Daftar sumber daya yang tersedia di AgentCore gateway
Untuk mencantumkan semua sumber daya yang tersedia yang disediakan AgentCore gateway, buat permintaan POST ke titik akhir MCP gateway dan tentukan resources/list sebagai metode di badan permintaan:
POST /mcp HTTP/1.1
Host: ${GatewayEndpoint}
Content-Type: application/json
Authorization: ${Authorization header}
${RequestBody}
Ganti nilai-nilai berikut:
Respons menampilkan daftar sumber daya yang tersedia dengan URI, nama, deskripsi, dan tipe MIME mereka.
Tidak seperti alat dan prompt, URI sumber daya dikembalikan tanpa awalan nama target. URI asli dari server MCP dikembalikan apa adanya.
Ketika beberapa target mengekspos URI sumber daya yang sama, gateway mengembalikan sumber daya dari target dengan resourcePriority nilai terendah.
URI sumber daya disediakan oleh target server MCP hilir dan tidak divalidasi atau disanitasi oleh gateway. Server MCP yang berbahaya atau dikompromikan dapat mengembalikan URI yang menunjuk ke titik akhir internal (SSRF) atau jalur sistem file lokal (misalnya,). file:///etc/passwd Validasi dan sanitasi URI sumber daya sebelum mengikutinya, dan jangan secara otomatis mengambil atau merender URI dari target server MCP yang tidak tepercaya.
Contoh kode untuk sumber daya daftar
Untuk melihat contoh daftar sumber daya yang tersedia di gateway, pilih salah satu metode berikut:
contoh
- Python requests package
-
-
import requests
import json
def list_resources(gateway_url, access_token):
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {access_token}"
}
payload = {
"jsonrpc": "2.0",
"id": "list-resources-request",
"method": "resources/list"
}
response = requests.post(gateway_url, headers=headers, json=payload)
return response.json()
# Example usage
gateway_url = "https://${GatewayEndpoint}/mcp" # Replace with your actual gateway endpoint
access_token = "${AccessToken}" # Replace with your actual access token
resources = list_resources(gateway_url, access_token)
print(json.dumps(resources, indent=2))
- MCP Client
-
-
import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
async def execute_mcp(
url,
token,
headers=None
):
default_headers = {
"Authorization": f"Bearer {token}"
}
headers = {**default_headers, **(headers or {})}
async with streamablehttp_client(
url=url,
headers=headers,
) as (
read_stream,
write_stream,
callA,
):
async with ClientSession(read_stream, write_stream) as session:
# 1. Perform initialization handshake
print("Initializing MCP...")
_init_response = await session.initialize()
print(f"MCP Server Initialize successful! - {_init_response}")
# 2. List available resources
print("Listing resources...")
cursor = True
resources = []
while cursor:
next_cursor = cursor
if isinstance(cursor, bool):
next_cursor = None
list_resources_response = await session.list_resources(next_cursor)
resources.extend(list_resources_response.resources)
cursor = list_resources_response.nextCursor
if resources:
for resource in resources:
print(f"{resource.uri} - {resource.name} ({resource.mimeType})")
print(f"Total resources: {len(resources)}")
async def main():
url = "https://${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 support may vary. Use the MCP Client approach
# above for the most reliable resources/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_resources_sync()
print(f"Found the following resources: {[r.uri for r in result.resources]}")
run_agent(<MCP URL>, <Access token>)
- LangGraph MCP Client
-
-
# NOTE: LangGraph MCP adapter resource support may vary. Use the MCP Client
# approach above for the most reliable resources/list implementation.
import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
async def list_resources(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_resources()
for resource in response.resources:
print(f"{resource.uri} - {resource.name}")
asyncio.run(list_resources("https://${GatewayEndpoint}/mcp", "${AccessToken}"))
