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
Shell and coding agent on mcp clients
AST-based call graph analysis + semantic search — right from your terminal.
ACP (Agent Control Plane) is a cloud-native orchestrator for AI Agents built on Kubernetes. It supports long-lived outer-loop agents that can process asynchronous execution of both LLM inference and...
MCP to allow AI agents to control Unreal
Run Linux-style commands on Windows via deterministic bash→PowerShell translation. No VM, no WSL. MCP server + CLI built for AI agents (Claude Code, Codex, OpenCode...).
MCP server for the Cloudflare API
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An MCP service for deploying full-stack projects to EdgeOne Makers and obtaining publicly accessible URLs.
这是一款基于 Playwright 开发的小红书自动搜索和评论工具，作为 MCP Server，可通过特定配置接入 MCP Client（如Claude for Desktop），帮助用户自动完成登录小红书、搜索关键词、获取笔记内容及发布AI生成评论等操作。
MCP server that enables the use of OpenAI's high-end models and their powerful web search capabilities.
AI-native GPU frame debugging for RenderDoc English | 简体中文
Automated deep malware reverse engineering driven by AI agents. A Kali-based Docker environment pairs 50+ RE tools with MCP-connected disassembler backends (Binary Ninja or Ghidra) and a structured...
Agent Skills
SigNoz Website
Open-source Claude Code plugin porting the internal /skillify skill: turn a finished session's repeatable workflow into a reusable SKILL.md you can rerun with a slash command.
Claude Code skill + Remotion scaffold for building polished product launch videos.
Permissionless infrastructure for agents. No human intervention required.
Develop Swift/iOS projects using VSCode
Sync and store bookmarks locally, manage Field Theory Library and command workflows, and make local context available to Claude Code, Codex, or any agent with shell access.
如果在使用过程中遇到问题，请通过 Issues 反馈功能正确性问题和功能请求，其他问题请通过 Discussions 反馈～
VS Code in the terminal
Generate app icon artwork and Google Play feature graphics from the terminal with OpenAI or Google Gemini.
Fill-in-your-own-data framework for YouTube / short-form video automation: CapCut JSON + ffmpeg tooling + an onboarding questionnaire. Ships with zero private data.
🚧 We are actively refining our core, resumption protocols, and runtime specifications, which will introduce major breaking changes prior to a stable release.
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...