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Get a prompt from an AgentCore gateway - Amazon Bedrock AgentCore

Get a prompt from an AgentCore gateway

To get a specific prompt, make a POST request to the gateway’s MCP endpoint and specify prompts/get as the method in the request body, name of the prompt, and the arguments:

POST /mcp HTTP/1.1 Host: ${GatewayEndpoint} Content-Type: application/json Authorization: ${Authorization header} ${RequestBody}

Replace the following values:

  • ${GatewayEndpoint} – The URL of the gateway, as provided in the response of the CreateGateway API.

  • ${Authorization header} – The authorization credentials from the identity provider when you set up inbound authorization.

  • ${RequestBody} – The JSON payload of the request body, as specified in Getting a prompt in the Model Context Protocol (MCP) . Include prompts/get as the method and include the name of the prompt and its arguments.

The response returns the rendered prompt as an array of messages, each with a role and content.

Note

The prompts/get operation proxies the request live to the downstream MCP server. The prompt name must include the target prefix (for example, myTarget___myPrompt).

Code samples for getting a prompt

To see examples of getting a prompt from the gateway, select one of the following methods:

Example
curl
  1. The following curl request shows an example request to get a prompt called myTarget___code_review through a gateway with the ID 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": "get-prompt-request", "method": "prompts/get", "params": { "name": "myTarget___code_review", "arguments": { "language": "python", "code": "print(\"hello\")" } } }'
Python requests package
  1. import requests import json def get_prompt(gateway_url, access_token, prompt_name, arguments): headers = { "Content-Type": "application/json", "Authorization": f"Bearer {access_token}" } payload = { "jsonrpc": "2.0", "id": "get-prompt-request", "method": "prompts/get", "params": { "name": prompt_name, "arguments": arguments } } 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 = get_prompt( gateway_url, access_token, "myTarget___code_review", # Replace with {targetName}___{promptName} {"language": "python", "code": "print('hello')"} ) print(json.dumps(result, indent=2))
MCP Client
  1. from mcp import ClientSession from mcp.client.streamable_http import streamablehttp_client import asyncio async def execute_mcp( url, token, prompt_name, prompt_arguments, 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. Get specific prompt print(f"Getting prompt: {prompt_name}") prompt_response = await session.get_prompt( name=prompt_name, arguments=prompt_arguments ) print(f"Prompt response: {prompt_response}") return prompt_response async def main(): url = "https://${GatewayEndpoint}/mcp" token = "your_bearer_token_here" prompt_name = "myTarget___code_review" prompt_arguments = { "language": "python", "code": "print('hello')" } await execute_mcp( url=url, token=token, prompt_name=prompt_name, prompt_arguments=prompt_arguments ) if __name__ == "__main__": asyncio.run(main())
LangGraph MCP Client
  1. NOTE: LangGraph MCP adapter prompt support may vary. Use the MCP Client approach above for the most reliable prompts/get implementation.

    import asyncio from mcp import ClientSession from mcp.client.streamable_http import streamablehttp_client async def get_prompt(url, token, prompt_name, arguments): 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.get_prompt( name=prompt_name, arguments=arguments ) for message in response.messages: print(f"{message.role}: {message.content}") asyncio.run(get_prompt( "https://${GatewayEndpoint}/mcp", "${AccessToken}", "myTarget___code_review", {"language": "python", "code": "print('hello')"} ))

Errors

The prompts/get operation can return the following types of errors:

  • Errors returned as part of the HTTP status code:

    AuthenticationError

    The request failed due to invalid authentication credentials.

    HTTP Status Code : 401

    AuthorizationError

    The caller does not have permission to get the prompt.

    HTTP Status Code : 403

    ResourceNotFoundError

    The specified prompt does not exist.

    HTTP Status Code : 404

    ValidationError

    The provided arguments do not satisfy the prompt’s required arguments.

    HTTP Status Code : 400

    InternalServerError

    An internal server error occurred.

    HTTP Status Code : 500

  • MCP errors. For more information about these types of errors, see Prompts in the Model Context Protocol (MCP) documentation.