Cursor インストールガイド
開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers
Kindly Web Search MCP Server: Web search + robust content retrieval for AI coding tools (Claude Code, Codex, Cursor, GitHub Copilot, Gemini, etc.
An MCP server for managing and sharing your personal knowledge, daily notes, and reuseable prompts via GitHub Gists. It's a companion to the GistPad VS Code extension and GistPad.
computer-use-linux Control a real Linux desktop from any MCP host.
OpenMCP makes it easy to turn any OpenAPI specification into an MCP server, and to remix many MCP servers into a single server with just the tools you need.
Index your codebase. AI searches instead of re-reading files. 94% token savings, reproducibly benchmarked.
An MCP server that provides access to arXiv papers through their API.
A Model Completion Protocol (MCP) server implementation for ServiceNow, allowing Claude to interact with ServiceNow instances.
An MCP server for academic paper search that integrates with AI assistants (e.g., Claude Code, Cursor), enabling them to search and retrieve academic paper metadata.
An OpenStreetMap MCP server implementation that enhances LLM capabilities with location-based services and geospatial data.
Most MCP integrations for Unreal register every action as a separate tool. That floods the AI's context window with hundreds of tool names before you've asked a single question — and the actually...
NotebookLM does the research, Claude writes the content.
MCP Server to Use HuggingFace spaces, easy configuration and Claude Desktop mode.
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：