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

要列出 AgentCore 网关提供的所有可用工具，请向网关的 MCP 端点发出 POST 请求，并在请求正文中指定`tools/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[模型上下文协议 (MCP)](https://modelcontextprotocol.io/docs/getting-started/intro) 中的[列出工具](https://modelcontextprotocol.io/specification/2025-06-18/server/tools#listing-tools)中所述。包含`tools/list`为`method`.

**注意**  
有关可选支持的参数列表`tools/list`，请参阅[模型上下文协议文档](https://modelcontextprotocol.io/specification/2025-06-18)[工具](https://modelcontextprotocol.io/specification/2025-06-18/server/tools)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。

响应会返回可用工具的列表，以及它们的名称、描述和参数架构。

## 列表工具的代码示例
<a name="gateway-using-mcp-list-examples"></a>

要查看在网关中列出可用工具的示例，请选择以下方法之一：

**Example**  

1. 

   ```
   import requests
   import json
   
   def list_tools(gateway_url, access_token):
       headers = {
           "Content-Type": "application/json",
           "Authorization": f"Bearer {access_token}"
       }
   
       payload = {
           "jsonrpc": "2.0",
           "id": "list-tools-request",
           "method": "tools/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
   tools = list_tools(gateway_url, access_token)
   print(json.dumps(tools, 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 tools
               print("Listing tools...")
               cursor = True
               tools = []
               while cursor:
                   next_cursor = cursor
                   if type(cursor) == bool:
                       next_cursor = None
                   list_tools_response = await session.list_tools(next_cursor)
                   tools.extend(list_tools_response.tools)
                   cursor = list_tools_response.nextCursor
   
               tool_names = []
               if tools:
                   for tool in tools:
                       tool_names.append(tool.name)
               tool_names_string = "\n".join(tool_names)
               print(
                   f"List MCP tools. # of tools - {len(tools)}"
                   f"List of tools - \n{tool_names_string}\n"
               )
   
   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. 

   ```
   from strands.tools.mcp.mcp_client import MCPClient
   from mcp.client.streamable_http import streamablehttp_client
   import os
   
   def create_streamable_http_transport(mcp_url: str, access_token: str):
          return streamablehttp_client(mcp_url, headers={"Authorization": f"Bearer {access_token}"})
   
   def get_full_tools_list(client):
       """
       List tools w/ support for pagination
       """
       more_tools = True
       tools = []
       pagination_token = None
       while more_tools:
           tmp_tools = client.list_tools_sync(pagination_token=pagination_token)
           tools.extend(tmp_tools)
           if tmp_tools.pagination_token is None:
               more_tools = False
           else:
               more_tools = True
               pagination_token = tmp_tools.pagination_token
       return tools
   
   def run_agent(mcp_url: str, access_token: str):
       mcp_client = MCPClient(lambda: create_streamable_http_transport(mcp_url, access_token))
   
       with mcp_client:
           tools = get_full_tools_list(mcp_client)
           print(f"Found the following tools: {[tool.tool_name for tool in tools]}")
   
   run_agent(<MCP URL>, <Access token>)
   ```

1. 

   ```
   import asyncio
   
   from langchain_mcp_adapters.client import MultiServerMCPClient
   
   def list_tools(
       url,
       headers
   ):
       mcp_client = MultiServerMCPClient(
           {
               "agent": {
                   "transport": "streamable_http",
                   "url": url,
                   "headers": headers,
               }
           }
       )
       tools = asyncio.run(mcp_client.get_tools())
       tool_details = []
       tool_names = []
       for tool in tools:
           tool_names.append(f"{tool.name}")
           tool_detail = f"{tool.name} - {tool.description} \n"
   
           tool_properties = tool.args_schema.get('properties', {})
           properties = []
           for property_name, tool_property in tool_properties.items():
               properties.append(f"{property_name} - {tool_property.get('description', None)} \n")
           tool_details.append(f"{tool_detail}{"\n".join(properties)}")
   
       tool_details_string = "\n".join(tool_details)
       tool_names_string = "\n".join(tool_names)
       print(
           f"Langchain: List MCP tools. # of tools - {len(tools)}\n",
           f"Langchain: List of tool names - \n{tool_names_string}\n"
           f"Langchain: Details of tools - \n{tool_details_string}\n"
       )
   ```

**注意**  
如果在网关上启用了搜索，则搜索工具`x_amz_bedrock_agentcore_search`将在响应中首先列出。