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列出 AgentCore 閘道中的可用工具 - Amazon Bedrock AgentCore
列出工具的程式碼範例

本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。

列出 AgentCore 閘道中的可用工具

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

範例
2025-11-25 and earlier
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

在版本 上2026-07-28，每個請求都會攜帶 MCP-Protocol-Version標頭、 Mcp-Method 請求中繼資料標頭，以及內文中的_meta版本欄位。

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

閘道僅接受其protocolConfiguration.mcp組態 supportedVersions 欄位中列出的 MCP 通訊協定版本。若要使用版本 2026-07-28，請確定閘道的 supportedVersions包含它。您可以使用 UpdateGateway API 變更支援的版本。

取代以下的值：

  • ${GatewayEndpoint} – 閘道的 URL，如 CreateGateway API 的回應所提供。

  • ${Authorization header} – 當您設定傳入授權時，來自身分提供者的授權憑證。

  • ${McpProtocolVersion} – 請求的 MCP 通訊協定版本，例如 2025-11-25。版本必須是閘道支援的版本。

  • ${RequestBody} – 請求內文的 JSON 承載，如模型內容通訊協定 (MCP) 中的列出工具所指定。包含 tools/list做為 method。在版本 上2026-07-28，也在 中包含_meta版本欄位params。

注意

如需 tools/list 選用支援的參數清單，請參閱模型內容通訊協定文件 中工具 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 支援該版本。

回應會傳回可用工具的清單，其中包含其名稱、描述和參數結構描述。

列出工具的程式碼範例

若要查看閘道中列出可用工具的範例，請選取下列其中一種方法：

範例
Python requests package (2025-11-25 and earlier)

將 MCP-Protocol-Version標頭設定為閘道支援的版本。

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)

在版本 上2026-07-28，新增 MCP-Protocol-Version 和 Mcp-Method標頭，並在請求內文中包含_meta版本欄位。閘道的 supportedVersions 必須包含 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
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
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
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

如果在閘道上啟用搜尋，則搜尋工具x_amz_bedrock_agentcore_search會先列在回應中。