從 AgentCore 閘道讀取資源
若要讀取特定資源，請對閘道的 MCP 端點提出 POST 請求，並在請求內文和資源的 URI 中指定 resources/read 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 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。
-
${RequestBody} – 請求內文的 JSON 承載，如模型內容通訊協定 (MCP) 中的讀取資源所指定。包含 resources/read做為 method，並包含 資源uri的 。
回應會傳回contents陣列mimeType，其中每個項目都包含 uri、 和 text（適用於文字內容） 或 blob(base64 編碼的二進位內容）。
resources/read 操作會將即時請求代理到下游 MCP 伺服器。資源 URI 是 傳回的原始 URI resources/list（無目標字首）。
當多個目標公開相同的資源 URI 時，閘道會將請求路由到具有最低resourcePriority值的目標。
uri 參數會傳遞至下游 MCP 伺服器目標，無需淨化。使用者提供的資源 URI 可能包含用於 SSRF 攻擊的惡意 URL 端點，或嘗試讀取本機檔案系統路徑 （例如 file:///etc/passwd)。在呼叫 之前，根據預期 URIs 結構描述和模式的允許清單驗證資源 URIresources/read。僅使用 resources/list自信任的 MCP 伺服器目標傳回URIs。
讀取資源的程式碼範例
若要查看從閘道讀取資源的範例，請選取下列其中一種方法：
範例
- curl
-
-
下列 curl 請求顯示透過 ID 為 的config://app-settings閘道讀取具有 URI 資源的範例請求mygateway-abcdefghij。
curl -X POST \
https://mygateway-abcdefghij.gateway.bedrock-agentcore.us-west-2.amazonaws.com/mcp \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
-d '{
"jsonrpc": "2.0",
"id": "read-resource-request",
"method": "resources/read",
"params": {
"uri": "config://app-settings"
}
}'
- Python requests package
-
-
import requests
import json
def read_resource(gateway_url, access_token, resource_uri):
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {access_token}"
}
payload = {
"jsonrpc": "2.0",
"id": "read-resource-request",
"method": "resources/read",
"params": {
"uri": resource_uri
}
}
response = requests.post(gateway_url, headers=headers, json=payload)
return response.json()
# Example usage
gateway_url = "https://${GatewayEndpoint}/mcp" # Replace with your actual gateway endpoint
access_token = "${AccessToken}" # Replace with your actual access token
result = read_resource(
gateway_url,
access_token,
"config://app-settings" # Replace with the resource URI from resources/list
)
print(json.dumps(result, indent=2))
- MCP Client
-
-
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
from pydantic import AnyUrl
import asyncio
async def execute_mcp(
url,
token,
resource_uri,
headers=None
):
default_headers = {
"Authorization": f"Bearer {token}"
}
headers = {**default_headers, **(headers or {})}
async with streamablehttp_client(
url=url,
headers=headers,
) as (
read_stream,
write_stream,
callA,
):
async with ClientSession(read_stream, write_stream) as session:
# 1. Perform initialization handshake
print("Initializing MCP...")
_init_response = await session.initialize()
print(f"MCP Server Initialize successful! - {_init_response}")
# 2. Read specific resource
print(f"Reading resource: {resource_uri}")
resource_response = await session.read_resource(uri=AnyUrl(resource_uri))
for content in resource_response.contents:
print(f"URI: {content.uri}, MIME: {content.mimeType}")
if hasattr(content, 'text') and content.text:
print(f"Text: {content.text}")
elif hasattr(content, 'blob') and content.blob:
print(f"Blob (base64): {content.blob[:100]}...")
return resource_response
async def main():
url = "https://${GatewayEndpoint}/mcp"
token = "your_bearer_token_here"
resource_uri = "config://app-settings"
await execute_mcp(
url=url,
token=token,
resource_uri=resource_uri
)
if __name__ == "__main__":
asyncio.run(main())
- Strands MCP Client
-
-
注意：Strands SDK 資源支援可能會有所不同。使用上面的 MCP 用戶端方法進行最可靠的resources/read實作。
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.read_resource_sync(uri="config://app-settings")
print(result)
run_agent(<MCP URL>, <Access token>)
- LangGraph MCP Client
-
-
注意：LangGraph MCP 轉接器資源支援可能會有所不同。使用上面的 MCP 用戶端方法進行最可靠的resources/read實作。
import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
from pydantic import AnyUrl
async def read_resource(url, token, resource_uri):
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.read_resource(uri=AnyUrl(resource_uri))
for content in response.contents:
if hasattr(content, 'text') and content.text:
print(f"{content.uri}: {content.text}")
elif hasattr(content, 'blob') and content.blob:
print(f"{content.uri}: <blob, {len(content.blob)} chars base64>")
asyncio.run(read_resource(
"https://${GatewayEndpoint}/mcp",
"${AccessToken}",
"config://app-settings"
))
錯誤
resources/read 操作可能會傳回下列類型的錯誤：
