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How to Use the Douyu MCP in OpenAI Agents SDK

Deploy production-grade Python agents that track Douyu metrics and chat streams using the OpenAI Agents SDK.

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OpenAI Agents SDK

Connect Douyu MCP to OpenAI Agents SDK

Create your Vinkius account to connect Douyu to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Pull live data with OpenAI Agents SDK

Your Python agents can now monitor live broadcast directories directly. By calling `get_live_rooms` and `get_stream_categories`, your OpenAI agent discovers active esports broadcasts and maps out what categories are trending right now on Douyu. The SDK handles tool discovery automatically. You pass this Douyu MCP Server to your OpenAI Agent constructor, and the model immediately knows how to find active streaming rooms without manual routing.

Analyze viewer engagement via MCP Server

Get granular data from specific rooms to calculate viewer metrics. Your agent uses `get_room_detail` to check live status and pulls the leaderboard using `get_top_donators` to see who is tipping on Douyu. This is where the OpenAI dashboard tracing comes in. You can inspect exactly how the agent evaluates Douyu streamer performance and verify every single tool call in your terminal.

Automate live chat and user checks

Engage with the live community by sending messages and pulling stats. Your OpenAI agent can invoke `send_message` to post comments or `get_user_stats` to inspect specific viewer profiles on Douyu. This MCP toolset gives your agent direct access to live chats. OpenAI's built-in guardrails ensure the agent doesn't spam chat. You set boundaries on `send_message` before the agent executes the action.

Setup guide

Set up Douyu MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Douyu tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Douyu tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Douyu tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Douyu Agent",
            instructions="You have access to Douyu tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Douyu. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Douyu MCP in OpenAI Agents SDK

Install the SDK via pip and initialize the server using `MCPServerStreamableHttp` with your Vinkius endpoint URL. Pass this instance in the `mcp_servers` list when instantiating your OpenAI Agent.
Yes. The OpenAI Agents SDK automatically registers all ten Douyu tools, including `get_live_rooms` and `search_streamers`, so your agent can call them dynamically.
You define validation logic in your Python code before passing tools to the OpenAI Agent. This prevents the model from calling `send_message` with inappropriate text or hitting rate limits.
Use `get_danmu_config` to get the WebSocket IP and port details. Your agent can hand this configuration off to a specialized connection manager.
Vinkius hosts the server in a zero-trust sandbox, so your OAuth tokens used for `follow_streamer` never leak to the LLM or external networks.

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