MCP Text Editor Server
by tumf
A Model Context Protocol (MCP) server providing line-oriented text file editing capabilities through a standardized API. It's optimized for LLM tools with efficient partial file access to minimize token usage.
Last updated: N/A
What is MCP Text Editor Server?
MCP Text Editor Server is a client-server application designed for safe and efficient line-based text file operations. It implements the Model Context Protocol, ensuring reliable file editing with robust conflict detection and resolution, making it ideal for collaborative editing, automated text processing, and synchronized file access.
How to use MCP Text Editor Server?
To use the server, install it following the provided instructions (using uvx, Smithery, or manual installation). Start the server using python -m mcp_text_editor. Interact with the server using the provided MCP tools like get_text_file_contents and patch_text_file_contents to read and modify files, ensuring to handle potential conflicts using the provided error handling mechanisms.
Key features of MCP Text Editor Server
Line-based editing operations
Token-efficient partial file access with line-range specifications
Optimized for LLM tool integration
Safe concurrent editing with hash-based validation
Atomic multi-file operations
Robust error handling with custom error types
Comprehensive encoding support (utf-8, shift_jis, latin1, etc.)
Use cases of MCP Text Editor Server
Collaborative editing tools
Automated text processing systems
LLM-based tools requiring efficient file access
Scenarios where multiple processes need to modify text files safely
FAQ from MCP Text Editor Server
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
MCP is a standardized API for interacting with models, enabling efficient and reliable communication between clients and servers.
How does partial file access minimize token usage for LLMs?
How does partial file access minimize token usage for LLMs?
By only loading the necessary portions of files (specified by line ranges), the server reduces the amount of text sent to the LLM, thereby decreasing token consumption.
How does the server handle concurrent edits?
How does the server handle concurrent edits?
The server uses SHA-256 hashes to validate file modifications, detecting and preventing race conditions and ensuring data integrity.
What encodings are supported by the server?
What encodings are supported by the server?
The server supports a wide range of character encodings, including utf-8, shift_jis, and latin1, providing flexibility for handling different file types.
What should I do if I encounter a 'Hash Mismatch' error?
What should I do if I encounter a 'Hash Mismatch' error?
A 'Hash Mismatch' error indicates that the file has been modified by another process. You should use get_text_file_contents to get the current content and hashes and retry your edit.