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Buat agen yang menggunakan AgentCore gateway Anda
Setelah membuat dan menguji gateway Anda, Anda dapat membuat dan menghubungkan agen AI ke gateway Anda. Agen yang terhubung ke gateway Anda dapat memanggil alat di gateway dan menggunakan model Amazon Bedrock untuk menanggapi pertanyaan.
Untuk mempelajari cara membuat agen, menghubungkannya ke gateway, dan memanggilnya untuk menjawab pertanyaan, pilih salah satu metode berikut:
contoh
- Strands
-
-
from strands import Agent
from strands.models import BedrockModel
from strands.tools.mcp.mcp_client import MCPClient
from mcp.client.streamable_http import streamablehttp_client
def _invoke_agent(
bedrock_model,
mcp_client,
prompt
):
with mcp_client:
tools = mcp_client.list_tools_sync()
agent = Agent(
model=bedrock_model,
tools=tools
)
return agent(prompt)
def _create_streamable_http_transport(headers=None):
url = {gatewayUrl}
access_token = {AccessToken}
headers = {**headers} if headers else {}
headers["Authorization"] = f"Bearer {access_token}"
return streamablehttp_client(
url,
headers=headers
)
def _get_bedrock_model(model_id):
return BedrockModel(
inference_profile_id=model_id,
temperature=0.0,
streaming=True,
)
mcp_client = MCPClient(_create_streamable_http_transport)
if __name__ == "__main__":
user_prompt = "What orders do I have?"
_response = _invoke_agent(
bedrock_model=_get_bedrock_model("us.anthropic.claude-sonnet-4-20250514-v1:0"),
mcp_client=mcp_client,
prompt=user_prompt
)
print(_response)
- LangGraph
-
-
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
from langgraph.prebuilt import create_react_agent
from langchain_mcp_adapters.tools import load_mcp_tools
# Replace with actual values and the Amazon Bedrock model of your choice
gateway_url = "${GatewayUrl}"
access_token = "${AccessToken}"
model = ChatBedrock(model_id="anthropic.claude-3-sonnet-20240229-v1:0", region_name="us-west-2")
async with streamablehttp_client(gateway_url, headers={"Authorization": f"Bearer {access_token}"}) as (read, write, _):
async with ClientSession(read, write) as session:
# Initialize the connection
await session.initialize()
# Get tools
tools = await load_mcp_tools(session)
agent = create_react_agent(model, tools)
math_response = await agent.ainvoke({"messages": "what's (3 + 5) x 12?"})
- Claude Code
-
-
#!/bin/bash
# Script to add MCP server to Claude
# Server configuration
SERVER_NAME=${ServerName} # Write your server name
GATEWAY_MCP_SERVER_URL=${GatewayUrl} # The gateway MCP URL
AUTH_TOKEN=${AuthToken} # Claude authentication token
echo "Adding MCP server to Claude..."
echo "Server Name: $SERVER_NAME"
echo "Server URL: $SERVER_URL"
echo ""
# Add the MCP server
claude mcp add "$SERVER_NAME" "$GATEWAY_MCP_SERVER_URL" \
--transport http \
--header "Authorization: Bearer $AUTH_TOKEN"
# Check if the command was successful
if [ $? -eq 0 ]; then
echo "MCP server added successfully!"
echo ""
echo "You can now check mcp server health with: claude mcp list"
else
echo "Failed to add MCP server"
exit 1
fi