Text File Read And Refactor MCP

Communauté Recherche et web

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

Que pouvez-vous faire avec Text File Read And Refactor MCP ?

  • 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"

Installation

Les étapes d'installation sont dans la documentation ci-dessous. Documentation

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  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.

Questions fréquentes

Qu'est-ce que 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.

Comment installer Text File Read And Refactor MCP ?

Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.

Text File Read And Refactor MCP est-il open source ?

Oui. Son code est sur GitHub sous licence Apache-2.0.

Qui maintient Text File Read And Refactor MCP ?

Il est publié par FI-Mihej. AI.tn le référence sans le maintenir ni le recommander.

Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.