# 列出 AgentCore 閘道中的可用資源
<a name="gateway-using-mcp-resources-list"></a>

若要列出 AgentCore 閘道提供的所有可用資源，請對閘道的 MCP 端點提出 POST 請求，並在請求內文中指定 `resources/list`作為 方法：

```
POST /mcp HTTP/1.1
Host: ${GatewayEndpoint}
Content-Type: application/json
Authorization: ${Authorization header}

${RequestBody}
```

取代以下的值：
+  `${GatewayEndpoint}` – 閘道的 URL，如 [CreateGateway](https://docs.aws.amazon.com/bedrock-agentcore-control/latest/APIReference/API_CreateGateway.html) API 的回應所提供。
+  `${Authorization header}` – 當您設定[傳入](gateway-inbound-auth.md)授權時，來自身分提供者的授權憑證。
+  `${RequestBody}` – 請求內文的 JSON 承載，如[模型內容通訊協定 (MCP)](https://modelcontextprotocol.io/docs/getting-started/intro) 中的[列出資源](https://modelcontextprotocol.io/specification/2025-06-18/server/resources#listing-resources)所指定。包含 `resources/list`做為 `method`。

**注意**  
如需 `resources/list` 選用支援參數的清單，請參閱[模型內容通訊協定文件](https://modelcontextprotocol.io/specification/2025-06-18) 中 [資源](https://modelcontextprotocol.io/specification/2025-06-18/server/resources)請求內文中的 `params` 物件。在搜尋列旁的頁面頂端，您可以選取要檢視其文件的 MCP 版本。請確定 [Amazon Bedrock AgentCore 支援](gateway-using.md)該版本。

回應會傳回可用資源清單及其 URIs、名稱、描述和 MIME 類型。

**注意**  
與工具和提示不同，傳回的資源 URIs沒有目標名稱字首。來自 MCP 伺服器的原始 URI 會依原狀傳回。

**注意**  
當多個目標公開相同的資源 URI 時，閘道會從具有最低`resourcePriority`值的目標傳回資源。

**重要**  
資源 URIs由下游 MCP 伺服器目標提供，且未經閘道驗證或淨化。惡意或遭入侵的 MCP 伺服器可能會傳回URIs （例如 `file:///etc/passwd`)。在遵循資源 URIs 之前進行驗證和清理，並且不會自動從不受信任的 MCP 伺服器目標擷取或轉譯 URIs。

## 列出資源的程式碼範例
<a name="gateway-using-mcp-resources-list-examples"></a>

若要查看閘道中列出可用資源的範例，請選取下列其中一種方法：

**Example**  

1. 

   ```
   import requests
   import json
   
   def list_resources(gateway_url, access_token):
       headers = {
           "Content-Type": "application/json",
           "Authorization": f"Bearer {access_token}"
       }
   
       payload = {
           "jsonrpc": "2.0",
           "id": "list-resources-request",
           "method": "resources/list"
       }
   
       response = requests.post(gateway_url, headers=headers, json=payload)
       return response.json()
   
   # Example usage
   gateway_url = "https://${GatewayEndpoint}/mcp" # Replace with your actual gateway endpoint
   access_token = "${AccessToken}" # Replace with your actual access token
   resources = list_resources(gateway_url, access_token)
   print(json.dumps(resources, indent=2))
   ```

1. 

   ```
   import asyncio
   from mcp import ClientSession
   from mcp.client.streamable_http import streamablehttp_client
   
   async def execute_mcp(
       url,
       token,
       headers=None
   ):
       default_headers = {
           "Authorization": f"Bearer {token}"
       }
       headers = {**default_headers, **(headers or {})}
   
       async with streamablehttp_client(
          url=url,
          headers=headers,
       ) as (
           read_stream,
           write_stream,
           callA,
       ):
           async with ClientSession(read_stream, write_stream) as session:
               # 1. Perform initialization handshake
               print("Initializing MCP...")
               _init_response = await session.initialize()
               print(f"MCP Server Initialize successful! - {_init_response}")
   
               # 2. List available resources
               print("Listing resources...")
               cursor = True
               resources = []
               while cursor:
                   next_cursor = cursor
                   if isinstance(cursor, bool):
                       next_cursor = None
                   list_resources_response = await session.list_resources(next_cursor)
                   resources.extend(list_resources_response.resources)
                   cursor = list_resources_response.nextCursor
   
               if resources:
                   for resource in resources:
                       print(f"{resource.uri} - {resource.name} ({resource.mimeType})")
               print(f"Total resources: {len(resources)}")
   
   async def main():
       url = "https://${GatewayEndpoint}/mcp"
       token = "your_bearer_token_here"
   
       # Optional additional headers
       additional_headers = {
           "Content-Type": "application/json",
       }
   
       await execute_mcp(
           url=url,
           token=token,
           headers=additional_headers
       )
   
   # Run the async function
   if __name__ == "__main__":
       asyncio.run(main())
   ```

1. 

   ```
   # NOTE: Strands SDK resource support may vary. Use the MCP Client approach
   # above for the most reliable resources/list implementation.
   from strands.tools.mcp.mcp_client import MCPClient
   from mcp.client.streamable_http import streamablehttp_client
   
   def create_streamable_http_transport(mcp_url: str, access_token: str):
          return streamablehttp_client(mcp_url, headers={"Authorization": f"Bearer {access_token}"})
   
   def run_agent(mcp_url: str, access_token: str):
       mcp_client = MCPClient(lambda: create_streamable_http_transport(mcp_url, access_token))
   
       with mcp_client:
           result = mcp_client.list_resources_sync()
           print(f"Found the following resources: {[r.uri for r in result.resources]}")
   
   run_agent(<MCP URL>, <Access token>)
   ```

1. 

   ```
   # NOTE: LangGraph MCP adapter resource support may vary. Use the MCP Client
   # approach above for the most reliable resources/list implementation.
   
   import asyncio
   from mcp import ClientSession
   from mcp.client.streamable_http import streamablehttp_client
   
   async def list_resources(url, token):
       headers = {"Authorization": f"Bearer {token}"}
       async with streamablehttp_client(url=url, headers=headers) as (
           read_stream, write_stream, callA
       ):
           async with ClientSession(read_stream, write_stream) as session:
               await session.initialize()
               response = await session.list_resources()
               for resource in response.resources:
                   print(f"{resource.uri} - {resource.name}")
   
   asyncio.run(list_resources("https://${GatewayEndpoint}/mcp", "${AccessToken}"))
   ```