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qualityIntegrates 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.
Last updated 5 months ago
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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.
Why this server?
A server that enables AI assistants like Claude to safely run Python code and access websites, processing data for better AI understanding while providing helpful error messages.
Why this server?
This project is intended as a both MCP server connecting to Kubernetes and a library to build more servers for any custom resources in Kubernetes.
Why this server?
Enables LLMs to execute Python code in a specified Conda environment, enabling access to necessary libraries and dependencies for efficient code execution.
Why this server?
An MCP server that can run [Kubernetes](https://kubernetes.io/) commands with a given kubeconfig path and provide interpretation of the commands.
Why this server?
A Model Context Protocol server that enables Docker container management through natural language interactions using a custom GPT interface.
Why this server?
An open standard server implementation that enables AI assistants to directly access APIs and services through Model Context Protocol, built using Cloudflare Workers for scalability.
Why this server?
A model context server that provides prompts that can be used as slash commands for clients like Zed Editor, in order to add page contents as context to the AI assistant.
Why this server?
A secure server that enables AI applications to execute shell commands in specified directories, supporting multiple shell types (bash, sh, cmd, powershell) with built-in security features like directory isolation and timeout control.