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qualityA Model Context Protocol server that enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.
Last updated -
45
8
JavaScript
MIT License
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Why this server?
Enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching, potentially optimizing workflows involving file writing operations.
Why this server?
Provides basic file system operations such as navigation, reading, and writing files, which are essential for any task that involves writing files faster.
Why this server?
Enables enhanced file system operations with streaming capabilities, directory management, and file watching, potentially improving writing speeds by handling large files efficiently.
Why this server?
A line-oriented text file editor optimized for LLM tools, featuring efficient partial file access to minimize token usage, which can be relevant when manipulating large files.
Why this server?
Provides document processing capabilities, including converting documents to markdown, which may indirectly speed up content generation workflows.
Why this server?
A TypeScript port of Anthropic's filesystem editing tools, allowing file manipulation via client-approved operations, which could be used to enhance code writing speeds.
Why this server?
While primarily for data analysis, DuckDB could be used to generate content for files, and therefore help speed up the write process.
Why this server?
Allows Claude to execute Make targets from a Makefile, which could include custom scripts for code generation or file manipulation.
Why this server?
Allows browsing and editing files in a filesystem, which could be useful for faster content creation and modification.
Why this server?
Provides code manipulation and version control capabilities, allowing AI assistants to read, write, and execute code while maintaining a history of changes.