Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers

Context compression for AI coding agents: compresses tool output before it enters the model, dedups repeats to 13-token refs. Claude Code, Cursor, Codex, Kiro, Zed, any MCP client.

MaverickMCP - Personal Stock Analysis MCP Server

The Ultimate Google Docs, Sheets, Drive, Gmail, & Google Calendar MCP Server. This MCP (primarily for use in Claude Desktop) gains full access to your google suite and lets claude do its thing.

MCP Server for Turkish & American Stock Exchange and Fund Data

An MCP server for interacting with Sentry via LLMs.

Talk to a Cloudflare Worker from Claude Desktop!

Clojure MCP

MCP to connect your LLM with Spotify.

Biologically-inspired memory for AI agents. Decay, retrieval strengthening, consolidation. Zero runtime deps, SQLite, MCP. Benchmarked retrieval with an opt-in TypeSafe Jev reranker.

Claude spawning scene objects and controlling their transformations and materials, generating blueprints, functions, variables, adding components, running python scripts etc.

This repo contains the source code for running an MCP server that interacts with the Google Ads API.

Autonomous bug-bounty framework for Claude Code and 6 other AI coding tools — 50 agents, 26 commands, 19 CLI tools, 11 skills, 2 MCP servers.
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