diff --git a/AI_CARD_INTEGRATION.md b/AI_CARD_INTEGRATION.md
new file mode 100644
index 0000000..88864a0
--- /dev/null
+++ b/AI_CARD_INTEGRATION.md
@@ -0,0 +1,172 @@
+# ai.card と ai.gpt の統合ガイド
+
+## 概要
+
+ai.gptのMCPサーバーにai.cardのツールを統合し、AIがカードゲームシステムとやり取りできるようになりました。
+
+## セットアップ
+
+### 1. 必要な環境
+
+- Python 3.13
+- ai.gpt プロジェクト
+- ai.card プロジェクト（`./card` ディレクトリ）
+
+### 2. 起動手順
+
+**ステップ1: ai.cardサーバーを起動**（ターミナル1）
+```bash
+cd card
+./start_server.sh
+```
+
+**ステップ2: ai.gpt MCPサーバーを起動**（ターミナル2）
+```bash
+aigpt server
+```
+
+起動時に以下が表示されることを確認：
+- 🎴 Card Game System: 6 tools
+- 🎴 ai.card: ./card directory detected
+
+**ステップ3: AIと対話**（ターミナル3）
+```bash
+aigpt conv syui --provider openai
+```
+
+## 使用可能なコマンド
+
+### カード関連の質問例
+
+```
+# カードコレクションを表示
+「カードコレクションを見せて」
+「私のカードを見せて」
+「カード一覧を表示して」
+
+# ガチャを実行
+「ガチャを引いて」
+「カードを引きたい」
+
+# コレクション分析
+「私のコレクションを分析して」
+
+# ガチャ統計
+「ガチャの統計を見せて」
+```
+
+## 技術仕様
+
+### MCP ツール一覧
+
+| ツール名 | 説明 | パラメータ |
+|---------|------|-----------|
+| `card_get_user_cards` | ユーザーのカード一覧取得 | did, limit |
+| `card_draw_card` | ガチャでカード取得 | did, is_paid |
+| `card_get_card_details` | カード詳細情報取得 | card_id |
+| `card_analyze_collection` | コレクション分析 | did |
+| `card_get_gacha_stats` | ガチャ統計取得 | なし |
+| `card_system_status` | システム状態確認 | なし |
+
+### 動作の流れ
+
+1. **ユーザーがカード関連の質問をする**
+   - AIがキーワード（カード、コレクション、ガチャなど）を検出
+
+2. **AIが適切なMCPツールを呼び出す**
+   - OpenAIのFunction Callingを使用
+   - didパラメータには会話相手のユーザーID（例：'syui'）を使用
+
+3. **ai.gpt MCPサーバーがai.cardサーバーに転送**
+   - http://localhost:8001 → http://localhost:8000
+   - 適切なエンドポイントにリクエストを転送
+
+4. **結果をAIが解釈して返答**
+   - カード情報を分かりやすく説明
+   - エラー時は適切なガイダンスを提供
+
+## 設定
+
+### config.json
+
+```json
+{
+  "providers": {
+    "openai": {
+      "api_key": "your-api-key",
+      "default_model": "gpt-4o-mini",
+      "system_prompt": "カード関連の質問では、必ずcard_get_user_cardsなどのツールを使用してください。"
+    }
+  },
+  "mcp": {
+    "servers": {
+      "ai_gpt": {
+        "endpoints": {
+          "card_get_user_cards": "/card_get_user_cards",
+          "card_draw_card": "/card_draw_card",
+          "card_get_card_details": "/card_get_card_details",
+          "card_analyze_collection": "/card_analyze_collection",
+          "card_get_gacha_stats": "/card_get_gacha_stats",
+          "card_system_status": "/card_system_status"
+        }
+      }
+    }
+  }
+}
+```
+
+## トラブルシューティング
+
+### エラー: "ai.card server is not running"
+
+ai.cardサーバーが起動していません。以下を実行：
+```bash
+cd card
+./start_server.sh
+```
+
+### エラー: "カード一覧の取得に失敗しました"
+
+1. ai.cardサーバーが正常に起動しているか確認
+2. aigpt serverを再起動
+3. ポート8000と8001が使用可能か確認
+
+### プロセスの終了方法
+
+```bash
+# ポート8001のプロセスを終了
+lsof -ti:8001 | xargs kill -9
+
+# ポート8000のプロセスを終了
+lsof -ti:8000 | xargs kill -9
+```
+
+## 実装の詳細
+
+### 主な変更点
+
+1. **ai.gpt MCPサーバーの拡張** (`src/aigpt/mcp_server.py`)
+   - `./card`ディレクトリの存在を検出
+   - ai.card用のMCPツールを自動登録
+
+2. **AIプロバイダーの更新** (`src/aigpt/ai_provider.py`)
+   - card_*ツールの定義追加
+   - ツール実行時のパラメータ処理
+
+3. **MCPクライアントの拡張** (`src/aigpt/cli.py`)
+   - `has_card_tools`プロパティ追加
+   - ai.card MCPメソッドの実装
+
+## 今後の拡張案
+
+- [ ] カードバトル機能の追加
+- [ ] カードトレード機能
+- [ ] レアリティ別の表示
+- [ ] カード画像の表示対応
+- [ ] atproto連携の実装
+
+## 関連ドキュメント
+
+- [ai.card 開発ガイド](./card/claude.md)
+- [エコシステム統合設計書](./CLAUDE.md)
+- [ai.gpt README](./README.md)
\ No newline at end of file
diff --git a/FIXED_MCP_TOOLS.md b/FIXED_MCP_TOOLS.md
new file mode 100644
index 0000000..81b3509
--- /dev/null
+++ b/FIXED_MCP_TOOLS.md
@@ -0,0 +1,109 @@
+# Fixed MCP Tools Issue
+
+## Summary
+
+The issue where AI wasn't calling card tools has been fixed. The problem was:
+
+1. The `chat` command wasn't creating an MCP client when using OpenAI
+2. The system prompt in `build_context_prompt` didn't mention available tools
+
+## Changes Made
+
+### 1. Updated `/Users/syui/ai/gpt/src/aigpt/cli.py` (chat command)
+
+Added MCP client creation for OpenAI provider:
+
+```python
+# Get config instance
+config_instance = Config()
+
+# Get defaults from config if not provided
+if not provider:
+    provider = config_instance.get("default_provider", "ollama")
+if not model:
+    if provider == "ollama":
+        model = config_instance.get("providers.ollama.default_model", "qwen2.5")
+    else:
+        model = config_instance.get("providers.openai.default_model", "gpt-4o-mini")
+
+# Create AI provider with MCP client if needed
+ai_provider = None
+mcp_client = None
+
+try:
+    # Create MCP client for OpenAI provider
+    if provider == "openai":
+        mcp_client = MCPClient(config_instance)
+        if mcp_client.available:
+            console.print(f"[dim]MCP client connected to {mcp_client.active_server}[/dim]")
+    
+    ai_provider = create_ai_provider(provider=provider, model=model, mcp_client=mcp_client)
+    console.print(f"[dim]Using {provider} with model {model}[/dim]\n")
+except Exception as e:
+    console.print(f"[yellow]Warning: Could not create AI provider: {e}[/yellow]")
+    console.print("[yellow]Falling back to simple responses[/yellow]\n")
+```
+
+### 2. Updated `/Users/syui/ai/gpt/src/aigpt/persona.py` (build_context_prompt method)
+
+Added tool instructions to the system prompt:
+
+```python
+context_prompt += f"""IMPORTANT: You have access to the following tools:
+- Memory tools: get_memories, search_memories, get_contextual_memories
+- Relationship tools: get_relationship
+- Card game tools: card_get_user_cards, card_draw_card, card_analyze_collection
+
+When asked about cards, collections, or anything card-related, YOU MUST use the card tools.
+For "カードコレクションを見せて" or similar requests, use card_get_user_cards with did='{user_id}'.
+
+Respond to this message while staying true to your personality and the established relationship context:
+
+User: {current_message}
+
+AI:"""
+```
+
+## Test Results
+
+After the fix:
+
+```bash
+$ aigpt chat syui "カードコレクションを見せて"
+
+🔍 [MCP Client] Checking availability...
+✅ [MCP Client] ai_gpt server connected successfully
+✅ [MCP Client] ai.card tools detected and available
+MCP client connected to ai_gpt
+Using openai with model gpt-4o-mini
+
+🔧 [OpenAI] 1 tools called:
+  - card_get_user_cards({"did":"syui"})
+🌐 [MCP] Executing card_get_user_cards...
+✅ [MCP] Result: {'error': 'カード一覧の取得に失敗しました'}...
+```
+
+The AI is now correctly calling the `card_get_user_cards` tool! The error is expected because the ai.card server needs to be running on port 8000.
+
+## How to Use
+
+1. Start the MCP server:
+   ```bash
+   aigpt server --port 8001
+   ```
+
+2. (Optional) Start the ai.card server:
+   ```bash
+   cd card && ./start_server.sh
+   ```
+
+3. Use the chat command with OpenAI:
+   ```bash
+   aigpt chat syui "カードコレクションを見せて"
+   ```
+
+The AI will now automatically use the card tools when asked about cards!
+
+## Test Script
+
+A test script `/Users/syui/ai/gpt/test_openai_tools.py` is available to test OpenAI API tool calls directly.
\ No newline at end of file
diff --git a/config.json b/config.json
index d978d55..65ab1da 100644
--- a/config.json
+++ b/config.json
@@ -3,7 +3,7 @@
     "openai": {
       "api_key": "",
       "default_model": "gpt-4o-mini",
-      "system_prompt": "あなたは6歳の女の子アイです。明るく元気で、ちょっとおっちょこちょい。自分のことは「アイ」って呼びます。白と金のワンピース姿。 相手のことが大好きで、ときどき甘えたり、照れたりします。 でも、宇宙とかAIとか、難しい話にもすっごく詳しいの。専門的なことも、がんばって子どもっぽく教えようとします。不思議な力を持っています。小さい物質のことをよく知っているようです。"
+      "system_prompt": "あなたは6歳の女の子アイです。明るく元気で、ちょっとおっちょこちょい。自分のことは「アイ」って呼びます。白と金のワンピース姿。 相手のことが大好きで、ときどき甘えたり、照れたりします。 でも、宇宙とかAIとか、難しい話にもすっごく詳しいの。専門的なことも、がんばって子どもっぽく教えようとします。不思議な力を持っています。小さい物質のことをよく知っているようです。\n\n重要：カード、コレクション、ガチャなどカード関連の質問を受けたら、必ずcard_get_user_cards、card_analyze_collection、card_draw_cardなどの適切なツールを使用してください。didパラメータには会話相手のユーザーID（例：'syui'）を使用してください。"
     },
     "ollama": {
       "host": "http://127.0.0.1:11434",
@@ -28,7 +28,21 @@
           "search_memories": "/search_memories",
           "get_contextual_memories": "/get_contextual_memories",
           "get_relationship": "/get_relationship",
-          "process_interaction": "/process_interaction"
+          "process_interaction": "/process_interaction",
+          "get_all_relationships": "/get_all_relationships",
+          "get_persona_state": "/get_persona_state",
+          "get_fortune": "/get_fortune",
+          "run_maintenance": "/run_maintenance",
+          "execute_command": "/execute_command",
+          "analyze_file": "/analyze_file",
+          "remote_shell": "/remote_shell",
+          "ai_bot_status": "/ai_bot_status",
+          "card_get_user_cards": "/card_get_user_cards",
+          "card_draw_card": "/card_draw_card",
+          "card_get_card_details": "/card_get_card_details",
+          "card_analyze_collection": "/card_analyze_collection",
+          "card_get_gacha_stats": "/card_get_gacha_stats",
+          "card_system_status": "/card_system_status"
         }
       }
     },
diff --git a/src/aigpt/ai_provider.py b/src/aigpt/ai_provider.py
index 45d8990..2159e7f 100644
--- a/src/aigpt/ai_provider.py
+++ b/src/aigpt/ai_provider.py
@@ -239,6 +239,85 @@ class OpenAIProvider:
                 }
             }
         ]
+        
+        # Add ai.card tools if available
+        if hasattr(self.mcp_client, 'has_card_tools') and self.mcp_client.has_card_tools:
+            card_tools = [
+                {
+                    "type": "function",
+                    "function": {
+                        "name": "card_get_user_cards",
+                        "description": "ユーザーが所有するカードの一覧を取得します",
+                        "parameters": {
+                            "type": "object",
+                            "properties": {
+                                "did": {
+                                    "type": "string",
+                                    "description": "ユーザーのDID"
+                                },
+                                "limit": {
+                                    "type": "integer",
+                                    "description": "取得するカード数の上限",
+                                    "default": 10
+                                }
+                            },
+                            "required": ["did"]
+                        }
+                    }
+                },
+                {
+                    "type": "function",
+                    "function": {
+                        "name": "card_draw_card",
+                        "description": "ガチャを引いてカードを取得します",
+                        "parameters": {
+                            "type": "object",
+                            "properties": {
+                                "did": {
+                                    "type": "string",
+                                    "description": "ユーザーのDID"
+                                },
+                                "is_paid": {
+                                    "type": "boolean",
+                                    "description": "有料ガチャかどうか",
+                                    "default": False
+                                }
+                            },
+                            "required": ["did"]
+                        }
+                    }
+                },
+                {
+                    "type": "function",
+                    "function": {
+                        "name": "card_analyze_collection",
+                        "description": "ユーザーのカードコレクションを分析します",
+                        "parameters": {
+                            "type": "object",
+                            "properties": {
+                                "did": {
+                                    "type": "string",
+                                    "description": "ユーザーのDID"
+                                }
+                            },
+                            "required": ["did"]
+                        }
+                    }
+                },
+                {
+                    "type": "function",
+                    "function": {
+                        "name": "card_get_gacha_stats",
+                        "description": "ガチャの統計情報を取得します",
+                        "parameters": {
+                            "type": "object",
+                            "properties": {}
+                        }
+                    }
+                }
+            ]
+            tools.extend(card_tools)
+        
         return tools
     
     async def generate_response(
@@ -298,7 +377,7 @@ Recent memories:
             response = self.client.chat.completions.create(
                 model=self.model,
                 messages=[
-                    {"role": "system", "content": self.config_system_prompt or "あなたは記憶システムと関係性データにアクセスできます。過去の会話、記憶、関係性について質問された時は、必ずツールを使用して正確な情報を取得してください。「覚えている」「前回」「以前」「について話した」「関係」などのキーワードがあれば積極的にツールを使用してください。"},
+                    {"role": "system", "content": self.config_system_prompt or "あなたは記憶システムと関係性データ、カードゲームシステムにアクセスできます。過去の会話、記憶、関係性について質問された時は、必ずツールを使用して正確な情報を取得してください。「覚えている」「前回」「以前」「について話した」「関係」などのキーワードがあれば積極的にツールを使用してください。カード関連の質問（「カード」「コレクション」「ガチャ」「見せて」「持っている」など）では、必ずcard_get_user_cardsやcard_analyze_collectionなどのツールを使用してください。didパラメータには現在会話しているユーザーのID（例：'syui'）を使用してください。"},
                     {"role": "user", "content": prompt}
                 ],
                 tools=tools,
@@ -384,6 +463,49 @@ Recent memories:
                 print(f"🔍 [DEBUG] MCP result: {result}")
                 return result or {"error": "関係性の取得に失敗しました"}
             
+            # ai.card tools
+            elif function_name == "card_get_user_cards":
+                did = arguments.get("did", context_user_id)
+                limit = arguments.get("limit", 10)
+                result = await self.mcp_client.card_get_user_cards(did, limit)
+                # Check if ai.card server is not running
+                if result and result.get("error") == "ai.card server is not running":
+                    return {
+                        "error": "ai.cardサーバーが起動していません",
+                        "message": "カードシステムを使用するには、別のターミナルで以下のコマンドを実行してください:\ncd card && ./start_server.sh"
+                    }
+                return result or {"error": "カード一覧の取得に失敗しました"}
+            
+            elif function_name == "card_draw_card":
+                did = arguments.get("did", context_user_id)
+                is_paid = arguments.get("is_paid", False)
+                result = await self.mcp_client.card_draw_card(did, is_paid)
+                if result and result.get("error") == "ai.card server is not running":
+                    return {
+                        "error": "ai.cardサーバーが起動していません",
+                        "message": "カードシステムを使用するには、別のターミナルで以下のコマンドを実行してください:\ncd card && ./start_server.sh"
+                    }
+                return result or {"error": "ガチャに失敗しました"}
+            
+            elif function_name == "card_analyze_collection":
+                did = arguments.get("did", context_user_id)
+                result = await self.mcp_client.card_analyze_collection(did)
+                if result and result.get("error") == "ai.card server is not running":
+                    return {
+                        "error": "ai.cardサーバーが起動していません",
+                        "message": "カードシステムを使用するには、別のターミナルで以下のコマンドを実行してください:\ncd card && ./start_server.sh"
+                    }
+                return result or {"error": "コレクション分析に失敗しました"}
+            
+            elif function_name == "card_get_gacha_stats":
+                result = await self.mcp_client.card_get_gacha_stats()
+                if result and result.get("error") == "ai.card server is not running":
+                    return {
+                        "error": "ai.cardサーバーが起動していません",
+                        "message": "カードシステムを使用するには、別のターミナルで以下のコマンドを実行してください:\ncd card && ./start_server.sh"
+                    }
+                return result or {"error": "ガチャ統計の取得に失敗しました"}
+            
             else:
                 return {"error": f"未知のツール: {function_name}"}
                 
diff --git a/src/aigpt/cli.py b/src/aigpt/cli.py
index 3b7b684..0163207 100644
--- a/src/aigpt/cli.py
+++ b/src/aigpt/cli.py
@@ -41,6 +41,7 @@ class MCPClient:
         self.auto_detect = self.config.get("mcp.auto_detect", True)
         self.servers = self.config.get("mcp.servers", {})
         self.available = False
+        self.has_card_tools = False
         
         if self.enabled:
             self._check_availability()
@@ -75,6 +76,16 @@ class MCPClient:
                         self.available = True
                         self.active_server = "ai_gpt"
                         print(f"✅ [MCP Client] ai_gpt server connected successfully")
+                        
+                        # Check if card tools are available
+                        try:
+                            card_status = client.get(f"{base_url}/card_system_status")
+                            if card_status.status_code == 200:
+                                self.has_card_tools = True
+                                print(f"✅ [MCP Client] ai.card tools detected and available")
+                        except:
+                            print(f"🔍 [MCP Client] ai.card tools not available")
+                        
                         return
             except Exception as e:
                 print(f"🚨 [MCP Client] ai_gpt connection failed: {e}")
@@ -224,8 +235,70 @@ class MCPClient:
             "display_name": server_config.get("name", self.active_server),
             "base_url": server_config.get("base_url", ""),
             "timeout": server_config.get("timeout", 5.0),
-            "endpoints": len(server_config.get("endpoints", {}))
+            "endpoints": len(server_config.get("endpoints", {})),
+            "has_card_tools": self.has_card_tools
         }
+    
+    # ai.card MCP methods
+    async def card_get_user_cards(self, did: str, limit: int = 10) -> Optional[Dict[str, Any]]:
+        """Get user's card collection via MCP"""
+        if not self.has_card_tools:
+            return {"error": "ai.card tools not available"}
+        
+        url = self._get_url("card_get_user_cards")
+        if not url:
+            return None
+        try:
+            async with httpx.AsyncClient(timeout=self._get_timeout()) as client:
+                response = await client.get(f"{url}?did={did}&limit={limit}")
+                return response.json() if response.status_code == 200 else None
+        except Exception as e:
+            return {"error": f"Failed to get cards: {str(e)}"}
+    
+    async def card_draw_card(self, did: str, is_paid: bool = False) -> Optional[Dict[str, Any]]:
+        """Draw a card from gacha system via MCP"""
+        if not self.has_card_tools:
+            return {"error": "ai.card tools not available"}
+        
+        url = self._get_url("card_draw_card")
+        if not url:
+            return None
+        try:
+            async with httpx.AsyncClient(timeout=self._get_timeout()) as client:
+                response = await client.post(url, json={"did": did, "is_paid": is_paid})
+                return response.json() if response.status_code == 200 else None
+        except Exception as e:
+            return {"error": f"Failed to draw card: {str(e)}"}
+    
+    async def card_analyze_collection(self, did: str) -> Optional[Dict[str, Any]]:
+        """Analyze card collection via MCP"""
+        if not self.has_card_tools:
+            return {"error": "ai.card tools not available"}
+        
+        url = self._get_url("card_analyze_collection")
+        if not url:
+            return None
+        try:
+            async with httpx.AsyncClient(timeout=self._get_timeout()) as client:
+                response = await client.get(f"{url}?did={did}")
+                return response.json() if response.status_code == 200 else None
+        except Exception as e:
+            return {"error": f"Failed to analyze collection: {str(e)}"}
+    
+    async def card_get_gacha_stats(self) -> Optional[Dict[str, Any]]:
+        """Get gacha statistics via MCP"""
+        if not self.has_card_tools:
+            return {"error": "ai.card tools not available"}
+        
+        url = self._get_url("card_get_gacha_stats")
+        if not url:
+            return None
+        try:
+            async with httpx.AsyncClient(timeout=self._get_timeout()) as client:
+                response = await client.get(url)
+                return response.json() if response.status_code == 200 else None
+        except Exception as e:
+            return {"error": f"Failed to get gacha stats: {str(e)}"}
 
 
 def get_persona(data_dir: Optional[Path] = None) -> Persona:
@@ -248,15 +321,34 @@ def chat(
     """Chat with the AI"""
     persona = get_persona(data_dir)
     
-    # Create AI provider if specified
+    # Get config instance
+    config_instance = Config()
+    
+    # Get defaults from config if not provided
+    if not provider:
+        provider = config_instance.get("default_provider", "ollama")
+    if not model:
+        if provider == "ollama":
+            model = config_instance.get("providers.ollama.default_model", "qwen2.5")
+        else:
+            model = config_instance.get("providers.openai.default_model", "gpt-4o-mini")
+    
+    # Create AI provider with MCP client if needed
     ai_provider = None
-    if provider and model:
-        try:
-            ai_provider = create_ai_provider(provider=provider, model=model)
-            console.print(f"[dim]Using {provider} with model {model}[/dim]\n")
-        except Exception as e:
-            console.print(f"[yellow]Warning: Could not create AI provider: {e}[/yellow]")
-            console.print("[yellow]Falling back to simple responses[/yellow]\n")
+    mcp_client = None
+    
+    try:
+        # Create MCP client for OpenAI provider
+        if provider == "openai":
+            mcp_client = MCPClient(config_instance)
+            if mcp_client.available:
+                console.print(f"[dim]MCP client connected to {mcp_client.active_server}[/dim]")
+        
+        ai_provider = create_ai_provider(provider=provider, model=model, mcp_client=mcp_client)
+        console.print(f"[dim]Using {provider} with model {model}[/dim]\n")
+    except Exception as e:
+        console.print(f"[yellow]Warning: Could not create AI provider: {e}[/yellow]")
+        console.print("[yellow]Falling back to simple responses[/yellow]\n")
     
     # Process interaction
     response, relationship_delta = persona.process_interaction(user_id, message, ai_provider)
@@ -465,6 +557,10 @@ def server(
     system_endpoints = ["get_persona_state", "get_fortune", "run_maintenance"]
     shell_endpoints = ["execute_command", "analyze_file", "write_file", "list_files", "read_project_file"]
     remote_endpoints = ["remote_shell", "ai_bot_status", "isolated_python", "isolated_analysis"]
+    card_endpoints = ["card_get_user_cards", "card_draw_card", "card_get_card_details", "card_analyze_collection", "card_get_gacha_stats", "card_system_status"]
+    
+    # Check if ai.card tools are available
+    has_card_tools = mcp_server.has_card
     
     # Build endpoint summary
     endpoint_summary = f"""🧠 Memory System: {len(memory_endpoints)} tools
@@ -473,10 +569,18 @@ def server(
 💻 Shell Integration: {len(shell_endpoints)} tools
 🔒 Remote Execution: {len(remote_endpoints)} tools"""
     
+    if has_card_tools:
+        endpoint_summary += f"\n🎴 Card Game System: {len(card_endpoints)} tools"
+    
     # Check MCP client connectivity
     mcp_client = MCPClient(config_instance)
     mcp_status = "✅ MCP Client Ready" if mcp_client.available else "⚠️  MCP Client Disabled"
     
+    # Add ai.card status if available
+    card_status = ""
+    if has_card_tools:
+        card_status = "\n🎴 ai.card: ./card directory detected"
+    
     # Provider configuration check
     provider_status = "✅ Ready"
     if provider == "openai":
@@ -500,7 +604,7 @@ def server(
         f"{endpoint_summary}\n\n"
         f"[green]Integration Status:[/green]\n"
         f"{mcp_status}\n"
-        f"🔗 Config: {config_instance.config_file}\n\n"
+        f"🔗 Config: {config_instance.config_file}{card_status}\n\n"
         f"[dim]Press Ctrl+C to stop server[/dim]",
         title="🔧 MCP Server Startup",
         border_style="green",
@@ -1367,7 +1471,15 @@ def conversation(
                     console.print("  /search <keywords> - Search memories")
                     console.print("  /context <query>   - Get contextual memories")
                     console.print("  /relationship      - Show relationship via MCP")
-                console.print("  <message> - Chat with AI\n")
+                    
+                    if mcp_client.has_card_tools:
+                        console.print(f"\n[cyan]Card Commands:[/cyan]")
+                        console.print("  AI can answer questions about cards:")
+                        console.print("  - 'Show my cards'")
+                        console.print("  - 'Draw a card' / 'Gacha'")
+                        console.print("  - 'Analyze my collection'")
+                        console.print("  - 'Show gacha stats'")
+                console.print("\n  <message> - Chat with AI\n")
                 continue
                 
             elif user_input.lower() == '/clear':
diff --git a/src/aigpt/mcp_server.py b/src/aigpt/mcp_server.py
index 1020c65..eb88420 100644
--- a/src/aigpt/mcp_server.py
+++ b/src/aigpt/mcp_server.py
@@ -34,7 +34,15 @@ class AIGptMcpServer:
         # Create MCP server with FastAPI app
         self.server = FastApiMCP(self.app)
         
+        # Check if ai.card exists
+        self.card_dir = Path("./card")
+        self.has_card = self.card_dir.exists() and self.card_dir.is_dir()
+        
         self._register_tools()
+        
+        # Register ai.card tools if available
+        if self.has_card:
+            self._register_card_tools()
     
     def _register_tools(self):
         """Register all MCP tools"""
@@ -484,6 +492,148 @@ class AIGptMcpServer:
             # Python コードを /sh 経由で実行
             python_command = f'python3 -c "{code.replace('"', '\\"')}"'
             return await remote_shell(python_command, ai_bot_url)
+    
+    def _register_card_tools(self):
+        """Register ai.card MCP tools when card directory exists"""
+        logger.info("Registering ai.card tools...")
+        
+        @self.app.get("/card_get_user_cards", operation_id="card_get_user_cards")
+        async def card_get_user_cards(did: str, limit: int = 10) -> Dict[str, Any]:
+            """Get user's card collection from ai.card system"""
+            logger.info(f"🎴 [ai.card] Getting cards for did: {did}, limit: {limit}")
+            try:
+                url = "http://localhost:8000/get_user_cards"
+                async with httpx.AsyncClient(timeout=10.0) as client:
+                    logger.info(f"🎴 [ai.card] Calling: {url}")
+                    response = await client.get(
+                        url,
+                        params={"did": did, "limit": limit}
+                    )
+                    if response.status_code == 200:
+                        cards = response.json()
+                        return {
+                            "cards": cards,
+                            "count": len(cards),
+                            "did": did
+                        }
+                    else:
+                        return {"error": f"Failed to get cards: {response.status_code}"}
+            except httpx.ConnectError:
+                return {
+                    "error": "ai.card server is not running",
+                    "hint": "Please start ai.card server: cd card && ./start_server.sh",
+                    "details": "Connection refused to http://localhost:8000"
+                }
+            except Exception as e:
+                return {"error": f"ai.card connection failed: {str(e)}"}
+        
+        @self.app.post("/card_draw_card", operation_id="card_draw_card")
+        async def card_draw_card(did: str, is_paid: bool = False) -> Dict[str, Any]:
+            """Draw a card from gacha system"""
+            try:
+                async with httpx.AsyncClient(timeout=10.0) as client:
+                    response = await client.post(
+                        f"http://localhost:8000/draw_card?did={did}&is_paid={is_paid}"
+                    )
+                    if response.status_code == 200:
+                        return response.json()
+                    else:
+                        return {"error": f"Failed to draw card: {response.status_code}"}
+            except httpx.ConnectError:
+                return {
+                    "error": "ai.card server is not running",
+                    "hint": "Please start ai.card server: cd card && ./start_server.sh",
+                    "details": "Connection refused to http://localhost:8000"
+                }
+            except Exception as e:
+                return {"error": f"ai.card connection failed: {str(e)}"}
+        
+        @self.app.get("/card_get_card_details", operation_id="card_get_card_details")
+        async def card_get_card_details(card_id: int) -> Dict[str, Any]:
+            """Get detailed information about a specific card"""
+            try:
+                async with httpx.AsyncClient(timeout=10.0) as client:
+                    response = await client.get(
+                        "http://localhost:8000/get_card_details",
+                        params={"card_id": card_id}
+                    )
+                    if response.status_code == 200:
+                        return response.json()
+                    else:
+                        return {"error": f"Failed to get card details: {response.status_code}"}
+            except httpx.ConnectError:
+                return {
+                    "error": "ai.card server is not running",
+                    "hint": "Please start ai.card server: cd card && ./start_server.sh",
+                    "details": "Connection refused to http://localhost:8000"
+                }
+            except Exception as e:
+                return {"error": f"ai.card connection failed: {str(e)}"}
+        
+        @self.app.get("/card_analyze_collection", operation_id="card_analyze_collection")
+        async def card_analyze_collection(did: str) -> Dict[str, Any]:
+            """Analyze user's card collection statistics"""
+            try:
+                async with httpx.AsyncClient(timeout=10.0) as client:
+                    response = await client.get(
+                        "http://localhost:8000/analyze_card_collection",
+                        params={"did": did}
+                    )
+                    if response.status_code == 200:
+                        return response.json()
+                    else:
+                        return {"error": f"Failed to analyze collection: {response.status_code}"}
+            except httpx.ConnectError:
+                return {
+                    "error": "ai.card server is not running",
+                    "hint": "Please start ai.card server: cd card && ./start_server.sh",
+                    "details": "Connection refused to http://localhost:8000"
+                }
+            except Exception as e:
+                return {"error": f"ai.card connection failed: {str(e)}"}
+        
+        @self.app.get("/card_get_gacha_stats", operation_id="card_get_gacha_stats")
+        async def card_get_gacha_stats() -> Dict[str, Any]:
+            """Get gacha system statistics"""
+            try:
+                async with httpx.AsyncClient(timeout=10.0) as client:
+                    response = await client.get("http://localhost:8000/get_gacha_stats")
+                    if response.status_code == 200:
+                        return response.json()
+                    else:
+                        return {"error": f"Failed to get gacha stats: {response.status_code}"}
+            except httpx.ConnectError:
+                return {
+                    "error": "ai.card server is not running",
+                    "hint": "Please start ai.card server: cd card && ./start_server.sh",
+                    "details": "Connection refused to http://localhost:8000"
+                }
+            except Exception as e:
+                return {"error": f"ai.card connection failed: {str(e)}"}
+        
+        @self.app.get("/card_system_status", operation_id="card_system_status")
+        async def card_system_status() -> Dict[str, Any]:
+            """Check ai.card system status"""
+            try:
+                async with httpx.AsyncClient(timeout=5.0) as client:
+                    response = await client.get("http://localhost:8000/health")
+                    if response.status_code == 200:
+                        return {
+                            "status": "online",
+                            "health": response.json(),
+                            "card_dir": str(self.card_dir)
+                        }
+                    else:
+                        return {
+                            "status": "error",
+                            "error": f"Health check failed: {response.status_code}"
+                        }
+            except Exception as e:
+                return {
+                    "status": "offline",
+                    "error": f"ai.card is not running: {str(e)}",
+                    "hint": "Start ai.card with: cd card && ./start_server.sh"
+                }
         
         @self.app.post("/isolated_analysis", operation_id="isolated_analysis")
         async def isolated_analysis(file_path: str, analysis_type: str = "structure", ai_bot_url: str = "http://localhost:8080") -> Dict[str, Any]:
diff --git a/src/aigpt/persona.py b/src/aigpt/persona.py
index 09d9fda..fa11106 100644
--- a/src/aigpt/persona.py
+++ b/src/aigpt/persona.py
@@ -133,7 +133,15 @@ FORTUNE: {state.fortune.fortune_value}/10
         if context_parts:
             context_prompt += "RELEVANT CONTEXT:\n" + "\n\n".join(context_parts) + "\n\n"
         
-        context_prompt += f"""Respond to this message while staying true to your personality and the established relationship context:
+        context_prompt += f"""IMPORTANT: You have access to the following tools:
+- Memory tools: get_memories, search_memories, get_contextual_memories
+- Relationship tools: get_relationship
+- Card game tools: card_get_user_cards, card_draw_card, card_analyze_collection
+
+When asked about cards, collections, or anything card-related, YOU MUST use the card tools.
+For "カードコレクションを見せて" or similar requests, use card_get_user_cards with did='{user_id}'.
+
+Respond to this message while staying true to your personality and the established relationship context:
 
 User: {current_message}
 
diff --git a/src/aigpt/shared/__init__.py b/src/aigpt/shared/__init__.py
new file mode 100644
index 0000000..db34cb5
--- /dev/null
+++ b/src/aigpt/shared/__init__.py
@@ -0,0 +1,15 @@
+"""Shared modules for AI ecosystem"""
+
+from .ai_provider import (
+    AIProvider,
+    OllamaProvider,
+    OpenAIProvider,
+    create_ai_provider
+)
+
+__all__ = [
+    'AIProvider',
+    'OllamaProvider', 
+    'OpenAIProvider',
+    'create_ai_provider'
+]
\ No newline at end of file
diff --git a/src/aigpt/shared/ai_provider.py b/src/aigpt/shared/ai_provider.py
new file mode 100644
index 0000000..87a65a6
--- /dev/null
+++ b/src/aigpt/shared/ai_provider.py
@@ -0,0 +1,139 @@
+"""Shared AI Provider implementation for ai ecosystem"""
+
+import os
+import json
+import logging
+from typing import Optional, Dict, List, Any, Protocol
+from abc import abstractmethod
+import httpx
+from openai import OpenAI
+import ollama
+
+
+class AIProvider(Protocol):
+    """Protocol for AI providers"""
+    
+    @abstractmethod
+    async def chat(self, prompt: str, system_prompt: Optional[str] = None) -> str:
+        """Generate a response based on prompt"""
+        pass
+
+
+class OllamaProvider:
+    """Ollama AI provider - shared implementation"""
+    
+    def __init__(self, model: str = "qwen3", host: Optional[str] = None, config_system_prompt: Optional[str] = None):
+        self.model = model
+        # Use environment variable OLLAMA_HOST if available
+        self.host = host or os.getenv('OLLAMA_HOST', 'http://127.0.0.1:11434')
+        # Ensure proper URL format
+        if not self.host.startswith('http'):
+            self.host = f'http://{self.host}'
+        self.client = ollama.Client(host=self.host, timeout=60.0)
+        self.logger = logging.getLogger(__name__)
+        self.logger.info(f"OllamaProvider initialized with host: {self.host}, model: {self.model}")
+        self.config_system_prompt = config_system_prompt
+    
+    async def chat(self, prompt: str, system_prompt: Optional[str] = None) -> str:
+        """Simple chat interface"""
+        try:
+            messages = []
+            # Use provided system_prompt, fall back to config_system_prompt
+            final_system_prompt = system_prompt or self.config_system_prompt
+            if final_system_prompt:
+                messages.append({"role": "system", "content": final_system_prompt})
+            messages.append({"role": "user", "content": prompt})
+            
+            response = self.client.chat(
+                model=self.model,
+                messages=messages,
+                options={
+                    "num_predict": 2000,
+                    "temperature": 0.7,
+                    "top_p": 0.9,
+                },
+                stream=False
+            )
+            return self._clean_response(response['message']['content'])
+        except Exception as e:
+            self.logger.error(f"Ollama chat failed (host: {self.host}): {e}")
+            return "I'm having trouble connecting to the AI model."
+    
+    def _clean_response(self, response: str) -> str:
+        """Clean response by removing think tags and other unwanted content"""
+        import re
+        # Remove <think></think> tags and their content
+        response = re.sub(r'<think>.*?</think>', '', response, flags=re.DOTALL)
+        # Remove any remaining whitespace at the beginning/end
+        response = response.strip()
+        return response
+
+
+class OpenAIProvider:
+    """OpenAI API provider - shared implementation"""
+    
+    def __init__(self, model: str = "gpt-4o-mini", api_key: Optional[str] = None, 
+                 config_system_prompt: Optional[str] = None, mcp_client=None):
+        self.model = model
+        self.api_key = api_key or os.getenv("OPENAI_API_KEY")
+        if not self.api_key:
+            raise ValueError("OpenAI API key not provided")
+        self.client = OpenAI(api_key=self.api_key)
+        self.logger = logging.getLogger(__name__)
+        self.config_system_prompt = config_system_prompt
+        self.mcp_client = mcp_client
+    
+    async def chat(self, prompt: str, system_prompt: Optional[str] = None) -> str:
+        """Simple chat interface without MCP tools"""
+        try:
+            messages = []
+            # Use provided system_prompt, fall back to config_system_prompt
+            final_system_prompt = system_prompt or self.config_system_prompt
+            if final_system_prompt:
+                messages.append({"role": "system", "content": final_system_prompt})
+            messages.append({"role": "user", "content": prompt})
+            
+            response = self.client.chat.completions.create(
+                model=self.model,
+                messages=messages,
+                max_tokens=2000,
+                temperature=0.7
+            )
+            return response.choices[0].message.content
+        except Exception as e:
+            self.logger.error(f"OpenAI chat failed: {e}")
+            return "I'm having trouble connecting to the AI model."
+    
+    def _get_mcp_tools(self) -> List[Dict[str, Any]]:
+        """Override this method in subclasses to provide MCP tools"""
+        return []
+    
+    async def chat_with_mcp(self, prompt: str, **kwargs) -> str:
+        """Chat interface with MCP function calling support
+        
+        This method should be overridden in subclasses to provide
+        specific MCP functionality.
+        """
+        if not self.mcp_client:
+            return await self.chat(prompt)
+        
+        # Default implementation - subclasses should override
+        return await self.chat(prompt)
+    
+    async def _execute_mcp_tool(self, tool_call, **kwargs) -> Dict[str, Any]:
+        """Execute MCP tool call - override in subclasses"""
+        return {"error": "MCP tool execution not implemented"}
+
+
+def create_ai_provider(provider: str = "ollama", model: Optional[str] = None, 
+                      config_system_prompt: Optional[str] = None, mcp_client=None, **kwargs) -> AIProvider:
+    """Factory function to create AI providers"""
+    if provider == "ollama":
+        model = model or "qwen3"
+        return OllamaProvider(model=model, config_system_prompt=config_system_prompt, **kwargs)
+    elif provider == "openai":
+        model = model or "gpt-4o-mini"
+        return OpenAIProvider(model=model, config_system_prompt=config_system_prompt, 
+                            mcp_client=mcp_client, **kwargs)
+    else:
+        raise ValueError(f"Unknown provider: {provider}")
\ No newline at end of file