configuration: ```json { "mcpServers": { "diffchunk": { "command": "uvx", "args": ["--from", "diffchunk", "diffchunk-mcp"] } } } ``` ## Usage Your AI assistant c…
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