OrcaRouter tools in LlamaIndex

import asyncio
import os

from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai_like import OpenAILike
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec


async def main():
    client = BasicMCPClient(
        "npx",
        args=["-y", "@orcarouter/mcp"],
        env={"ORCAROUTER_API_KEY": os.environ["ORCAROUTER_API_KEY"]},
    )
    tools = await McpToolSpec(client=client).to_tool_list_async()
    # The agent's model, through OrcaRouter's OpenAI-compatible API, on the same key.
    llm = OpenAILike(
        model="openai/gpt-5-mini",
        api_base="https://api.orcarouter.ai/v1",
        api_key=os.environ["ORCAROUTER_API_KEY"],
        context_window=128000,
        is_chat_model=True,
        is_function_calling_model=True,
    )
    agent = FunctionAgent(
        tools=tools,
        llm=llm,
        system_prompt="Find a tool in the OrcaRouter catalog for each question, then run it.",
    )
    print(await agent.run("How many followers does @nasa have on TikTok?"))


asyncio.run(main())