Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers

The . The historical and kept only for legacy/self-hosted workflows. New users should start with the extension-first path below.

A secure Windows SSH workspace and MCP server for Codex, Claude Code, Cursor and other AI agents.

ChiKen is your private, AI-powered research assistant that transforms your Zotero library into an interactive knowledge base.

RimBridgeServer runs an MCP server inside RimWorld so AI agents and external tools can remotely control and observe a running game.

MCP server that scrapes public posts from X, LinkedIn and Hacker News in a local browser that is never signed in

kali linux mcp,pentest,penetration test

Your digital developer twin — because "explain our setup again" gets old fast.

MCP Server for Ozon marketplace - search products, get details, prices and delivery info

is the easiest way to connect any MCP client (like Claude or Cursor) with the browser using browser-use.

本项目面向** —— 如果你的 AI 伴侣住在 rikkahub 之类的 MCP 客户端里,本服务可以让 TA 真的"触碰"到你:通过 MCP 协议一句话控制你手里的 智能玩具。

Use Devnors Data from Python with one API Key.

An MCP server that connects to a Swagger specification and helps an AI to build all the required models to generate a MCP server for that service.
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...