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MCP Text Editor Server Overview

The MCP Text Editor Server is a robust solution designed to streamline text file editing in a client-server architecture, leveraging the Model Context Protocol (MCP) for efficient and safe line-oriented operations. This server is specifically optimized for integration with Large Language Model (LLM) tools, offering efficient partial file access to minimize token usage. It is ideal for applications requiring synchronized file access, such as collaborative editing tools, automated text processing systems, or scenarios where multiple processes need to safely modify text files.

Key Features

  • Line-based Editing Operations: The server supports line-oriented text file editing and reading, making it suitable for applications that require precise file manipulation.
  • Token-efficient Partial File Access: With line-range specifications, the server minimizes token usage, which is particularly beneficial for LLM-based tools.
  • Safe Concurrent Editing: It provides hash-based validation to ensure safe concurrent edits, preventing race conditions and conflicts.
  • Atomic Multi-file Operations: The server supports operations across multiple files in a single transaction, ensuring consistency and reliability.
  • Comprehensive Encoding Support: It supports multiple character encodings, including utf-8, shift_jis, and latin1, catering to diverse text file requirements.
  • Robust Error Handling: Custom error types and comprehensive error handling mechanisms ensure that operations are reliable and predictable.

Use Cases

  1. Collaborative Editing Tools: The server’s ability to handle concurrent edits safely makes it ideal for collaborative text editing applications.
  2. Automated Text Processing Systems: With its efficient file access and editing capabilities, the server is perfect for automated systems that require precise text manipulation.
  3. LLM-based Applications: The token-efficient partial file access is particularly useful for applications that integrate with LLMs, reducing token consumption and improving performance.
  4. Multi-agent Systems: In scenarios where multiple agents need to interact with text files, the server ensures safe and efficient operations.

UBOS Platform Integration

The UBOS platform, a full-stack AI agent development platform, can seamlessly integrate with the MCP Text Editor Server. UBOS is focused on bringing AI agents to every business department, helping orchestrate AI agents, connect them with enterprise data, and build custom AI agents with your LLM model and multi-agent systems. By integrating the MCP Text Editor Server, UBOS enhances its capabilities in handling text-based data efficiently and securely.

Installation and Usage

Requirements

  • Python 3.13 or higher
  • POSIX-compliant operating system (Linux, macOS, etc.) or Windows
  • Sufficient disk space for text file operations
  • File system permissions for read/write operations

Installation

The server can be installed via various methods including uvx, Smithery, and Docker. Here is a quick guide for Docker installation:

docker build --network=host -t mcp/text-editor .

Starting the Server

You can start the server with Docker using the following command:

docker run -i --rm --mount "type=bind,src=/some/path/src,dst=/some/path/dst" mcp/text-editor

Security Considerations

  • File Path Validation: The server validates all file paths to prevent directory traversal attacks.
  • Access Control: Proper file system permissions should be set to restrict access to authorized directories.
  • Hash Validation: All file modifications are validated using SHA-256 hashes to prevent race conditions.
  • Input Sanitization: All user inputs are properly sanitized and validated.

Troubleshooting

Common Issues

  1. Permission Denied: Ensure the server process has necessary read/write access.
  2. Hash Mismatch: The file was modified by another process. Run get_text_file_contents to get fresh hashes.
  3. Encoding Issues: Verify file encoding matches the specified encoding.

Conclusion

The MCP Text Editor Server is a powerful tool for managing text file operations efficiently and securely. Its integration with LLM tools and the UBOS platform makes it a versatile solution for diverse applications, from collaborative editing to automated text processing systems. By leveraging its robust features and capabilities, businesses can enhance their text file handling processes, ensuring reliability and efficiency.

Text Editor Server

by tumf
272 GitHub stars

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