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

执行 uvx mijiaAPI login -p /path/to/auth.json 登录后,在 MCP 客户端配置中添加以下内容即可接入米家:

❤️ Generate mermaid diagram and chart with AI MCP dynamically.

"You never truly know the value of a moment until it becomes a memory."

An MCP server for interacting with Google Colab

Convert Any OpenAPI V3 API to MCP Server

An open-source, bilingual, AI-native Web3 curriculum for beginners, builders, and agents. 11 modules, 62 lessons, AI Tutor, badges, SEO prerendering, llms.txt, and a read-only MCP server.

AST-based call graph analysis + semantic search — right from your terminal.

这是一款基于 Playwright 开发的小红书自动搜索和评论工具,作为 MCP Server,可通过特定配置接入 MCP Client(如Claude for Desktop),帮助用户自动完成登录小红书、搜索关键词、获取笔记内容及发布AI生成评论等操作。

MCP server for the Cloudflare API

An MCP service for deploying full-stack projects to EdgeOne Makers and obtaining publicly accessible URLs.

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MCP to allow AI agents to control Unreal
Agent Skills

Welcome to the course on Context Engineering for AI. It covers the principles, techniques, and practices for building robust, reliable, and efficient AI systems — from a single well-designed prompt...

This repository is my Pi coding agent home directory. I keep it under version control and symlink it to ~/.pi/agent so Pi loads configuration, extensions, skills, and runtime state from here.

The most Token-efficient open-source AI Agent

An omni-plugin for harness engineering workflows with multi-agents, programmatic gates and skills.

a code review TUI with vim keybindings

CLI for Chunk — inner loop validation for software teams building with AI agents.

Browser4 — an AI-native browser engine for autonomous agents, intelligent extraction, and large-scale web automation.

GitHub’s official command line tool

Opinionated Oxlint rules for rejecting low-evidence TypeScript and JavaScript patterns

Agentic Orchestration Control is an explicit-only npm control room for Codex orchestration. The global npm package installs the Codex skill into ~/.

Optimized prompt seeds for building better AI agent skills, instructions, and workflows.

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