ai-proj-helper/init.sh

#!/bin/bash
# ai-proj-helper 初始化脚本
# 配置 MCP 连接 + 安装技能到 ~/.claude/skills/

set -e

SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
MCP_CONFIG="$HOME/.claude/.mcp.json"
MCP_BRIDGE_DIR="$SCRIPT_DIR/mcp-task-bridge"
CONFIG_FILE="$SCRIPT_DIR/claude-config.yaml"
API_BASE="https://ai.pipexerp.com/api/v1"
SSE_URL="${API_BASE}/mcp/sse"

# Default values
MODE=""
TOKEN=""

# ── Parse command line arguments ──────────────────────────────────────
while [[ $# -gt 0 ]]; do
    case $1 in
        --mode)  MODE="$2";  shift 2 ;;
        --token) TOKEN="$2"; shift 2 ;;
        -h|--help)
            echo "Usage: ./init.sh [--mode sse|stdio] [--token MCP_API_KEY]"
            echo ""
            echo "Options:"
            echo "  --mode   MCP connection mode: sse (remote, recommended) or stdio (local)"
            echo "  --token  MCP API Key (aiproj_pk_xxx)"
            echo ""
            echo "Without arguments, runs in interactive mode."
            exit 0
            ;;
        *) echo "Unknown option: $1"; exit 1 ;;
    esac
done

# ── Read config defaults ─────────────────────────────────────────────
read_config_value() {
    local key="$1"
    local default="$2"
    if [ -f "$CONFIG_FILE" ]; then
        local val
        val=$(grep "^  ${key}:" "$CONFIG_FILE" 2>/dev/null | head -1 | sed 's/^[^:]*: *//' | sed 's/ *#.*//' | tr -d '"' | tr -d "'")
        if [ -n "$val" ]; then
            echo "$val"
            return
        fi
    fi
    echo "$default"
}

CONFIG_MODE=$(read_config_value "mode" "sse")

# ── Detect claude CLI ────────────────────────────────────────────────
HAS_CLAUDE=false
if command -v claude &>/dev/null; then
    HAS_CLAUDE=true
fi

# ── Interactive mode selection ────────────────────────────────────────
if [ -z "$MODE" ]; then
    echo "┌─────────────────────────────────────┐"
    echo "│   ai-proj MCP 初始化                │"
    echo "└─────────────────────────────────────┘"
    echo ""
    echo "MCP 连接模式:"
    echo "  1) sse    - 远程连接 (推荐，零依赖)"
    echo "  2) stdio  - 本地进程 (需要 Node.js + mcp-task-bridge)"
    echo ""
    read -p "选择模式 [1/2] (default: $([ "$CONFIG_MODE" = "stdio" ] && echo "2" || echo "1")): " mode_choice
    case "$mode_choice" in
        2|stdio) MODE="stdio" ;;
        *)       MODE="sse" ;;
    esac
fi

# ── Token input ───────────────────────────────────────────────────────
if [ -z "$TOKEN" ]; then
    echo ""
    echo "请输入 MCP API Key:"
    echo "  格式: aiproj_pk_xxxxxxxx"
    echo "  获取: 登录 AI-Proj → 设置 → MCP API Keys → 创建"
    echo ""
    read -sp "API Key: " TOKEN
    echo ""
fi

if [ -z "$TOKEN" ]; then
    echo "❌ API Key 不能为空"
    exit 1
fi

echo ""
echo "配置信息:"
echo "  模式: $MODE"
echo "  Claude CLI: $($HAS_CLAUDE && echo '检测到' || echo '未检测到 (回退写 .mcp.json)')"
if [ "$MODE" = "sse" ]; then
    echo "  URL:  $SSE_URL"
else
    echo "  API:  $API_BASE"
fi
echo ""

# ── Configure MCP ────────────────────────────────────────────────────
if [ "$MODE" = "sse" ]; then
    if $HAS_CLAUDE; then
        # 新版 Claude Code: 用 claude mcp add 注册（transport=http，即 Streamable HTTP）
        # 先移除旧配置（忽略错误）
        claude mcp remove -s user ai-proj 2>/dev/null || true
        claude mcp add ai-proj "$SSE_URL" -t http -s user -H "X-API-Key: $TOKEN" 2>&1
        echo "✅ 已通过 claude mcp add 注册 (Streamable HTTP)"
    else
        # 旧版或无 CLI: 回退写 .mcp.json
        mkdir -p "$(dirname "$MCP_CONFIG")"
        cat > "$MCP_CONFIG" << EOF
{
  "mcpServers": {
    "ai-proj": {
      "type": "sse",
      "url": "$SSE_URL",
      "headers": {
        "X-API-Key": "$TOKEN"
      }
    }
  }
}
EOF
        echo "✅ 已生成 $MCP_CONFIG (SSE 模式)"
    fi

elif [ "$MODE" = "stdio" ]; then
    if [ ! -d "$MCP_BRIDGE_DIR" ]; then
        echo "📦 mcp-task-bridge 未找到，正在克隆..."
        git clone https://gitea.pipexerp.com/pipexerp/mcp-task-bridge.git "$MCP_BRIDGE_DIR"
    fi

    if [ ! -f "$MCP_BRIDGE_DIR/dist/index.js" ]; then
        echo "🔨 构建 mcp-task-bridge..."
        cd "$MCP_BRIDGE_DIR"
        npm install
        npm run build
        cd "$SCRIPT_DIR"
    fi

    BRIDGE_ENTRY="$MCP_BRIDGE_DIR/dist/index.js"

    if $HAS_CLAUDE; then
        claude mcp remove -s user ai-proj 2>/dev/null || true
        claude mcp add ai-proj -s user -e "NODE_ENV=production" -e "TASK_API_BASE=$API_BASE" -e "TASK_API_TOKEN=$TOKEN" -e "MCP_SERVER_NAME=ai-proj" -- node "$BRIDGE_ENTRY" 2>&1
        echo "✅ 已通过 claude mcp add 注册 (stdio)"
    else
        mkdir -p "$(dirname "$MCP_CONFIG")"
        cat > "$MCP_CONFIG" << EOF
{
  "mcpServers": {
    "ai-proj": {
      "command": "node",
      "args": ["$BRIDGE_ENTRY"],
      "env": {
        "NODE_ENV": "production",
        "TASK_API_BASE": "$API_BASE",
        "TASK_API_TOKEN": "$TOKEN",
        "MCP_SERVER_NAME": "ai-proj"
      }
    }
  }
}
EOF
        echo "✅ 已生成 $MCP_CONFIG (stdio 模式)"
    fi
fi

# ── Install skills to ~/.claude/skills/ ──────────────────────────────
echo "📦 安装技能到 ~/.claude/skills/ ..."
SKILLS_DIR="$HOME/.claude/skills"
mkdir -p "$SKILLS_DIR"

SKILL_COUNT=0
for plugin_dir in "$SCRIPT_DIR"/skills-*/; do
    for skill_path in "$plugin_dir"*-plugin/; do
        [ -d "$skill_path" ] || continue
        skill_md="$skill_path/skills/SKILL.md"
        [ -f "$skill_md" ] || continue

        # Extract skill name: ai-proj-plugin -> ai-proj
        dir_name=$(basename "$skill_path")
        skill_name="${dir_name%-plugin}"

        target_dir="$SKILLS_DIR/$skill_name"
        mkdir -p "$target_dir"

        # Copy SKILL.md (overwrite if exists)
        cp "$skill_md" "$target_dir/SKILL.md"
        SKILL_COUNT=$((SKILL_COUNT + 1))
    done
done
echo "  已安装 $SKILL_COUNT 个技能"
echo "✅ 技能安装完成 → $SKILLS_DIR"

echo ""
echo "┌─────────────────────────────────────┐"
echo "│   ✅ 初始化完成！                   │"
echo "└─────────────────────────────────────┘"
echo ""
echo "已完成配置："
if $HAS_CLAUDE; then
    echo "  ✅ MCP 服务器 (claude mcp add)"
else
    echo "  ✅ MCP 服务器 → $MCP_CONFIG"
fi
echo "  ✅ 技能 ($SKILL_COUNT 个) → $SKILLS_DIR"
echo ""
echo "重启 Claude Code 即可使用。"
echo "如需更改配置，编辑 claude-config.yaml 后重新运行 ./init.sh"