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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
for creating, directing, validating, and delivering image, video, audio, voice, music, 3D, avatar, and interactive media.
Roslynator is a set of code analysis tools for C#, powered by Roslyn.
Skills shared by Baoyu for improving daily work efficiency with AI Agents (Claude Code, Codex, etc.).
Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.
ThirdSpace Knowledge OS — 知识库操作系统模板。Agent-native，零配置，任意 AI Agent 均可驱动。
Qiushi-Skill: Build agents that investigate first, focus on the main contradiction, validate in practice, and keep pushing until the work is actually done.
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A flutter widget that provides pull-down refresh and pull-up load.
Evidence-first operating system for agents
The awesome collection of OpenClaw skills. 5,400+ skills filtered and categorized from the official OpenClaw Skills Registry.🦞
Fluent argument validation for fluent software development.