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列出 AgentCore 网关中的可用工具
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:
例
- 2025-11-25 and earlier
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POST /mcp HTTP/1.1 Host: ${GatewayEndpoint} Accept: application/json, text/event-stream Content-Type: application/json Authorization: ${Authorization header} MCP-Protocol-Version: ${McpProtocolVersion} ${RequestBody} - 2026-07-28
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在版本上
2026-07-28,每个请求都带有MCP-Protocol-Version标头、Mcp-Method请求元数据标头和正_meta文中的版本字段。POST /mcp HTTP/1.1 Host: ${GatewayEndpoint} Accept: application/json, text/event-stream Content-Type: application/json Authorization: ${Authorization header} MCP-Protocol-Version: 2026-07-28 Mcp-Method: tools/list ${RequestBody}
注意
网关仅接受其protocolConfiguration.mcp配置supportedVersions字段中列出的 MCP 协议版本。要使用版本2026-07-28,请确保您的网关supportedVersions包含该版本。您可以使用 UpdateGateway API 更改支持的版本。
替换以下值:
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${GatewayEndpoint}— 网关的 URL,如 CreateGateway API 的响应中所提供。 -
${Authorization header}— 设置入站授权时身份提供商提供的授权凭证。 -
${McpProtocolVersion}— 请求的 MCP 协议版本,例如2025-11-25。该版本必须是您的网关支持的版本。 -
${RequestBody}— 请求正文的 JSON 负载,如模型上下文协议 (MCP) https://modelcontextprotocol.io/specification/2025-06-18/server/tools#listing-tools中的 清单工具中所述。包括 tools/list作为method. 在版本中2026-07-28,还要包括_meta版本字段params。
注意
有关可选支持的参数列表tools/list,请参阅模型上下文协议文档工具params对象
响应返回可用工具的列表,包括其名称、描述和参数架构。
清单工具的代码示例
要查看列出网关中可用工具的示例,请选择以下方法之一:
例
- Python requests package (2025-11-25 and earlier)
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将标
MCP-Protocol-Version头设置为您的网关支持的版本。import requests import json def list_tools(gateway_url, access_token): headers = { "Content-Type": "application/json", "Authorization": f"Bearer {access_token}", "MCP-Protocol-Version": "2025-11-25" } payload = { "jsonrpc": "2.0", "id": "list-tools-request", "method": "tools/list" } response = requests.post(gateway_url, headers=headers, json=payload) return response.json() # Example usage gateway_url = "https://${GatewayEndpoint}/mcp" # Replace with your actual gateway endpoint access_token = "${AccessToken}" # Replace with your actual access token tools = list_tools(gateway_url, access_token) print(json.dumps(tools, indent=2)) - Python requests package (2026-07-28)
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在版本上
2026-07-28,添加MCP-Protocol-Version和Mcp-Method标头,并在请求正文中包含_meta版本字段。您的网关supportedVersions必须包括2026-07-28。import requests import json def list_tools(gateway_url, access_token): headers = { "Content-Type": "application/json", "Authorization": f"Bearer {access_token}", "MCP-Protocol-Version": "2026-07-28", "Mcp-Method": "tools/list" } payload = { "jsonrpc": "2.0", "id": "list-tools-request", "method": "tools/list", "params": { "_meta": { "io.modelcontextprotocol/protocolVersion": "2026-07-28", "io.modelcontextprotocol/clientInfo": {"name": "my-agent", "version": "1.0.0"}, "io.modelcontextprotocol/clientCapabilities": {} } } } response = requests.post(gateway_url, headers=headers, json=payload) return response.json() # Example usage gateway_url = "https://${GatewayEndpoint}/mcp" # Replace with your actual gateway endpoint access_token = "${AccessToken}" # Replace with your actual access token tools = list_tools(gateway_url, access_token) print(json.dumps(tools, indent=2)) - MCP Client
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import asyncio from mcp import ClientSession from mcp.client.streamable_http import streamablehttp_client async def execute_mcp( url, token, headers=None ): default_headers = { "Authorization": f"Bearer {token}" } headers = {**default_headers, **(headers or {})} async with streamablehttp_client( url=url, headers=headers, ) as ( read_stream, write_stream, callA, ): async with ClientSession(read_stream, write_stream) as session: # 1. Perform initialization handshake print("Initializing MCP...") _init_response = await session.initialize() print(f"MCP Server Initialize successful! - {_init_response}") # 2. List available tools print("Listing tools...") cursor = True tools = [] while cursor: next_cursor = cursor if type(cursor) == bool: next_cursor = None list_tools_response = await session.list_tools(next_cursor) tools.extend(list_tools_response.tools) cursor = list_tools_response.nextCursor tool_names = [] if tools: for tool in tools: tool_names.append(tool.name) tool_names_string = "\n".join(tool_names) print( f"List MCP tools. # of tools - {len(tools)}" f"List of tools - \n{tool_names_string}\n" ) async def main(): url = "https://${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()) - Strands MCP Client
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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>) - LangGraph MCP Client
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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。