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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers

Multi-agent code review mesh — orchestrates AI agents from multiple providers to review code in parallel, cross-review each other's findings, and build accuracy profiles over time.

XCode CLI MCP: Convenience wrapper for Xcode CLI tools & iOS Simulator. Progressive disclosure of tool responses to reduce context usage. Use --mini param for build-only with tiny context footprint.

Open-source infrastructure for AI agents — each gets an email address, folder, inbox, and API key. Move files through named inboxes instead of shared cloud credentials; signed receipts and MCP built...

The only MCP Server you need. Connect any MCP host with the tools you use daily through our no-code, secure integration hub.

把 Google Antigravity 的 Nano Banana 生图能力封装成 MCP Server,让任何支持 MCP 的 AI 客户端都能画图。

基于 SunnyNet 中间件和 SunnyNetTools 抓包工具扩展的 MCP Server

Unify every AI agent on ONE local shared memory over MCP. Obsidian vault + gbrain (by Garry Tan) + Ollama. 100% offline, $0 API. Orchestrate with OpenClaw or Hermes.

"Reduce system lag by 99%, eliminate loading times, and cut token costs by 90%."

🌉 Local-first Proton Mail MCP and CLI through Proton Bridge. Search, read, draft, send, sync, and act on mail from Claude Desktop or Terminal.

Wavelet-based multi-resolution context management for LLMs via MCP.

AI assistants are powerful, but they struggle with Kubernetes because:

Issue tracking for the agentic coding era. One binary. One SQLite database (plus an attachments dir). MCP built in.
Agent Skills

A Codex skill that turns a startup URL or product idea into a qualified shortlist of potential first customers using recent public pain, demand, and timing signals.

A collaborative list of awesome Helm resources.

The autonomous research agent that beats Claude Code and Codex by 2.5× on the same compute budget

Agent skill that audits vibe-coded apps for common security vulnerabilities introduced by AI coding assistants

The MATLAB Agentic Toolkit brings trusted MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.