Claude Desktop Руководство установки
Десктопный клиент с поддержкой локальной конфигурации MCP.
MCP Servers

A docker MCP Server (modelcontextprotocol)

微信读书MCP

An MCP for WireShark (tshark). Empower LLM's with realtime network traffic analysis capability

A Model Context Protocol (MCP) server that enables AI agents and LLMs to query and analyze Prometheus metrics through standardized interfaces.

An implementation of Model Context Protocol (MCP) server for Argo CD.

Stata MCP Extension for VS Code, Cursor, and Antigravity IDE

Cross-device clipboard sync for macOS, Windows & Linux — end-to-end encrypted, LAN-only, no cloud. OCR, CLI and MCP server built in.

An experimental Model Context Protocol (MCP) server that provides AI assistants with powerful structural code search capabilities using ast-grep.

Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 287 commands, 246 MCP tools, change-safety gates, audit evidence, zero API keys.

MCP server that execute applescript giving you full control of your Mac

Real-time data — and real trades — for Claude and any AI agent.

Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure.
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