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
一个功能强大且易用的 MySQL 数据库 MCP（Model Context Protocol）服务器，支持 AI 助手安全地操作 MySQL 数据库。
— Turn your codebase into always-current documentation, so engineers and AI never read outdated docs again.
This MCP (Model Context Protocol) server provides integration between Merge API and any LLM provider supporting the MCP protocol (e.g.
An MCP (Model Context Protocol) server that chains calls to other MCP tools, reducing token usage by allowing sequential tool execution with result passing. Designed to solve https://github.
A MCP server that is a locally running knowledge base with a hybrid vector and graph RAG engine using LightRAG
Your Obsidian vault, exposed to Claude and any MCP client. Runs inside Obsidian, on-device semantic search, no cloud round-trip, no binary to download.
Python MCP server providing AI coding assistants with OpenTelemetry documentation, examples, and instrumentation guidance
MCP server enabling AI assistants to read and write GnuCash accounting data
Enable AI to debug PHP with Xdebug
A Model Context Protocol (MCP) server for interacting with the Godot game engine.
Craft reusable prompts with validation and reasoning guidance. Orchestrate agentic workflows with a composable operator syntax. Export as native skills.
A Model Context Protocol (MCP) stdio server that exposes Discourse forum capabilities as tools and resources for AI agents.
Agent Skills
Generate and evaluate agent skills based on traces with agents. Create skills with teacher models (expensive/slow) that student models (cheap/fast) can use to perform harder tasks reliably.
(asm) is a scriptable CLI built for AI agents and automation — install, search, audit, and organize skills across Claude Code, Codex, Cursor, and 16 more tools.
Codex skills for translating market information into testable investment research frameworks.
A collection of Agent skills and Claude Code plugins for HashiCorp products.
An Agent Skill that reviews scientific and engineering manuscripts for writing quality, applying the methodology from Dr. Kristin Sainani's Writing in the Sciences course at Stanford (2012).
The central challenge in AI development isn't a lack of ideas, but the inconsistent process of turning them into robust, reliable skills.
Experimental skill — will iterate over time. Please send your feedbacks in github issues.
Reusable Agent Skills for single-page SEO auditing. Give it a URL — get a structured HTML report with actionable findings.
The easiest way to evaluate your Agent Skills. Tests that AI agents correctly discover and use your skills.
AI-powered article illustrations with intelligent position detection and cover learning system. Claude Code Skill.
基于 Sorftime MCP 服务和 Claude Skills 的亚马逊分析工具集。
See the Feishu doc version of this intro (with usage-scenario showcases).