
Connect Together AI to ChatGPT, Claude and Gemini
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Run high-speed models and fine-tuning jobs directly from your agent.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 7 capabilities
We ship only the actions that matter.
01-04
4 capabilities in this set.
Part of 7 available through Together AI.
- 01
Chat completion
Executes chat completions using Together AI models. You provide a model ID and a list of messages to get a response.
- 02
Create finetune job
Starts a new fine-tuning process. You specify a base model and a training file to begin customizing a model.
- 03
Generate embeddings
Creates vector embeddings for your text. This capability turns strings into numerical arrays for use in analytical databases.
- 04
Generate image
Produces images from text prompts. It uses diffusion models to turn your descriptions into visual assets.
05-07
3 capabilities in this set.
Part of 7 available through Together AI.
- 05
List finetune jobs
Retrieves a list of all active and completed fine-tuning jobs.
- 06
List available models
Shows you every model currently supported on the Together AI network.
- 07
Text completion
Runs standard text completion tasks. You provide a model ID and a prompt to get a direct text output.
Real work
What teams actually run
Rapid Prototyping
Test different open-source models for a specific prompt to compare outputs instantly.
RAG Pipeline Prep
Generate embeddings for large text datasets to populate a vector database.
Custom Model Training
Kick off a fine-tuning job for a specific dataset and monitor it while you continue coding.
Asset Generation
Create visual assets for a project by describing them to the agent.
Automate a task
Put Together AI to work on one thing.
Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.
One connector, every AI
Together AI works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Together AI to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
858ms average. Fast in production.
Together AI is checked daily against the live service.
- Fastest day
- 663ms
- Slowest day
- 1000ms
- 14-day trend
- Stable+1%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 7 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Together AI, so you can see the experience inside your AI.
It does not authenticate your account with Together AI. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Together AI Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_uwxFbBTrWtpKdtNP0Ee38Zmxxir6fie6FBKXtn0o/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Together AI capabilities are ready to use.
{
"mcpServers": {
"together-ai-mcp": {
"url": "https://edge.vinkius.com/vk_preview_uwxFbBTrWtpKdtNP0Ee38Zmxxir6fie6FBKXtn0o/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? Set up Together AI in Claude and other AIs
Who it's for
Built for the work Together AI owners hand off.
This MCP is built for technical users who need to move between model experimentation and production-ready inference without switching capabilities.
- 01
AI Developers
They use the MCP to manage fine-tuning parameters and launch training jobs directly from their chat interface.
- 02
Software Engineers
They use the capability to test open-source completions natively within their code editors.
- 03
Machine Learning Engineers
They use it to bulk-generate vectors from logs using embedding models attached to their agent.
FAQ
Questions Together AI owners ask.
- 01
How do I use Together AI with my AI client?
You connect the MCP via Vinkius, provide your Together AI API key, and your client will immediately have access to the available capabilities.
- 02
Which models can I access?
You can access any model supported by the Together AI network, including Llama and Mixtral models.
- 03
Can I fine-tune models using this MCP?
Yes, you can create new fine-tuning jobs and list their statuses using the provided capabilities.
- 04
Is this MCP hosted?
Yes, Vinkius hosts and manages the MCP, so you don't need to run any local infrastructure to keep it active.
- 05
Can I generate images?
Yes, the MCP includes a capability to generate images from text prompts using diffusion models.
- 06
Where do I obtain my Together AI API Key?
Log in to the developer portal via api.together.xyz/settings/api-keys. If you do not have an existing key, click Create API Key. This token enables the execution of remote inferences spanning their hosted clusters securely.
- 07
Do I have to pay to use Together models through the agent?
Yes. This connector simply routes your instructions to Together AI. Any tokens consumed during chat completion, embeddings, images generation, or fine-tuning workloads are billed directly to your registered Together AI account balance according to their official compute pricing models.
- 08
Can I access free models on Together AI?
Yes! Together AI frequently offers free tiers for certain open-source models intended for experimentation and research. You can query these directly from your agent without depleting your account balance, though specific free-tier rate limits will apply.
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Connect Together AI to Claude, Cursor, ChatGPT & more
