# LLM Optimization

VectorCode is a code repository indexing tool designed to optimize the prompt construction of large programming language models (LLMs) by indexing and providing code repository information. It supports multiple embedding engines, provides command - line tools and Neovim plugins to help developers more efficiently use project context to improve the quality of model output.

The MCP Text Editor Server is a text file editing service based on the Model Context Protocol, providing line-oriented text file operation capabilities and supporting efficient partial file access to reduce token consumption for LLM tools. It has features such as concurrent editing detection, multi-file atomic operations, and support for multiple encodings.

The GitHub Kanban MCP Server is a server that converts GitHub issues into a kanban - style management and optimizes LLM task processing.

An MCP service that converts code repositories into a format suitable for LLM processing

A privacy - protected MCP file server that optimizes LLM file access