Cursor インストールガイド
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
A curated list of awesome OpenAI Codex plugins, skills, and resources.
Run /digital-marketing-pro:engagement against each brand. Same 12-Part Strategy Flow, same Four Core Documents, same 61-step structure — auditable across the entire portfolio in ~60 minutes per brand...
A set of Agent Skills that take a change from a vague idea to shipped, verified, documented code, for any AI coding agent. One skill per phase. Run only the ones a change needs, in any order.
Packages OpenClaw for nix.
这是悟鸣公开维护的一组 Agent Skills，偏实战、偏工作流，主要服务于 AI 工具使用、文档解读、项目配置、运维排障与技能分发。
Analyze a GitHub repository and summarize install steps, activity, risks, and alternatives.
A structured development workflow for AI coding agents that brings , , and (only humans should) to AI-assisted development. TRIP helps you enter flow state and eat features like buttered noodles.
Programmatic memory for long-horizon LLM agents: the harness appends everything to one log, and the agent searches it with code. 97.4% on ARC-AGI-3 (arXiv:2607.20064)
Define instructions, skills, agents, MCP servers, hooks, workflows, and policies once. Compile native configuration for 49 AI coding platforms.
We've all been there: asking Claude to use Entity Framework, only to get EF6 patterns in a .NET 8 project. Explaining to Copilot that Blazor Server and Blazor WebAssembly aren't the same thing.
Fastest-growing GitHub repo ever - 9K to 195K stars in 66 days (18x faster than Kubernetes)
Research-first Agent Skills for Deep Learning Experiments.