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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

MCP server that gives any LLM its own computer — managed Docker workspaces with live browser, terminal, code execution, document skills, and autonomous sub-agents.

Real reap --agent output, run against a generated sample stack ( hero-fixture.sh ) — not anyone's install. The numbers further down are measured on mine.

Open security engineering for code written by humans and AI agents. Discover. Repair. Verify.

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.

MCP-based assistant for busy people who are context switching

Point Claude at any audio file and it can tell you the key, tempo, dynamics, timbre, percussive character, stereo field, structural sections, and how the music evolves over time -- all from raw audio...

Thunderbird MCP gives an AI agent real control of the Thunderbird already running on your machine — your mail, your folders, your contacts, your calendar, your filters, and your actual settings.

A self-modifying, self-verifying AI agent with persistent state. Reads its own source code. Plans changes. Tests them in a sandbox before applying.

makes it easy to deploy and serve Haystack Pipelines and Agents.

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

(pronounced arc one [ɑːrk wʌn]) — Enterprise-ready MCP server for SAP ABAP systems. Secure by default, deployable to BTP or on-premise, and hardened with large unit/integration/E2E test coverage.

This repository contains a complete tutorial on how to create an MCP (Modular Computational Platform) client in Python using FastAPI.
Agent Skills

Skills helping you write robust Zig code.

A coding agent harness built specifically for Motif-3

Official plugin marketplace repository for PI-Desktop

ReasBook main branch mirror for self-hosted CI

A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference

本项目基于通义千问(qwen-plus)大模型构建AI Agent智能采购管理系统,专为摩托车零部件采购场景打造。系统与现有Java ERP后端深度集成,覆盖供应商智能分析(信用评级与供货能力对比)、采购订单全生命周期管理(创建、修改、审批流转)、库存预警与出入库自动化管控,以及零部件多维度检索与供应商关联查询等核心业务环节。

DeepSeek 自带破甲 18+ 互动叙事:活人感 NPC(自主决策/拒绝迎合)、52 个世界与上千素材、开局随心定制、世界自行运转、全维 YAML 存档。

Tailwind CSS v4 plugin for smooth easing gradients

A 股板块轮动 & 强势板块识别 Claude Code Skill — 双源(同花顺/开盘啦)对照, 4 接口 + 4 高级 helper + CLI

CubeLoop — a Pythonic, async-native agent harness core designed for high performance, readability, and production-grade persistence.

Route Snowflake operations from any coding agent (Claude Code, Cursor, Codex, Github Copilot, Windsurf, VSCode etc) to Cortex Code CLI — with smart routing, security envelopes, and headless execution.

你给一个故事,它还你一套能直接拿去出图、出视频的上美影短剧制作文档。** "上美影"= 上海美术电影制片厂,就是《大闹天宫》《天书奇谭》《九色鹿》那种复古手绘动画的味道——概括的造型、手工感的线条、大片平涂的矿物颜料色。