# 列出 AgentCore 网关中的可用资源
<a name="gateway-using-mcp-resources-list"></a>

要列出 AgentCore 网关提供的所有可用资源，请向网关的 MCP 端点发出 POST 请求，并在请求正文中指定`resources/list`为方法：

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

${RequestBody}
```

替换以下值：
+  `${GatewayEndpoint}`— 网关的网址，如 [CreateGateway](https://docs.aws.amazon.com/bedrock-agentcore-control/latest/APIReference/API_CreateGateway.html)API 的响应中所述。
+  `${Authorization header}`— 设置[入站授权时身份提供商提供的授权凭证](gateway-inbound-auth.md)。
+  `${RequestBody}`— 请求正文的 JSON 有效负载，如在[模型上下文协议 (MCP)](https://modelcontextprotocol.io/docs/getting-started/intro) 中[列出资源](https://modelcontextprotocol.io/specification/2025-06-18/server/resources#listing-resources)中所述。包含`resources/list`为`method`.

**注意**  
有关可选支持的参数列表`resources/list`，请参阅[模型上下文协议文档](https://modelcontextprotocol.io/specification/2025-06-18)[资源](https://modelcontextprotocol.io/specification/2025-06-18/server/resources)中请求正文中的`params`对象。在页面顶部搜索栏旁边，您可以选择要查看其文档的 MCP 版本。确保该版本是 [Amazon Bedrock AgentCore 支持的](gateway-using.md)版本。

响应会返回可用资源列表，包括它们的 URI、名称、描述和 MIME 类型。

**注意**  
与工具和提示不同，资源 URI 返回时不带目标名称前缀。来自 MCP 服务器的原始 URI 按原样返回。

**注意**  
当多个目标公开相同的资源 URI 时，网关会从具有最低`resourcePriority`值的目标返回资源。

**重要**  
资源 URI 由下游 MCP 服务器目标提供，网关不进行验证或清理。恶意或受感染的 MCP 服务器可能会返回指向内部端点 (SSRF) 或本地文件系统路径（例如）的 URI。`file:///etc/passwd`在关注资源 URI 之前对其进行验证和清理，并且不要自动从不受信任的 MCP 服务器目标获取或呈现 URI。

## 列出资源的代码示例
<a name="gateway-using-mcp-resources-list-examples"></a>

要查看在网关中列出可用资源的示例，请选择以下方法之一：

**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}"))
   ```