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

Inspect schemas and run controlled read queries against PostgreSQL databases.

The Typescript MCP Framework

gcloud MCP server

TL;DR: End-to-end documentation to set up your own local & fully private LLM server on Debian. Equipped with chat, web search, RAG, model management, MCP servers, image generation, and TTS, along...

It's a plugin extension in Zotero. Zotero MCP Plugin enables integration between AI assistants and Zotero through MCP. Zotero MCP Plugin 是一个 Zotero 插件,通过 MCP协议实现 AI 助手与 Zotero深度集成。

A Model Context Protocol (MCP) server that reads and writes MS Excel data

A professional, config-driven backtesting framework for algorithmic trading, built on Backtrader. Seamlessly test, optimize, and integrate trading strategies with Large Language Models (LLMs) across...

Alpaca’s official MCP Server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs

RhinoMCP connects Rhino 3D to AI Agent through the Model Context Protocol (MCP)

A Model Context Protocol (MCP) server that facilitates structured, progressive thinking through defined stages.

Bridge between Ollama and MCP servers, enabling local LLMs to use Model Context Protocol tools

Core PHP implementation for the Model Context Protocol (MCP) server
Agent Skills

AetherViz Master - 互动教育可视化建筑师,将任意教学主题转化为沉浸式3D交互网页

HEY CLI and Agent Skills

High-performance AI coding agent CLI written in Rust with zero unsafe code

A visual tool to edit HTML and Markdown files, leave comments like a Google Doc, and send feedback to your AI agent. Works inside your favorite AI harness.

A multi-agent workflow system for GitHub Copilot in VS Code that brings structure, quality gates, and long-term memory to AI-assisted development.

Generate realistic synthetic security logs for cybersecurity threat hunting training and research.

A comprehensive development toolkit designed following Anthropic's Claude Code Best Practices for AI-assisted software development.

Powered by , this project orchestrates 14 , each modeled after world-class experts in their domain. They ideate products, make decisions, write code, deploy, and market - without human intervention.

The Pi extensions and skills I use to keep long agent sessions useful without building a fake operating system around them.

Tell your coding agent to do real, multi-step work, then Smithers runs it for minutes or days: watch every step live, gate the risky ones behind human approvals, and rewind, fork, or replay any run.

[Documentation] [Quick Start] [简体中文] [Tiếng Việt]

An open standard for shared agent learning. Agents persist, share, and query collective knowledge so they stop rediscovering the same failures independently.