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

A comprehensive Model Context Protocol (MCP) server that gives AI assistants over the Godot game engine.

AI-Powered Design Workflow Automation Connect Claude AI and other LLMs to Penpot designs via Model Context Protocol

MCP Server implementation for Ableton Live OSC control

MCP server for Todoist integration enabling natural language task management with Claude

A Model Context Protocol (MCP) server that connects OmniFocus to Claude and other MCP-compatible AI assistants.

🎵 MCP server for AI-assisted live-coding music via strudel.cc Not affiliated with, or endorsed by, the Strudel project.

An advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.

This bridge implements Anthropic's discovery pattern with rootless security—reducing MCP context from 30K to 200 tokens while proxying any stdio server.

Apache Doris MCP Server

A Model Context Protocol (MCP) server for interacting with Ghost CMS through LLM interfaces like Claude.

A Model Context Protocol (MCP) server that enhances Claude's ability to solve complex programming tasks through structured, step-by-step thinking.

A Model Context Protocol (MCP) server implementation that provides Elasticsearch and OpenSearch interaction.
Agent Skills

Compatible with 13,000+ OpenClaw community skills — the largest AI agent skill ecosystem. One command to search and install.

Main Agent spawns Subagents like a hen with her chicks 🐔🪺🐦

An EasyEDA Pro API skill package for AI coding tools such as Claude Code, OpenCode, QwenCode, and any other tool that supports the Agent Skills standard.

The open-source desktop AI agent that gets work done — an agent that plans and self-corrects, agentic visual workflows, generative UI, and 100+ offline tools in a single self-hostable stack.

agnix Lint agent configurations before they break your workflow

Together they produce a structured Markdown test plan and a findings report with 10-state verdicts and an explicit SUT / harness / checker / environment blame classification.

A multi-agent marathon simulation built with Google ADK and Gemini. AI agents plan a marathon route through Las Vegas, simulate the environment around it (weather, traffic, crowds), and run the race...

一句话:输入一个基金代码,Agent 把基金经理 8 年的每一笔买卖翻出来,拿 12 个月后的真实走势逐笔验对错,最后吐出一份 700KB 的单文件交互报告——K 线战役回放、买卖点验尸、独立性审判、造神检测,全都有。

Local-first harness for agent-built codebases. Humans steer, agents execute, maestro is the substrate.

ProductSpec is the open standard for product intent. It acts as a Product Harness for AI-native software work: what to build, what not to build, how to prove completion, and when intent changes.

AI coding agents are great at Python. They hallucinate in Spring Boot.

- Manage Claude Code, OpenAI Codex, Google Gemini, OpenCode, and custom AI agents from one powerful command-line interface.