Together AI MCP Server
Generate code, evaluate embeddings, and deploy open-source LLMs instantly from your local agent via Together AI's infrastructure.
Ask AI about this MCP Server
Vinkius supports streamable HTTP and SSE.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
What is the Together AI MCP Server?
The Together AI MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Together AI via 7 tools. Generate code, evaluate embeddings, and deploy open-source LLMs instantly from your local agent via Together AI's infrastructure. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (7)
Tools for your AI Agents to operate Together AI
Ask your AI agent "List all the models currently available on Together AI." and get the answer without opening a single dashboard. With 7 tools connected to real Together AI data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client


















Together AI MCP Server capabilities
7 toolsProvide a model ID and a JSON array of messages. Executes a chat completion using Together AI models
Provide a base model ID and a training file ID. Creates a new fine-tuning job
Provide a model ID and a JSON array of strings. Generates vector embeddings for input texts
Provide a model ID and descriptive prompt. Generates an image from a text prompt
Lists all AI models available on Together AI
Lists all fine-tuning jobs
Provide a model ID and a prompt. Executes a base text completion
What the Together AI MCP Server unlocks
Connect your Together AI account to any AI agent and integrate bleeding-edge open-source models seamlessly into your workflow. Harness world-class inference speeds to query Llama, Mixtral, and more, or orchestrate specialized model fine-tuning jobs straight from your chat environment.
What you can do
- Model Discovery — Explore and list all currently supported models on the Together network, identifying the best engine for any NLP or vision task
- Conversational AI — Run chat completion cycles on advanced models simply by supplying a model ID directly from the chat prompt
- Vector Storage Preparation — Generate instant rich embeddings for input texts, ready to populate your analytical databases
- Creative Media — Instruct external diffusion models to generate images using detailed physical descriptions
- Custom Fine-Tuning — Provision custom training runs by indicating a base framework and dataset file, alongside tracking existing job statuses
How it works
1. Sign up for this integration
2. Open your api.together.xyz control panel and fetch a developer API Key
3. Plug the key above, specify models to your agent, and enjoy sub-second serverless inference directly inside your command interface
Who is this for?
- AI Developers — Orchestrate fine-tuning parameters and launch jobs to the compute cluster without CLI switching
- Software Engineers — Use the provider to test completions using alternative open-source solutions (e.g., Llama 3) natively in code editors
- Machine Learning Engineers — Bulk-generate vectors from raw logs using embedding models attached straight to their main conversational agent
Frequently asked questions about the Together AI MCP Server
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.
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.
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.
More in this category
You might also like
Connect Together AI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Together AI MCP Server
Production-grade Together AI MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






