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
A Model Context Protocol server for connecting Notion to MCP-compatible clients
MCP server implementation for Keycloak user management. Enables AI-powered administration of Keycloak users and realms through the Model Context Protocol (MCP).
MCP server for Aster DEX — a Model Context Protocol server that gives Claude, Cursor and Cline structured access to Aster DEX market data, volume, points and airdrop eligibility via natural language.
Model Context Protocol server for Flight Tracking
A multi-model AI agent desktop client — connect any AI provider, extend with MCP & skills, control from your phone. Built with Electron + Next.js.
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
Build effective agents using Model Context Protocol and simple workflow patterns
Memory Bank MCP Structured project knowledge management for LLMs via Model Context Protocol (MCP)
Meilisearch | Meilisearch Cloud | Documentation | Discord
MCP server for Atlassian tools (Confluence, Jira)
Jira,Wiki MCP
Model Context Protocol (MCP) server for Hostinger API.
Agent Skills
为 AI coding agent（Claude Code / Codex CLI 等）打造的 Skill 分层路由树生成器。把臃肿的单体 Skill 拆分/聚合成 ROOT → ROUTER → SKILL 的树形结构，让 agent 根据用户意图按需加载子能力，避免一次性塞满上下文。支持单 Skill 拆树、多 Skill 聚合（含歧义消解）、增量扩展三种模式，兼容 .
Agent skill for beautiful, verifiable architecture, workflow, sequence, data-flow, and lifecycle diagrams—self-contained HTML with motion and crisp export.
搭子.skill / Partner：Claude Code 负责规划、润色和审查，Codex 负责实现、监控和验收。Same-session receipts prove no wasted Claude cold starts.
AI skills and technical recruiting knowledge for modern HR and talent acquisition teams.
Curated agentic AI skills for AWS platform engineering, delivered through any coding agent
The open-source skill registry for AI coding agents. Create, manage, and distribute SKILL.md files across Openclaw, Claude Code, Cursor, Codex, OpenHands, Antigravity, and more.
An AI agent skill that turns "start + days" into a road trip you can actually drive.
A curated list of essential skills, tools, and resources for building and enhancing advanced AI agents.
Keep your skills sharp. Intelligence for agent context.
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The real-time engine for AI agents on the JVM. Tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe — over WebSocket, SSE, long-polling, or gRPC, and...
Lightweight AI assistant framework in Rust with pluggable LLM providers (Ollama, llama.cpp, vLLM), built-in tool calling, agent skills, and customizable system prompts.