How to Use the Netease Yunxin IM MCP in Cursor

Q: How do I enable the Netease Yunxin IM MCP server in Cursor?

Create a .cursor/mcp.json file in your project root. Add the server command or URL, then toggle Agent mode in the chat panel.

Q: Do I need to mock chatroom data anymore?

No. You can tell Cursor to run getchatroommembers against a staging room and use that live JSON to populate your test fixtures.

Build chat features faster by injecting live Netease Yunxin IM data directly into your Cursor environment.

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Connect Netease Yunxin IM MCP to Cursor

Create your Vinkius account to connect Netease Yunxin IM 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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Setup Netease Yunxin IM with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live Test Account Generation

`create_im_user` and `update_im_user` let your agent provision backend accounts while you write the frontend code. Instead of stopping to manually register test users, you ask Cursor to generate three profiles. The AI creates them via the API and drops their exact credentials right into your `.env` file. Testing edge cases requires specific states. `block_im_user` and `unblock_im_user` let you simulate restricted access instantly. You verify how your UI renders a banned state without touching a third-party console.

Cursor MCP Server for Room Logic

`create_chatroom` and `destroy_chatroom` provide real environment IDs for your test suites. When writing integration tests, your AI client spins up an actual Netease room. It pastes the live room ID into your mock data file so you test against reality, not stubs. Fetching participant counts happens mid-keystroke. `get_chatroom_members` pulls the active roster into your editor. You see the exact JSON structure the API returns, making type definitions trivial to write.

Complex Payload Testing

`send_custom_message` and `send_text_message` fire real events at your application. You instruct Cursor to broadcast a custom JSON payload to a specific room. Your local dev server receives the live event, letting you debug the rendering logic immediately. Handling moderation events requires accurate testing. `mute_chatroom_member` and `recall_message` trigger those exact system notifications. You watch how your client-side code handles a suddenly deleted message in real time.

Setup guide

Set up Netease Yunxin IM MCP in Cursor

Prerequisites

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

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

Add the Netease Yunxin IM 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

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

Verify the connection

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

.cursor/mcp.json

{
  "mcpServers": {
    "netease-yunxin-im-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Netease Yunxin. 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 Netease Yunxin IM MCP in Cursor

Create a `.cursor/mcp.json` file in your project root. Add the server command or URL, then toggle Agent mode in the chat panel.

Yes. Because the agent interacts with the live API, it sees the exact response structures. It writes parsing logic based on real data instead of outdated documentation.

Yes. Every command executed by your agent hits the live endpoints. Using `create_chatroom` or `send_text_message` counts against your standard billing plan.

No. You can tell Cursor to run `get_chatroom_members` against a staging room and use that live JSON to populate your test fixtures.

Your credentials process strictly through the isolated Vinkius runtime. The server handles raw user IDs and custom message payloads in memory. We terminate the container immediately after execution, leaving zero trace of your session.

Use it with your favorite AI tools

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