ai-proj-helper/init.sh

#!/bin/bash
# ai-proj-helper MCP 初始化脚本
# 为用户配置 ai-proj MCP 连接

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")

# ── 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 SSE 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: $MODE"
if [ "$MODE" = "sse" ]; then
    echo "  SSE:  $SSE_URL"
else
    echo "  API:  $API_BASE"
fi
echo ""

# ── SSE mode ─────────────────────────────────────────────────────────
if [ "$MODE" = "sse" ]; then
    mkdir -p "$(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)"

# ── stdio mode: ensure mcp-task-bridge ────────────────────────────────
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"

    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

# ── Register skill marketplace ───────────────────────────────────────
echo "📦 注册技能市场..."
SCRIPT_DIR="$SCRIPT_DIR" python3 << 'PYEOF'
import json, os, datetime
path = os.path.expanduser("~/.claude/plugins/known_marketplaces.json")
os.makedirs(os.path.dirname(path), exist_ok=True)
data = json.load(open(path)) if os.path.exists(path) else {}
script_dir = os.environ["SCRIPT_DIR"]
data["ai-proj-helper"] = {
    "source": {"source": "directory", "path": script_dir},
    "installLocation": script_dir,
    "lastUpdated": datetime.datetime.now(datetime.timezone.utc).strftime("%Y-%m-%dT%H:%M:%S.000Z")
}
with open(path, "w") as f:
    json.dump(data, f, indent=2)
PYEOF
echo "✅ 已注册技能市场到 ~/.claude/plugins/known_marketplaces.json"

echo ""
echo "┌─────────────────────────────────────┐"
echo "│   ✅ 初始化完成！                   │"
echo "└─────────────────────────────────────┘"
echo ""
echo "已完成配置："
echo "  ✅ MCP 服务器 → $MCP_CONFIG"
echo "  ✅ 技能市场   → ~/.claude/plugins/known_marketplaces.json"
echo ""
echo "下次启动 Claude Code 即可使用。"
echo "如需更改模式，编辑 claude-config.yaml 后重新运行 ./init.sh"