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

一个用于检测Model Context Protocol (MCP)安全性的Chrome扩展工具。

A Model Context Protocol (MCP) server that provides seamless integration with the Postman API. This package enables AI assistants and applications to interact with Postman workspaces, collections,...

MCP server for interacting with CodeRabbit AI reviews on GitHub pull requests

Minimal Metals stand alone client that allows running the metals mcp server

Self-hosted, OpenAI-compatible RAG API + MCP server that plugs local knowledge into existing LLM clients.

Tiger GitHub MCP server

Official Anam AI MCP server for managing AI avatars

This project provides a set of tools for Anthropic's Model Context Protocol (MCP), allowing AI assistants to securely and effectively interact with external systems, data sources, and utilities.

An MCP (Model Context Protocol) server for the Local Falcon local SEO and AI Visibility platform

Official Porkbun MCP server — exposes the Porkbun v3 API as 30 native tools for Claude Desktop, Cursor, and other AI agents. Idempotency-safe writes, full domain lifecycle.

A unified plugin for developers integrating MCP servers into modern JavaScript build tools, including Webpack, Rollup, Vite, and more.

A Model Context Protocol (MCP) server that provides seamless access to SigNoz observability data through AI assistants and LLMs.
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).