MCP Gemini CLI Base

# prompt_mcp.py import asyncio from fastmcp import Client from fastmcp import FastMCP # create a mcp object with name TopicExplainer mcp = FastMCP(name='TopicExplainerPrompt') # create prompt @mcp.prompt def explain_topic(topic : str) -> str: "Generates a query prompt for explanation of topic" return f"Can you explain {topic} in a beginner friendly manner with simple wordings and no technical jargon. Include Concept & Examples." # create mcp client to test server directly (final prompt display) async def test_prompt(): # create a aynschronus loop to run mcp client async with Client(mcp) as client: # fetch all prompts prompts = await client.list_prompts() print("Available prompts:", [p.name for p in prompts]) # Provide the topic to explain_topic for testing and check results result = await client.get_prompt("explain_topic", {"topic": "machine learning"}) # change topic # add more prompts here for testing multiple prompts print("Generated prompt:", result.messages[0].content.text) if __name__ == "__main__": asyncio.run(test_prompt())