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Why this server?
Integrates Cursor AI with Vite Dev server, allowing AI agents to modify code and observe live updates through the Hot Module Replacement system in real-time, enabling efficient code editing.
Why this server?
Enhances the capabilities of coding agents. It provides intelligent code suggestions and leverages project documentation, aiding in more accurate and efficient code editing.
Why this server?
A line-oriented text file editor optimized for LLM tools, providing efficient partial file access to minimize token usage during editing.
Why this server?
Enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities, facilitating efficient code understanding and editing.
Why this server?
A TypeScript port of Anthropic's filesystem editing tools, allowing file manipulation via client-approved operations, promoting safe and efficient code editing.
Why this server?
Enables interaction with GitHub through the GitHub API, supporting file operations and repository management. This can facilitate committing changes after edits.
Why this server?
Enables AI assistants to safely run Python code and access websites, processing data for better AI understanding, which can support code editing tasks.
Why this server?
Leverages Vim's native text editing commands and workflows, which agents already understand, to create a lightweight code assistance layer.
Why this server?
Provides code manipulation, execution, and version control capabilities, allowing AI assistants to read, write, and execute code while maintaining a history of changes.
Why this server?
A TypeScript-based Model Context Protocol toolkit that enables AI to interact with code files, manage translations, build projects, and search for files and code content.