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MCP Text Editor Server

@tumf

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

tumf

MCP Text Editor Server について

概要はまだありません

MCP Text Editor Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-text-editor": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

MCP Text Editor Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Text Editor Server?

MCP Text Editor Server is a Model Context Protocol (MCP) server that provides line-oriented text file editing through a standardized API. It is optimized for LLM tools with efficient partial file access to minimize token usage.

How to use MCP Text Editor Server?

Install Python 3.13+ and uv, then run via uvx mcp-text-editor or add to Claude Desktop’s claude_desktop_config.json. Start the server with python -m mcp_text_editor. Use the MCP tools get_text_file_contents and patch_text_file_contents to read and edit files with line ranges and hash-based conflict detection.

Key features of MCP Text Editor Server

  • Line-oriented text file reading and editing
  • Token-efficient partial file access with line-range specifications
  • SHA-256 hash-based conflict detection for safe concurrent edits
  • Atomic multi-file operations in single requests
  • Flexible character encoding support (utf-8, shift_jis, latin1, etc.)
  • Robust error handling with meaningful error messages

Use cases of MCP Text Editor Server

  • Collaborative text editing where multiple processes modify files safely
  • Automated text processing pipelines requiring synchronized file access
  • LLM-based tools that need token-efficient reading and editing of large files
  • Integrating line-based editing into MCP-compatible clients like Claude Desktop

よくある質問

1

What does MCP Text Editor Server do that basic file I/O cannot?

It provides line-oriented editing with hash-based conflict detection, partial file reads to reduce token usage, and multi-file atomic operations through a standardized MCP API.

2

What are the runtime requirements?

Python 3.13+ and a POSIX-compliant OS (Linux, macOS) or Windows, plus file system read/write permissions.

3

How does the server ensure safe concurrent editing?

All file modifications are validated using SHA-256 hashes. A hash mismatch indicates the file was modified by another process, and the server returns an error suggesting to fetch fresh content.

4

What encodings are supported?

The server supports utf-8, shift_jis, latin1, and others. If an encoding error occurs, verify that the specified encoding matches the file’s actual encoding.

5

Where does the data live?

All data resides on the local file system. The server does not store data in the cloud; it reads and writes files on the host machine.

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