Claude Desktop インストールガイド
ローカル MCP 設定に対応するデスクトップクライアント。
MCP Servers
Kernel-level sandboxing for LLM agent tool calls made through the Model Context Protocol (MCP).
A lightweight wrapper around mcp-swift-sdk that integrates with LLM Swift libraries such as SwiftOpenAI and SwiftAnthropic to easily create your own MCP Clients in macOS applications.
One-command installer for integrating Google NotebookLM with OpenClaw via MCP.
MCP server for fetch web page content using Playwright headless browser.
ops-mcp-server is an IT operations management solution for the AI era. It achieves intelligent IT operations through the seamless integration of the Model Context Protocol (MCP) and Large Language...
mcp_dart is a dual-era Dart and Flutter SDK for MCP clients, servers, and AI hosts. It implements the complete core client/server wire surface of the locked MCP 2026-07-28 specification, retains the...
"The question is not what you look at, but what you see." — Henry David Thoreau
This project demonstrates how to build a multi-agent system using Agent-to-Agent (A2A) communication with the Model Context Protocol (MCP).
Agent OS: the agent gets smarter on its own. We just hold the line: Interview-gated, staged evaluation, budgeted evolution loop.
MCP-сервер для проверки синтаксиса 1С:Предприятие с автоматической инициализацией.
A GitHub CLI extension that seamlessly runs the github-mcp-server as a bundled binary using your existing gh authentication.
Expose llms-txt to IDEs for development
Agent Skills
Agent Harness完整架构和核心模块开发指导手册 - 参考生产级Agent源码：Claude Code，OpenCode，OpenClaw和Hermess
Agent skills extracted from real work. Each one shipped something first.
Personal Codex skills (drop-in folders under ~/.agents/skills/). Catalog: https://jmerta.github.io/codex-skills/
Open the interactive guide to learn more about the Skill
AI agent plugin for Jira — CLI tools for issues, worklogs, sprints, and more | Server/DC & Cloud
Chainstack is the leading suite of services connecting developers with Web3 infrastructure
A structured Agent workflow for CUMCM, MCM/ICM, and Diangong Cup — designed to keep a 72–96 hour modeling project coherent from the first decision to the final submission.
🧠 plan · 🔨 implement · 🔍 review · ✅ QA gate · 🚢 merge Thirty-five agent skills that run a full PR pipeline. Install them into any repo, with any coding agent.
for creating, directing, validating, and delivering image, video, audio, voice, music, 3D, avatar, and interactive media.
Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.
SimReady Foundation is a central repository for defining simulation content specifications based on various runtime use cases.
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