How to Use the Umeng / 友盟+ MCP in Cursor

Q: How do I use Umeng / 友盟+ to check campaign status in Cursor?

Use the getpushstatus tool. This lets the AI call the API and inject the current operational state into your code block. You're always working with live data, not just mock stubs.

Q: Can Cursor use Umeng / 友盟+ to track user performance?

Yes. Fetching analytics like getappsummary gives the AI the necessary context—like overall usage metrics—to write accurate, data-driven code that reports on performance.

Q: What Umeng / 友盟+ tools help with new user onboarding in Cursor?

You'll use getnewusers to grab the registration count and geteventdata to check for specific initial actions. This allows you to write code that immediately validates a user's starting activity.

Q: Can Cursor use Umeng / 友盟+ to list recent tasks for debugging?

You can certainly do that by calling listpushtasks. The resulting log of recent pushes provides immediate context, which is perfect for writing debug code or validation checks.

Inject real Umeng / 友盟+ marketing data directly into your code with Cursor.

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Connect Umeng / 友盟+ MCP to Cursor

Create your Vinkius account to connect Umeng / 友盟+ 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 Umeng / 友盟+ with Cursor

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Build logic around user acquisition.

Need to write a function that counts how many people signed up? Call `get_new_users` and inject the live count right into your script. The AI will generate working code using this real API response. If you're tracking growth, pairing that data with `get_active_users` lets you build more complex logic comparing current vs. new user bases.

Develop retention-aware features.

Writing code for a loyalty program? Use `get_retention` to fetch the latest stickiness data. The AI will use that numerical output to structure your feature's logic. For longer context, checking session length stats with `get_duration_stats` helps you write accurate assumptions about how long users stay engaged.

Automate push notification handling.

When a user triggers an event, you might need to send a message. The agent can call `send_push`, and the returned success status lets your code branch correctly. You also have tools like `get_event_data` that let you fetch custom payload data, which is essential for making highly specific, contextual messages in your code.

Setup guide

Set up Umeng / 友盟+ 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 Umeng / 友盟+ 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 Umeng / 友盟+ transactions." If the MCP tools are loaded correctly, Cursor will call the Umeng / 友盟+ tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Umeng / 友盟+. 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 Umeng / 友盟+ MCP in Cursor

Use the `get_push_status` tool. This lets the AI call the API and inject the current operational state into your code block. You're always working with live data, not just mock stubs.

Yes. Fetching analytics like `get_app_summary` gives the AI the necessary context—like overall usage metrics—to write accurate, data-driven code that reports on performance.

You'll use `get_new_users` to grab the registration count and `get_event_data` to check for specific initial actions. This allows you to write code that immediately validates a user's starting activity.

This server touches aggregate user event payloads, specifically custom event data. When using these metrics in your code, remember they describe actions taken within the app.

You can certainly do that by calling `list_push_tasks`. The resulting log of recent pushes provides immediate context, which is perfect for writing debug code or validation checks.

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