How to Use the Together AI Alternative MCP in Cursor

Q: How does Together AI Alternative integrate with Cursor?

You set it up by creating a .cursor/mcp.json in your project root or globally. Once configured, the agent mode lets you use the tools to inject data directly into your code flow.

Q: Can I manage batch jobs with Together AI Alternative and Cursor?

Yep. You can initiate background tasks using createbatch, monitor their progress with getbatch, and list all job states with listbatches. This keeps your main coding flow clean while background work runs.

Q: What is the best way to connect Together AI Alternative using Cursor?

For project-scope tools, creating a .cursor/mcp.json file in your root directory is ideal. This commits the server config right into your repository for team consistency.

Call AI APIs live into code with Cursor's MCP Server integration for immediate development context.

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Connect Together AI Alternative MCP to Cursor

Create your Vinkius account to connect Together AI Alternative 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 Together AI Alternative with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live API Data Injection

When the developer is mid-coding, use `create_chat_completion` to generate working code that pulls live data. The AI agent can call tools like `create_embeddings`, and your code gets real vector responses, not stubs. This ability means you're never switching context; you get immediate API results right into the editor where you need them.

Multimodal Content Creation

Need to build a feature that requires rich media? The MCP Server lets you generate images using `create_image_generation` and even create videos via `create_video_generation`. You can use these outputs as variables in the code you're writing. It’s way better than mock data. It gives you functional, real-world content to test against.

Full Data Pipeline Control

The server provides complete control over your data assets. You can upload files with `upload_file`, process them in batches using `create_batch`, and then manage those jobs through `get_batch` or `list_batches`. This structure lets developers build resilient, multi-step workflows that handle everything from file input to final inference.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "together-ai-alternative-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 Together AI. 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 Together AI Alternative MCP in Cursor

You set it up by creating a `.cursor/mcp.json` in your project root or globally. Once configured, the agent mode lets you use the tools to inject data directly into your code flow.

It gives you access to over 100 open-source models. This means you aren't locked into one provider; you pick the best model—whether it’s for chat or fine-tuning—for your specific coding task.

Yep. You can initiate background tasks using `create_batch`, monitor their progress with `get_batch`, and list all job states with `list_batches`. This keeps your main coding flow clean while background work runs.

The server touches file metadata, uploaded files, and the resulting text or vector embeddings. Because you're working in a project scope, this gives developers tight control over where that sensitive data goes.

For project-scope tools, creating a `.cursor/mcp.json` file in your root directory is ideal. This commits the server config right into your repository for team consistency.

Use it with your favorite AI tools

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

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