# AgentCore 게이트웨이에서 사용 가능한 도구 나열
<a name="gateway-using-mcp-list"></a>

AgentCore 게이트웨이가 제공하는 사용 가능한 모든 도구를 나열하려면 게이트웨이의 MCP 엔드포인트에 POST 요청을 하고 요청 본문에서를 메`tools/list`서드로 지정합니다.

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

${RequestBody}
```

다음 값을 교체합니다.
+  `${GatewayEndpoint}` - [CreateGateway](https://docs.aws.amazon.com/bedrock-agentcore-control/latest/APIReference/API_CreateGateway.html) API의 응답에 제공된 게이트웨이의 URL입니다.
+  `${Authorization header}` - [인바운드 권한 부여를 설정할 때 자격 증명 공급자의 권한 부여](gateway-inbound-auth.md) 자격 증명입니다.
+  `${RequestBody}` - [모델 컨텍스트 프로토콜(MCP)](https://modelcontextprotocol.io/docs/getting-started/intro)의 [도구 나열](https://modelcontextprotocol.io/specification/2025-06-18/server/tools#listing-tools)에 지정된 요청 본문의 JSON 페이로드입니다. 를 `tools/list`로 포함합니다`method`.

**참고**  
에 대해 선택적으로 지원되는 파라미터 목록은 [모델 컨텍스트 프로토콜 설명서](https://modelcontextprotocol.io/specification/2025-06-18)의 [도구](https://modelcontextprotocol.io/specification/2025-06-18/server/tools)에서 요청 본문의 `params` 객체를 `tools/list` 참조하세요. 검색 창 옆의 페이지 상단에서 문서를 보려는 MCP 버전을 선택할 수 있습니다. 버전이 [Amazon Bedrock AgentCore에서 지원하는](gateway-using.md) 버전인지 확인합니다.

응답은 이름, 설명 및 파라미터 스키마와 함께 사용 가능한 도구 목록을 반환합니다.

## 도구 나열을 위한 코드 샘플
<a name="gateway-using-mcp-list-examples"></a>

게이트웨이에서 사용 가능한 도구를 나열하는 예를 보려면 다음 방법 중 하나를 선택합니다.

**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"
       )
   ```

**참고**  
게이트웨이에서 검색이 활성화된 경우 검색 도구가 응답에 먼저 나열`x_amz_bedrock_agentcore_search`됩니다.