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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
Create your custom MCP server on Databricks Apps for tools, prompts, and claude slash commands
LLM Gateway to call 100+ LLM APIs in OpenAI format with MCP supported.
Salesforce’s hosted MCP servers allow AI assistants like Claude, ChatGPT, and more connect securely to your Salesforce logic and assets using the Model Context Protocol.
A comprehensive security scanner for Model Context Protocol (MCP) servers that detects vulnerabilities and security issues in your MCP implementations.
is a comprehensive security auditing tool designed to detect vulnerabilities and misconfigurations in applications using the Model Context Protocol (MCP).
A fully featured C# implementation of Anthropic's Model Context Protocol (MCP)
A Model Context Protocol (MCP) server that provides basic mathematical, statistical and trigonometric functions to Large Language Models (LLMs).
A Model Context Protocol (MCP) server for Dev Proxy that enables AI assistants to interact with Dev Proxy capabilities using the MCP standard. Use this server to:
CLI for Notion using the Model Context Protocol (MCP)
In the rapidly evolving world of web development, the integration of AI assistants with UI component libraries has become increasingly important.
Aseprite MCP Pro — AI-powered pixel art creation for Aseprite via Model Context Protocol. 121 tools for sprites, drawing, animation, palettes, export, and Godot integration.
An MCP (Model Context Protocol) server for interacting with the Thermomix Cookidoo platform, built with fastmcp.
Agent Skills
This project is under active development and evolving rapidly. Contributions, feedback, and discussions are warmly welcome.
Agent skill that audits vibe-coded apps for common security vulnerabilities introduced by AI coding assistants
A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.
A collection of Codex/agent skills for planning, documentation access, frontend development, and browser automation.
简单说，就是跟 Claude 说一句话，它会帮我从每天的新论文里筛一轮，挑出值得看的，再把重点论文读完、写成 Obsidian 笔记。日常不用记一堆命令，基本就是：