[
  {
    "id": "codegraph",
    "name": "CodeGraph",
    "repositoryUrl": "https://github.com/colbymchenry/codegraph",
    "description": "將程式碼符號與呼叫關係建立為 SQLite 知識圖譜，供 AI 代理一次查詢完整脈絡與爆量影響範圍。",
    "category": "MCP Server",
    "platforms": ["Windows", "Linux", "macOS"],
    "required": true,
    "installedVersion": "1.3.0",
    "install": {
      "manager": "npm",
      "command": "npm install -g @colbymchenry/codegraph"
    },
    "mcpCommand": "codegraph serve --mcp",
    "cliCommands": ["codegraph init", "codegraph explore \"<query>\""],
    "dependencies": ["Node.js 20+"],
    "environmentVariables": [],
    "tags": ["MCP", "KnowledgeGraph", "CodeNavigation", "AI"],
    "notes": "於專案根目錄建立 .codegraph/ 索引，AI 代理可透過 MCP codegraph_explore 工具查詢。"
  },
  {
    "id": "codebase-memory-mcp",
    "name": "Codebase Memory MCP",
    "repositoryUrl": "https://github.com/DeusData/codebase-memory-mcp",
    "description": "將程式碼庫建立為持久知識圖譜的 MCP server，毫秒級索引 158 種語言（tree-sitter），提供架構分析、呼叫圖追蹤、語意搜尋與 Git diff impact mapping。",
    "category": "MCP Server",
    "platforms": ["Windows", "Linux", "macOS"],
    "required": false,
    "install": {
      "manager": "npm",
      "command": "npm install -g codebase-memory-mcp"
    },
    "mcpCommand": "codebase-memory-mcp",
    "altInstall": "npx -y codebase-memory-mcp · pip install codebase-memory-mcp · uvx --from codebase-memory-mcp",
    "cliCommands": ["codebase-memory-mcp install（自動設定 Claude Code）", "codebase-memory-mcp（啟動 MCP server）"],
    "dependencies": ["Node.js 20+ 或 Python 3.10+"],
    "environmentVariables": [],
    "tags": ["MCP", "KnowledgeGraph", "CodeIntelligence", "TreeSitter"],
    "notes": "install 指令會自動偵測 Claude Code 並寫入 ~/.claude.json（建立 skill + Scout/Verify/Auditor graph agents + lifecycle hooks）。與 CodeGraph、Serena 同類，但支援 158 語言與架構級分析、Hybrid LSP 型別解析。"
  },
  {
    "id": "context7",
    "name": "Context7 MCP",
    "repositoryUrl": "https://github.com/upstash/context7",
    "description": "提供最新套件文件與版本特定範例給 AI 代理，避免使用過時 API。",
    "category": "MCP Server",
    "platforms": ["Windows", "Linux", "macOS"],
    "required": true,
    "install": {
      "manager": "npx",
      "command": "npx -y @upstash/context7-mcp"
    },
    "dependencies": ["Node.js 20+", "npm"],
    "environmentVariables": [],
    "tags": ["MCP", "Documentation", "AI"],
    "notes": "多份 2026 MCP 推薦清單評為最可靠的文件 MCP。"
  },
  {
    "id": "sequential-thinking",
    "name": "Sequential Thinking MCP",
    "repositoryUrl": "https://github.com/modelcontextprotocol/servers",
    "description": "ModelContextProtocol 官方循序思考伺服器，協助 AI 進行動態、可修正的多步驟推理。",
    "category": "MCP Server",
    "platforms": ["Windows", "Linux", "macOS"],
    "required": true,
    "install": {
      "manager": "npx",
      "command": "npx -y @modelcontextprotocol/server-sequential-thinking"
    },
    "dependencies": ["Node.js 20+", "npm"],
    "environmentVariables": [],
    "tags": ["MCP", "Reasoning", "Official", "AI"],
    "notes": "官方 servers 集合中的推理伺服器。"
  },
  {
    "id": "mcp-fetch",
    "name": "Fetch MCP",
    "repositoryUrl": "https://github.com/modelcontextprotocol/servers",
    "description": "ModelContextProtocol 官方抓取伺服器，讓 AI 取得網頁內容並轉為 Markdown。",
    "category": "MCP Server",
    "platforms": ["Windows", "Linux", "macOS"],
    "required": false,
    "install": {
      "manager": "uvx",
      "command": "uvx mcp-server-fetch"
    },
    "dependencies": ["Python 3.10+", "uv"],
    "environmentVariables": [],
    "tags": ["MCP", "Fetch", "Web", "Official"],
    "notes": "透過 uvx 執行，需先安裝 uv。"
  },
  {
    "id": "mcp-filesystem",
    "name": "Filesystem MCP",
    "repositoryUrl": "https://github.com/modelcontextprotocol/servers",
    "description": "官方檔案系統 MCP，讓 AI 在指定允許目錄內讀寫、搜尋、移動檔案。",
    "category": "MCP Server",
    "platforms": ["Windows", "Linux", "macOS"],
    "required": true,
    "install": {
      "manager": "npx",
      "command": "npx -y @modelcontextprotocol/server-filesystem <允許的目錄路徑>"
    },
    "dependencies": ["Node.js 20+", "npm"],
    "environmentVariables": [],
    "tags": ["MCP", "Filesystem", "Official", "Core"],
    "notes": "公認必備的核心 MCP。須明確指定允許存取的目錄以控管權限。"
  },
  {
    "id": "playwright-mcp",
    "name": "Playwright MCP",
    "repositoryUrl": "https://github.com/microsoft/playwright-mcp",
    "description": "微軟官方瀏覽器自動化 MCP，讓 AI 操控瀏覽器進行 E2E 測試、截圖、表單填寫與網頁互動。",
    "category": "MCP Server",
    "platforms": ["Windows", "Linux", "macOS"],
    "required": false,
    "install": {
      "manager": "npx",
      "command": "npx -y @playwright/mcp"
    },
    "dependencies": ["Node.js 20+", "npm"],
    "environmentVariables": [],
    "tags": ["MCP", "Browser", "Testing", "Microsoft", "Automation"],
    "notes": "多份清單評為瀏覽器自動化首選 MCP。首次執行會自動安裝瀏覽器。"
  },
  {
    "id": "mcp-memory",
    "name": "Memory MCP",
    "repositoryUrl": "https://github.com/modelcontextprotocol/servers",
    "description": "官方知識圖譜記憶 MCP，讓 AI 跨對話保留實體（entities）、關係與觀察。",
    "category": "MCP Server",
    "platforms": ["Windows", "Linux", "macOS"],
    "required": false,
    "install": {
      "manager": "npx",
      "command": "npx -y @modelcontextprotocol/server-memory"
    },
    "dependencies": ["Node.js 20+", "npm"],
    "environmentVariables": [],
    "tags": ["MCP", "Memory", "KnowledgeGraph", "Official"],
    "notes": "資料以 JSON 檔持久化於本機，適合長期專案記憶。"
  },
  {
    "id": "mempalace",
    "name": "MemPalace",
    "repositoryUrl": "https://github.com/mempalace/mempalace",
    "description": "Local-first AI 記憶系統（MCP server + CLI + Python library）。逐字儲存對話、語意搜尋、知識圖譜與 agent memory，36 個 MCP tools，LongMemEval 召回率 96.6%。",
    "category": "MCP Server",
    "platforms": ["Windows", "Linux", "macOS"],
    "required": false,
    "install": {
      "manager": "uv",
      "command": "uv tool install mempalace"
    },
    "mcpCommand": "mempalace mcp",
    "altInstall": "pipx install mempalace · docker run -i --rm -v mempalace-data:/data mempalace",
    "dependencies": ["Python 3.9+", "uv"],
    "environmentVariables": [],
    "tags": ["MCP", "Memory", "KnowledgeGraph", "LocalFirst", "VectorDB"],
    "notes": "與官方 Memory MCP 互補：mempalace 是完整 local-first memory 系統（向量搜尋 + 多後端 ChromaDB / Milvus / Qdrant / pgvector）。內建 Claude Code、Codex CLI、Cursor 的 auto-save hooks。"
  },
  {
    "id": "serena",
    "name": "Serena",
    "repositoryUrl": "https://github.com/oraios/serena",
    "description": "透過 LSP 提供 40+ 語言的語意程式碼導航、符號級理解、參考查找與跨檔重構，超越列號層級。",
    "category": "MCP Server",
    "platforms": ["Windows", "Linux", "macOS"],
    "required": false,
    "install": {
      "manager": "uv",
      "command": "uv tool install -p 3.13 serena-agent"
    },
    "cliCommands": ["serena init", "serena start-mcp-server"],
    "dependencies": ["uv", "Python 3.13"],
    "environmentVariables": [],
    "tags": ["MCP", "LSP", "CodeNavigation", "Refactoring"],
    "notes": "與 CodeGraph 互補：CodeGraph 偏呼叫關係圖譜，Serena 偏 IDE 級符號操作。"
  },
  {
    "id": "github-mcp",
    "name": "GitHub MCP (官方)",
    "repositoryUrl": "https://github.com/github/github-mcp-server",
    "description": "GitHub 官方 MCP，讓 AI 管理 Repository、Issue、Pull Request、程式碼分析與工作流程自動化。",
    "category": "MCP Server",
    "platforms": ["Windows", "Linux", "macOS"],
    "required": false,
    "install": {
      "manager": "docker",
      "command": "docker run -i --rm -p 127.0.0.1:8085:8085 ghcr.io/github/github-mcp-server"
    },
    "remoteEndpoint": "https://api.githubcopilot.com/mcp/",
    "dependencies": ["Docker（本機）或 GitHub 帳號（remote）"],
    "environmentVariables": ["GITHUB_PERSONAL_ACCESS_TOKEN"],
    "tags": ["MCP", "GitHub", "Official"],
    "notes": "推薦使用 remote endpoint（OAuth 登入，token 僅存記憶體）。本機 Docker 模式需 GitHub PAT。"
  },
  {
    "id": "openspec",
    "name": "Fission AI OpenSpec",
    "repositoryUrl": "https://github.com/Fission-AI/OpenSpec",
    "description": "規格驅動開發工具，以 OpenSpec 規範管理功能、變更與任務，讓 AI 依規格實作。",
    "category": "Developer Tool",
    "platforms": ["Windows", "Linux", "macOS"],
    "required": false,
    "installedVersion": "1.6.0",
    "install": {
      "manager": "npm",
      "command": "npm install -g @fission-ai/openspec"
    },
    "cliCommands": ["openspec init", "openspec show"],
    "dependencies": ["Node.js 20+", "Git"],
    "environmentVariables": [],
    "tags": ["Spec", "Workflow", "SpecDriven", "CLI"],
    "notes": "搭配 AI CLI 進行規格驅動開發，先寫規格再實作。"
  },
  {
    "id": "superpowers",
    "name": "Superpowers",
    "repositoryUrl": "https://github.com/obra/superpowers",
    "description": "Claude Code 代理式技能框架，提供 TDD、計畫撰寫、系統化除錯、程式碼審查等標準化工作流。",
    "category": "Claude Plugin",
    "platforms": ["Windows", "Linux", "macOS"],
    "required": true,
    "install": {
      "manager": "claude-plugin",
      "command": "/plugin install superpowers@claude-plugins-official"
    },
    "altInstall": "/plugin marketplace add obra/superpowers-marketplace && /plugin install superpowers@superpowers-marketplace",
    "dependencies": ["Claude Code"],
    "environmentVariables": [],
    "tags": ["Claude", "Plugin", "Skills", "Workflow", "TDD"],
    "notes": "包含 brainstorming、writing-plans、systematic-debugging、test-driven-development 等技能。"
  },
  {
    "id": "ui-ux-pro-max",
    "name": "UI/UX Pro Max",
    "repositoryUrl": "https://github.com/nextlevelbuilder/ui-ux-pro-max-skill",
    "description": "UI/UX 設計智慧 Skill，提供 84 種 UI 風格、192 個產業配色、74 組字體配對，跨 22 種技術棧產生設計系統。",
    "category": "Claude Plugin",
    "platforms": ["Windows", "Linux", "macOS"],
    "required": false,
    "installedVersion": "2.11.0",
    "install": {
      "manager": "claude-plugin",
      "command": "/plugin marketplace add nextlevelbuilder/ui-ux-pro-max-skill"
    },
    "altInstall": "npm install -g ui-ux-pro-max-cli && uipro init --ai claude --global",
    "pluginInstallStep": "/plugin install ui-ux-pro-max@ui-ux-pro-max-skill",
    "cliCommands": ["uipro init --ai claude"],
    "dependencies": ["Claude Code"],
    "environmentVariables": [],
    "tags": ["Claude", "Plugin", "Skill", "UI", "UX", "DesignSystem"],
    "notes": "安裝後對 UI/UX 請求自動啟用。"
  },
  {
    "id": "oh-my-openagent",
    "name": "oh-my-openagent (OMO)",
    "repositoryUrl": "https://github.com/code-yeongyu/oh-my-openagent",
    "description": "OpenCode 與 Codex CLI 的進階 Agent Harness，編排多個 AI Agent，提供 ultrawork、Team Mode、hash-anchored edits 與 LSP 整合。",
    "category": "Agent Harness",
    "platforms": ["Windows", "Linux", "macOS"],
    "required": true,
    "installedVersion": "4.19.1",
    "install": {
      "manager": "bunx",
      "command": "bunx oh-my-openagent install"
    },
    "altInstall": "npx lazycodex-ai install (Light/Codex) · bunx oh-my-openagent install --platform=both (兩版)",
    "cliCommands": ["ultrawork / ulw", "/init-deep", "/start-work", "/goal", "team_create", "lsp_rename"],
    "shims": ["omo", "ulw", "omo-ultrawork", "omo-codegraph", "omo-lsp", "omo-rules", "omo-telemetry"],
    "dependencies": ["Bun (Ultimate Edition)", "Node.js 20+ (Light Edition)", "OpenCode 或 Codex CLI"],
    "environmentVariables": ["OMO_DISABLE_POSTHOG", "OMO_SEND_ANONYMOUS_TELEMETRY", "OMO_CODEX_DISABLE_POSTHOG"],
    "tags": ["AgentHarness", "Ultrawork", "TeamMode", "OpenCode", "Codex"],
    "notes": "安裝後於 ~/.local/bin 生成 omo、ulw 等 runtime wrapper。內建 Exa、Context7、Grep.app 等 MCP。"
  }
]