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How to Use the Douyu MCP in Cursor

Inject live Douyu stream data and chat configurations directly into your Cursor codebase.

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Works with every AI agent you already use

…and any MCP-compatible client

Douyu MCP on Cursor AI Code Editor MCP Client Douyu MCP on Claude Desktop App MCP Integration Douyu MCP on OpenAI Agents SDK MCP Compatible Douyu MCP on Visual Studio Code MCP Extension Client Douyu MCP on GitHub Copilot AI Agent MCP Integration Douyu MCP on Google Gemini AI MCP Integration Douyu MCP on Lovable AI Development MCP Client Douyu MCP on Mistral AI Agents MCP Compatible Douyu MCP on Amazon AWS Bedrock MCP Support
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Connect Douyu MCP to Cursor

Create your Vinkius account to connect Douyu to Cursor 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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Code generation with live API responses

The `get_room_detail` tool fetches live channel information directly into your Cursor agent. This means you write code using actual, real-time JSON payloads instead of relying on outdated API documentation. When building monitoring dashboards, your editor uses live viewer counts and stream titles. You avoid the typical trial-and-error cycle of writing mock data structures.

Automated audience analytics in Cursor

Run the `get_top_donators` tool to gather raw tipping data for your analysis scripts. If you need to build user profiles, `get_user_stats` pulls specific viewer telemetry for your database schemas. This MCP Server lets your agent inspect the virtual economy of any stream. You can write ingestion pipelines that map `get_gift_list` payloads straight to your database tables.

Live chat WebSocket integration

Use the `get_danmu_config` tool to retrieve the connection parameters for the Douyu WebSocket servers. This gives your agent the exact IP addresses and ports needed to construct a real-time bullet-chat parser. This MCP tool lets you write, test, and debug live chat listener code in Cursor. The agent uses the actual platform configs to ensure your WebSocket client connects on the first try.

Setup guide

Set up Douyu MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the Douyu MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent Douyu transactions." If the MCP tools are loaded correctly, Cursor will call the Douyu tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "douyu-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Douyu MCP in Cursor

Add the server configuration to your global `~/.cursor/mcp.json` or project-specific `.cursor/mcp.json` file. Once saved, Cursor's Agent mode can immediately run the tools.
Yes. The `follow_streamer` tool executes a follow action using your OAuth credentials. Your agent can call this during test runs or custom automation scripts.
Yes, you can use the `send_message` tool to post to the live Danmu chat. Your editor's agent can trigger these messages during debugging sessions.
The `get_live_rooms` tool retrieves live streams for any given category ID. You can use it to build dynamic playlists or monitor active esports events directly in your workspace.
Vinkius processes all requests in an isolated, ephemeral sandbox. Your Douyu session cookies and stream metrics are strictly scoped to the active execution context and are destroyed immediately after.

Start using the Douyu MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Douyu. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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