What Python version is required?
Python 3.10 or 3.11 is required; Python 3.12+ is not supported yet due to python-ctags3 compatibility.
@dwymark
基本信息
An MCP server providing an efficient and safe text editor for LLMs
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"chunk-editor": {
"command": "uvx",
"args": [
"mcp-chunk-editor"
]
}
}
}Retrieve chunks of a file, either all chunks or a specific range.
Replace the content of one or more chunks and immediately apply the changes.
Revert the last change made by a replace_chunks operation.
Create a new file with given content.
Delete a file.
MCP Chunk Editor is a Model Context Protocol server that enables LLMs to edit text files using semantically meaningful chunks (functions, classes, methods) rather than line numbers. It uses Universal CTags to parse files into chunks and provides immediate application of edits with preview. It is designed for AI-assisted code editing workflows.
Install via pip install mcp-chunk-editor or run directly with uvx mcp-chunk-editor. Configure it in Claude.app by adding a JSON entry under mcpServers using the uvx, docker, or python command. Optionally set a custom --max-chunk-size argument (default 100 lines) to control chunk sizes.
create_file and later deletes it with delete_filePython 3.10 or 3.11 is required; Python 3.12+ is not supported yet due to python-ctags3 compatibility.
It supports undoing the most recent change per file, with one level of undo.
Universal CTags must be installed (e.g., `apt-get install universal-ctags` on Debian/Ubuntu).
Yes, pass the `--max-chunk-size` argument to set a custom maximum chunk size (default is 100 lines).

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Model Context Protocol Servers
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