Claude Desktop 安装指南
支持本地 MCP 配置的桌面客户端。
MCP Servers

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.

A Model Context Protocol (MCP) server that provides comprehensive access to MLB statistics and baseball data through a FastMCP-based interface.

Official remote MCP server for Trello.

MCP server for analyzing & generating docs for React code locally

🚀 MCP aggregator for batching multiple tool calls into a single request. Reduces overhead, saves tokens, and simplifies complex operations in AI agent workflows.

An MCP that gives your agent the ability to snap a screenshot of webpages. Useful when you want your agent to check its progress during development.

Connect Claude and ChatGPT to KDAN PDF — upload, edit, compress, protect, redact, and compare PDFs in chat.

An MCP (Model Context Protocol) server that enables comprehensive research capabilities for Claude

Atari Lynx emulator, debugger, and embedded MCP server for macOS, Windows, Linux, BSD and RetroArch.

A guide on how to use the Amplitude MCP server

A model context protocol (MCP) server for Autodesk Fusion that provides resources and tools from ADSK to an AI client such as Claude or Cursor.

HA-MCP Custom Component - HACS distribution mirror of homeassistant-ai/ha-mcp (integration only)
Agent Skills

通用盗号网站注册轰炸机 适用于针对QQ、Steam等平台的各类盗号网站

A to run (Anthropic) on the host via the claude CLI (Agent SDK).

A compact high-signal benchmark for evaluating frontier agents

这是一个面向 LSPosed 模块开发 的低 Token Skill 包。它保留完整知识,但通过“启动版 + 按需知识库 + 模板 + 案例索引”的结构降低常驻上下文占用。

simple, type safe, elegant command line framework. the CLI framework for agents

Skills helping you write robust Zig code.

A coding agent harness built specifically for Motif-3

Official plugin marketplace repository for PI-Desktop

ReasBook main branch mirror for self-hosted CI

A single, readable bash script that takes a fresh Ubuntu/Debian VPS from default install to a hardened, ready-to-use server.

Skill for Hermes, and other agents, to ask typesafe's jev

A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference