How to Use the Together AI Alternative MCP in Windsurf

Q: How do I search using Together AI Alternative with Windsurf?

You can feed raw text into createembeddings first. Then, your agent uses those vectors to query against other sources. This lets you move past simple keyword searches and find documents based on meaning.

Q: Can I manage file storage using Together AI Alternative with Windsurf?

Yeah, absolutely. You can use uploadfile to put data up for later processing or fine-tuning. The MCP Server gives you a way to track it via listfiles, so your agent always knows where the source material is.

Q: What if I need to scale my AI operations using Together AI Alternative with Windsurf?

If performance matters, use createendpoint. This sets up a dedicated connection point for predictable speed. You can then manage it—scaling or stopping it—using the MCP Server's endpoint tools.

Q: Is data privacy handled when using Together AI Alternative with Windsurf?

The server handles text/vector embeddings and chat completion data. Vinkius manages the connection, but remember to check your input data rules before running any process.

Build complex AI agents with Windsurf. Run chat, image generation, and data processing in multi-step chains.

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Connect Together AI Alternative MCP to Windsurf

Create your Vinkius account to connect Together AI Alternative to Windsurf 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 Windsurf

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate full content pipelines.

Windsurf figures out the whole process for you. You can set a goal like 'Generate an article based on this image,' and it will autonomously run `create_image_generation` first, then use that output to feed into `create_chat_completion`. The agent handles all the intermediate steps. It's ideal when you don't want to manually chain tools. Just define the end result, and Windsurf uses the MCP Server to execute the entire sequence, showing you what worked at each step.

Process data into searchable vectors.

Need to index a bunch of text? Use the `create_embeddings` tool. This turns large blocks of raw text into numerical vector embeddings that your agent can then query against other databases or models. This capability is crucial for RAG patterns. Instead of just sending data, you're generating structured metadata that lets the AI client perform advanced retrieval operations across many documents.

Manage asynchronous compute jobs.

When a job takes too long to finish—like batch transcription or complex fine-tuning—you don't want your agent hanging. The MCP Server handles this with `create_batch`. You kick off the process, and Windsurf can then use `get_batch` or `list_batches` to check its status later. This keeps the user experience smooth. Your agent doesn't wait; it sends a job, gets an ID back, and moves on until you ask for the results.

Setup guide

Set up Together AI Alternative MCP in Windsurf

Prerequisites

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

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Together AI Alternative MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Together AI Alternative payment history." If connected, Cascade will call the Together AI Alternative tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.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.

Why Choose Vinkius

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

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Real-time monitoring

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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 Together AI Alternative MCP in Windsurf

You can feed raw text into `create_embeddings` first. Then, your agent uses those vectors to query against other sources. This lets you move past simple keyword searches and find documents based on meaning.

Yeah, absolutely. You can use `upload_file` to put data up for later processing or fine-tuning. The MCP Server gives you a way to track it via `list_files`, so your agent always knows where the source material is.

If performance matters, use `create_endpoint`. This sets up a dedicated connection point for predictable speed. You can then manage it—scaling or stopping it—using the MCP Server's endpoint tools.

The server handles *text/vector embeddings* and chat completion data. Vinkius manages the connection, but remember to check your input data rules before running any process.

Start by setting a clear goal in Windsurf's Cascade. The MCP Server provides the necessary tools—like `create_chat_completion` or `create_video_generation`—and your agent figures out the best sequence of calls to get it done.

Use it with your favorite AI tools

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