Text File Read And Refactor MCP

Token-efficient Python stdio MCP server exposing safe text-file search,

reading, and refactoring tools. Tools automatically resolve the file BOM and

codepage; edit tools save files with their original encoding and BOM.

Glama.AI

Github repository

Github repository is a curated public mirror of the project. Active development (including experimental code and private research notes) happens in a private repository; selected snapshots are published here periodically.

Installation

1. Install `uv`:

https://docs.astral.sh/uv/getting-started/installation/

2. Configure your MCP client to run the server via `uvx`:

{
  "mcpServers": {
    "text-file-read-and-refactor": {
      "command": "uvx",
      "args": [
        "text-file-read-and-refactor-mcp"
      ]
    }
  }
}

Tools

`Slice` concept: an analog of the `slice(start: integer, stop: integer)` - stores the start and end indices of a range.

`Boundary` concept: an analog of the `Boundary(text: string, type: Enum[text, word, dev_word, regex])`

`Span` concept: an analog of the `Span(left_boundary: Boundary, right_boundary: Boundary)`. It allows for search/replace operations such as `give me the text between "my_config_param:" and ";"` or `replace the text between "%my_regex_1%" and "%my_regex_2%" with "my_text"`.

Read-only tools:

• `text_file__list_allowed_directories` - in pseudocode: "text_file__list_allowed_directories() -> List[directory_path]"
• `text_file__file_content_length` - in pseudocode: "text_file__file_content_length() -> integer_characters_num"
• `text_file__read_slice` - in pseudocode: "text_file__read_slice(characters_slice) -> text"
• `text_file__file_lines_num` - in pseudocode: "text_file__file_lines_num() -> integer_lines_num"
• `text_file__read_content_by_line_range` - in pseudocode: "text_file__read_content_by_line_range(lines_slice) -> text"
• `text_file__find_text` - in pseudocode: "text_file__find_text(text, type: Enum[text, word, dev_word, regex]) -> {found, result?: {slice, lines, text}}"
• `text_file__find_all_text_occurrences` - in pseudocode: "text_file__find_all_text_occurrences(text, type: Enum[text, word, dev_word, regex], result_index_start, result_index_stop) -> List[{found, result: {slice, lines, text}}]"
• `text_file__expand_slice_to_lines` - in pseudocode: "text_file__expand_slice_to_lines(characters_slice) -> lines_slice"
• `text_file__find_span_boundaries` - in pseudocode: "text_file__find_span_boundaries(left_boundary, right_boundary) -> Tuple[left_boundary_characters_slice, right_boundary_characters_slice]"
• `text_file__find_span_between_boundaries` - in pseudocode: "text_file__find_span_between_boundaries(left_boundary, right_boundary) -> text". Example: `text_file__find_span_between_boundaries("my_config_param:", ";")` will return string " my_value".
• `text_file__find_span_with_boundaries` - in pseudocode: "text_file__find_span_with_boundaries(left_boundary, right_boundary) -> text". Example: `text_file__find_span_with_boundaries("my_config_param:", ";")` will return string "my_config_param: my_value;".

Edit tools:

• `text_file__replace_content_by_line_range` - in pseudocode: "text_file__replace_content_by_line_range(text, lines_slice)"
• `text_file__replace_slice` - in pseudocode: "text_file__replace_slice(text, characters_slice)"
• `text_file__replace_text` - in pseudocode: "text_file__replace_slice(old_text, new_text)"
• `text_file__replace_span_between_boundaries` - in pseudocode: "text_file__replace_span_between_boundaries(text, left_boundary, right_boundary)".
• `text_file__replace_span_with_boundaries` - in pseudocode: "text_file__replace_span_with_boundaries(text, left_boundary, right_boundary)".
• `text_file__patch_spans_by_boundary_patterns` - in pseudocode: "text_file__patch_spans_by_boundary_patterns(List[Tuple[text, left_boundary, right_boundary]])".

Cengal

Based on Cengal

Projects using Cengal

• InterProcessPyObjects - High-performance package delivers blazing-fast inter-process communication through shared memory, enabling Python objects to be shared across processes with exceptional efficiency.
• cengal_app_dir_path_finder - A Python module offering a unified API for easy retrieval of OS-specific application directories, enhancing data management across Windows, Linux, and macOS
• cengal_cpu_info - Extended, cached CPU info with consistent output format.
• cengal_memory_barriers - Fast cross-platform memory barriers for Python.
• flet_async - wrapper which makes Flet async and brings booth Cengal.coroutines and asyncio to Flet (Flutter based UI)
• justpy_containers - wrapper around JustPy in order to bring more security and more production-needed features to JustPy (VueJS based UI)
• Bensbach - decompiler from Unreal Engine 3 bytecode to a Lisp-like script and compiler back to Unreal Engine 3 bytecode. Made for a game modding purposes
• Realistic-Damage-Model-mod-for-Long-War - Mod for both the original XCOM:EW and the mod Long War. Was made with a Bensbach, which was made with Cengal
• SmartCATaloguer.com - TagDB based catalog of images (tags), music albums (genre tags) and apps (categories)

License

Copyright © 2026 ButenkoMS. All rights reserved.

Licensed under the Apache License, Version 2.0.