Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
A lightweight way to use environment variables in your Cursor MCP server definitions.
This MCP server provides tools for listing and retrieving content from different knowledge bases.
- — MCP Protocol v2 (spec revision 2026-07-28, streamable HTTP) and experimental StrongDM API support are here — see the release notes.
MCPSafari: Native Safari MCP Server for AI Agents
MCP server to perform various OSINT tasks by leveraging common network reconnaissance tools.
A starting point for Claude Code to Codex collaboration
allows AI to control the Godot Editor to create scenes, nodes, scripts. It can debug script errors, debugger and output logs.
Agent Browser eliminates the need to configure each MCP server in every client. Connect your clients once to Agent Browser, and it will manage all your Server-Sent Events (SSE) MCP servers for you.
移动端 AI 自动化测试平台 —— MCP 工具 + AI Agent + 可视化操控台
MCP server to extract contents from a PDF file
OpenPets is a native macOS desktop pet for visible agent progress, review prompts, completion states, and lightweight animations across local coding tools.
Agent Skills
A reusable AI learning skill for mastering almost any subject through project-driven learning, mastery checks, and authoritative sources.
Nominal's agent skills: packaged instructions that coding agents can load to perform a focused task.
A framework-agnostic, git-native standard for defining AI agents
科研写作助手 (Research Writing Assistant)
Pi extension for async subagent delegation with truncation, artifacts, and session sharing
One brain, many harnesses. Portable .agent/ folder (memory + skills + protocols) that plugs into Claude Code, Cursor, Windsurf, OpenCode, OpenClaw, Hermes, or DIY Python — and keeps its knowledge...
A skill family for shaping the research storyline of CCF-A papers.
PhyAgentOS is a Recursive Self-Improving (RSI) physical agent operating system that enables agents to recursively self-improve through agentic workflows.
东方编辑部 × 数字山水风交互式知识图谱 — 双击 HTML 文件即可在浏览器中探索。搜索、社区图例、聚焦筛选、节点视觉分层、社区轻量地图、统一社区抽屉、悬停预览、轻量摘要、明确进入阅读、Shift 多选、画布缩放拖拽和小地图定位，全部离线运行，不依赖服务器。
Make any LLM talk like a normal person. A system prompt that removes AI slop.
Delegate coding to agents. Improve the loop around them.
Intelligent prompt optimization for Claude Code. It injects the right context at the right moment - at prompt submit, tool use, and subagent start - so Claude has what it needs before it acts.