Elenca i modelli di risorse in un AgentCore gateway
Per elencare tutti i modelli di risorse disponibili forniti da un AgentCore gateway, effettuate una richiesta POST all'endpoint MCP del gateway e specificate resources/templates/list come metodo nel corpo della richiesta:
POST /mcp HTTP/1.1
Host: ${GatewayEndpoint}
Content-Type: application/json
Authorization: ${Authorization header}
${RequestBody}
Sostituisci i valori seguenti:
-
${GatewayEndpoint}— L'URL del gateway, come fornito nella risposta dell'CreateGatewayAPI.
-
${Authorization header}— Le credenziali di autorizzazione fornite dal provider di identità quando si configura l'autorizzazione in entrata.
-
${RequestBody}— Il payload JSON del corpo della richiesta, come specificato nei modelli di risorse nel Model Context Protocol (MCP). Includi comeresources/templates/list. method
La risposta restituisce un elenco di modelli di risorse disponibili con i relativi modelli URI, nomi, descrizioni e tipi MIME.
I modelli di risorse utilizzano i modelli URI RFC 6570 per descrivere le risorse parametrizzate. I client possono compilare i parametri del modello per costruire URI di risorse concreti da utilizzare. resources/read Ad esempio, un modello users://{user_id}/profile può essere espanso in. users://123/profile
Esempi di codice per elencare modelli di risorse
Per visualizzare esempi di elenco dei modelli di risorse disponibili nel gateway, selezionate uno dei seguenti metodi:
Esempio
- Python requests package
-
-
import requests
import json
def list_resource_templates(gateway_url, access_token):
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {access_token}"
}
payload = {
"jsonrpc": "2.0",
"id": "list-resource-templates-request",
"method": "resources/templates/list"
}
response = requests.post(gateway_url, headers=headers, json=payload)
return response.json()
# Example usage
gateway_url = "https://${GatewayEndpoint}/mcp" # Replace with your actual gateway endpoint
access_token = "${AccessToken}" # Replace with your actual access token
templates = list_resource_templates(gateway_url, access_token)
print(json.dumps(templates, indent=2))
- MCP Client
-
-
import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
async def execute_mcp(
url,
token,
headers=None
):
default_headers = {
"Authorization": f"Bearer {token}"
}
headers = {**default_headers, **(headers or {})}
async with streamablehttp_client(
url=url,
headers=headers,
) as (
read_stream,
write_stream,
callA,
):
async with ClientSession(read_stream, write_stream) as session:
# 1. Perform initialization handshake
print("Initializing MCP...")
_init_response = await session.initialize()
print(f"MCP Server Initialize successful! - {_init_response}")
# 2. List available resource templates
print("Listing resource templates...")
cursor = True
templates = []
while cursor:
next_cursor = cursor
if isinstance(cursor, bool):
next_cursor = None
list_templates_response = await session.list_resource_templates(next_cursor)
templates.extend(list_templates_response.resourceTemplates)
cursor = list_templates_response.nextCursor
if templates:
for template in templates:
print(f"{template.uriTemplate} - {template.name}")
print(f"Total resource templates: {len(templates)}")
async def main():
url = "https://${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
-
-
# 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
-
-
# 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}"))
