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
This project implements a Model Context Protocol (MCP) server for GitHub API access. It provides a set of tools that allow LLM agents to interact with GitHub repositories, issues, pull requests, and...
Maintenance of a set of tools to enhance LLM through MCP protocols.
An MCP Server to enable global access to Rememberizer
A simple note-taking MCP server for recording and managing notes with AI models.
MCP Server for Perses
AI-powered FL Studio control via the Model Context Protocol. Beyond piano-roll notes — full in-DAW mixing (Mix Doctor, gain staging, EQ/comp/reverb, reference matching), routing, and composition...
Sweet Home 3D plugin that embeds an MCP server — lets Claude control Sweet Home 3D over HTTP
An MCP server for code reviews using OpenAI and Google models for Claude-code
Use MCP to control Recaf4.0 to achieve methods like decompile/rename
A lightweight Model Context Protocol (MCP) server that enables AI assistants like Cursor & Claude to read from and write to your Obsidian vault.
Give your AI assistant its own AI assistants.
The Descope Model Context Protocol (MCP) server provides an interface to interact with Descope's Management APIs, enabling the search and retrieval of project-related information.
Agent Skills
Collection of Apify agent skills
Cursor plugin specification and official plugins
A practical Claude Code guide with clear mental models and copy-paste examples — setup, prompt engineering, slash commands, skills, hooks, subagents, agent teams, and MCP servers.
Provider-neutral Agent Skill for Codex, Claude Code, and agentic harness design.
-- Only 1.6% of Claude Code's codebase is AI decision logic. The other 98.4% is deterministic infrastructure -- permission gates, context management, tool routing, and recovery logic.
Open-Source Multi-Agent AI Assistant — Not Just Chat, an AI Team That Gets Things Done
Planby is a React based component for a quick implementation of Epg, schedules, live streaming, music events, timelines and many more ideas.
Nothing is more valuable than time and money. In a world of AI agents, that's speed and token spend. A well-designed CLI is muscle memory for an agent: no hunting through docs, no wrong turns, no...
Build tested agent skills and govern their lifecycle through a user-defined marketplace: evidence, discovery, updates, rollback, quarantine, and 17-platform distribution.
10 design principles for building agent-ergonomic apps.
Review pull requests for bugs, risky changes, missing tests, and release notes.
动手学CS146S中文版课程，包含assignments，vibe coding工具等，本项目将长期持续维护，致力于打造中文最好的vibe coding教程。