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列出 AgentCore 网关中的资源模板 - Amazon Bedrock AgentCore
列出资源模板的代码示例

列出 AgentCore 网关中的资源模板

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

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

${RequestBody}

替换以下值：

注意

有关可选支持的参数列表resources/templates/list，请参阅模型上下文协议文档资源中请求正文中的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 支持的版本。

响应会返回可用资源模板的列表，以及其 URI 模板、名称、描述和 MIME 类型。

注意

资源模板使用 RFC 6570 URI 模板来描述参数化资源。客户可以填写模板参数来构造具体的资源 URI 以供使用resources/read。例如，users://{user_id}/profile可以将模板扩展到users://123/profile。

列出资源模板的代码示例

要查看在网关中列出可用资源模板的示例，请选择以下方法之一：

例
Python requests package

  1. import requests
import json

def list_resource_templates(gateway_url, access_token):
    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {access_token}"
    }

    payload = {
        "jsonrpc": "2.0",
        "id": "list-resource-templates-request",
        "method": "resources/templates/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
templates = list_resource_templates(gateway_url, access_token)
print(json.dumps(templates, indent=2))
MCP Client

  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 resource templates
            print("Listing resource templates...")
            cursor = True
            templates = []
            while cursor:
                next_cursor = cursor
                if isinstance(cursor, bool):
                    next_cursor = None
                list_templates_response = await session.list_resource_templates(next_cursor)
                templates.extend(list_templates_response.resourceTemplates)
                cursor = list_templates_response.nextCursor

            if templates:
                for template in templates:
                    print(f"{template.uriTemplate} - {template.name}")
            print(f"Total resource templates: {len(templates)}")

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

  1. # NOTE: Strands SDK resource template support may vary. Use the MCP Client
# approach above for the most reliable resources/templates/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_resource_templates_sync()
        print(f"Found the following templates: {[t.uriTemplate for t in result.resourceTemplates]}")

run_agent(<MCP URL>, <Access token>)
LangGraph MCP Client

  1. # NOTE: LangGraph MCP adapter resource template support may vary. Use the MCP
# Client approach above for the most reliable implementation.

import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client

async def list_resource_templates(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_resource_templates()
            for template in response.resourceTemplates:
                print(f"{template.uriTemplate} - {template.name}")

asyncio.run(list_resource_templates("https://${GatewayEndpoint}/mcp", "${AccessToken}"))