How to Use the Twitch MCP in Cursor

Q: How do I get follower counts for Twitch in Cursor?

Just let the AI call getchannelfollowers. It'll generate a code snippet that accepts the channel name and uses the live API response data to populate your variables.

Q: What if I need to find specific Twitch channels via Cursor?

You use the searchchannels tool. The AI will generate code that takes the search query, calls the function, and then lets you work with the resulting list of channel objects.

Q: Is Twitch video retrieval possible within Cursor?

Yes, the tool set includes getvideos. You can generate code that accepts a user ID and then executes the API call to retrieve their list of uploaded videos for processing.

Write code that uses live Twitch data context right inside Cursor.

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Connect Twitch MCP to Cursor

Create your Vinkius account to connect Twitch 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 Twitch with Cursor

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Claude

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Inject Live Streaming Data into Code

Need to build a script that tracks streaming activity? Agent mode lets the AI call `get_streams` and injects the resulting data structure directly into your code block. You're writing working code, not just stubs. This means if you write a function needing current Twitch information, it uses real API responses from tools like `get_top_games`. It’s live context without leaving your editor.

Model User and Channel Data in Code

When modeling user behavior, you can use the data returned by the MCP Server. For instance, if you need to map out a user's interests, you call `get_followed_channels` and write code that processes the resulting channel list. This makes your application robust because it handles real Twitch metrics—like pulling follower counts using `get_followers`—not fake JSON.

Build Search Logic with Twitch Context

Writing a search feature? The AI can call `search_channels` and generate code that iterates over the results. This is perfect for building directory features in your project. Similarly, if you're coding a profile viewer, calling `get_channel_info` provides the necessary data fields to correctly populate your schema.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "twitch-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 Twitch. 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 Twitch MCP in Cursor

Just let the AI call `get_channel_followers`. It'll generate a code snippet that accepts the channel name and uses the live API response data to populate your variables.

Yep. Agent mode is built for this. You can write a function that calls multiple tools—say, `get_users` followed by `get_videos`—and the resulting data feeds into your working code.

You use the `search_channels` tool. The AI will generate code that takes the search query, calls the function, and then lets you work with the resulting list of channel objects.

The server touches public metrics and user IDs. When generating code, it assumes access to `Channel Info` and `User ID`, allowing you to write scripts that process publicly visible data without needing restricted permissions.

Yes, the tool set includes `get_videos`. You can generate code that accepts a user ID and then executes the API call to retrieve their list of uploaded videos for processing.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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