Fetch Resource and Prompt from MCP

Your currency server exposes a resource (file://currencies.txt) and a prompt (convert_currency_prompt) that combine the user's request with task-specific context and rules. To feed an LLM, the client must fetch both in one go. Implement a helper function called get_context_from_mcp() that returns the resource text and the prompt text (with the user's query already in it) so the caller can build the message.

The currency_server.py file is available with a tool, resource, and prompt. Use the same session to read the resource and get the prompt with the user's input.

Bu egzersiz

Introduction to Model Context Protocol (MCP)

kursunun bir parçasıdır

Kursu Görüntüle

Egzersiz talimatları

Inside the session, call the method to read the resource at "file://currencies.txt".
Call the method to get the prompt by name with the user's input: use prompt name "convert_currency_prompt" and an arguments dict with key "currency_request" and value user_query.

Uygulamalı interaktif egzersiz

Bu örnek kodu tamamlayarak bu egzersizi bitirin.

from mcp import ClientSession, StdioServerParameters
from mcp.client.stdio import stdio_client

async def get_context_from_mcp(user_query: str) -> tuple[str, str]:
    """Fetch resource content and prompt text from the MCP server."""
    params = StdioServerParameters(command=sys.executable, args=["currency_server.py"])

    async with stdio_client(params) as (reader, writer):
        async with ClientSession(reader, writer) as session:
            await session.initialize()

            # Read the resource (supported currencies)
            resource_result = await session.____("file://currencies.txt")
            resource_text = resource_result.contents[0].text

            # Get the prompt with the user's query
            prompt_result = await session.____("convert_currency_prompt",
                arguments={"currency_request": user_query})
            prompt_text = prompt_result.messages[0].content.text

            return resource_text, prompt_text

print(asyncio.run(get_context_from_mcp("How much is 50 GBP in euros?")))

Kodu Düzenle ve Çalıştır