Text File Read And Refactor MCP

مجتمعي البحث والويب

Token-efficient text-file search, reading and refactoring that detects each file's BOM and codepage and preserves them on save.

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  • 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"

التثبيت

خطوات التثبيت موجودة في التوثيق أدناه. التوثيق

التوثيق

مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.

المحتويات
  1. Text File Read And Refactor MCP
  2. Glama.AI
  3. Github repository
  4. Installation
  5. Tools
  6. Cengal
  7. Projects using Cengal
  8. License

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.

الأسئلة الشائعة

ما هو Text File Read And Refactor MCP؟

Token-efficient text-file search, reading and refactoring that detects each file's BOM and codepage and preserves them on save.

كيف أثبّت Text File Read And Refactor MCP؟

اتبع خطوات التثبيت في توثيقه المعروض في هذه الصفحة وفي مستودعه.

هل Text File Read And Refactor MCP مفتوح المصدر؟

نعم. شيفرته متاحة على GitHub بترخيص Apache-2.0.

من يصون Text File Read And Refactor MCP؟

ينشره FI-Mihej. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.

من القوائم المجتمعية awesome-mcp-servers ومستودع المشروع على GitHub. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.