# 列出 AgentCore 閘道中的資源範本
若要列出 AgentCore 閘道提供的所有可用資源範本，請對閘道的 MCP 端點提出 POST 請求，並在請求內文中指定 `resources/templates/list`作為方法：
```
POST /mcp HTTP/1.1
Host: ${GatewayEndpoint}
Content-Type: application/json
Authorization: ${Authorization header}
${RequestBody}
```
取代以下的值：
+ `${GatewayEndpoint}` – 閘道的 URL，如 [CreateGateway](https://docs.aws.amazon.com/bedrock-agentcore-control/latest/APIReference/API_CreateGateway.html) API 的回應所提供。
+ `${Authorization header}` – 當您設定[傳入](gateway-inbound-auth.md)授權時，來自身分提供者的授權憑證。
+ `${RequestBody}` – 請求內文的 JSON 承載，如[模型內容通訊協定 (MCP)](https://modelcontextprotocol.io/docs/getting-started/intro) 中的[資源範本](https://modelcontextprotocol.io/specification/2025-06-18/server/resources#resource-templates)所指定。包含 `resources/templates/list`做為 `method`。
**注意**
如需 `resources/templates/list` 選用支援參數的清單，請參閱[模型內容通訊協定文件](https://modelcontextprotocol.io/specification/2025-06-18) 中 [資源](https://modelcontextprotocol.io/specification/2025-06-18/server/resources)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](gateway-using.md)該版本。
回應會傳回可用資源範本的清單，其中包含其 URI 範本、名稱、描述和 MIME 類型。
**注意**
資源範本使用 RFC 6570 URI 範本來描述參數化資源。用戶端可以填入範本參數，以建構要與 搭配使用的具體資源 URIs`resources/read`。例如，範本`users://{user_id}/profile`可以擴展到 `users://123/profile`。
## 列出資源範本的程式碼範例
若要查看在閘道中列出可用資源範本的範例，請選取下列其中一種方法：
**Example**
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))
```
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://${GatewayEndpoint}/mcp"
token = "your_bearer_token_here"
# Optional additional headers
additional_headers = {
"Content-Type": "application/json",
}
await execute_mcp(
url=url,
token=token,
headers=additional_headers
)
# Run the async function
if __name__ == "__main__":
asyncio.run(main())
```
1.
```
# NOTE: Strands SDK resource template support may vary. Use the MCP Client
# approach above for the most reliable resources/templates/list implementation.
from strands.tools.mcp.mcp_client import MCPClient
from mcp.client.streamable_http import streamablehttp_client
def create_streamable_http_transport(mcp_url: str, access_token: str):
return streamablehttp_client(mcp_url, headers={"Authorization": f"Bearer {access_token}"})
def run_agent(mcp_url: str, access_token: str):
mcp_client = MCPClient(lambda: create_streamable_http_transport(mcp_url, access_token))
with mcp_client:
result = mcp_client.list_resource_templates_sync()
print(f"Found the following templates: {[t.uriTemplate for t in result.resourceTemplates]}")
run_agent(, )
```
1.
```
# NOTE: LangGraph MCP adapter resource template support may vary. Use the MCP
# Client approach above for the most reliable implementation.
import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
async def list_resource_templates(url, token):
headers = {"Authorization": f"Bearer {token}"}
async with streamablehttp_client(url=url, headers=headers) as (
read_stream, write_stream, callA
):
async with ClientSession(read_stream, write_stream) as session:
await session.initialize()
response = await session.list_resource_templates()
for template in response.resourceTemplates:
print(f"{template.uriTemplate} - {template.name}")
asyncio.run(list_resource_templates("https://${GatewayEndpoint}/mcp", "${AccessToken}"))
```