VS Code CopilotIDE

Why use Together AI MCP Server with VS Code Copilot?

Bring Llm
to VS Code Copilot

Name: Together AI MCP Server
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Create your Vinkius account to connect Together AI to VS Code Copilot and start using all 7 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

GDPR Free for Subscribers

Chat CompletionCreate Finetune JobGenerate EmbeddingsGenerate ImageList Available ModelsList Finetune JobsText Completion

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the Together AI MCP Server?

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

Sign up for this integration
Open your api.together.xyz control panel and fetch a developer API Key
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

Built-in capabilities (7)

chat_completion

Provide a model ID and a JSON array of messages. Executes a chat completion using Together AI models

create_finetune_job

Provide a base model ID and a training file ID. Creates a new fine-tuning job

generate_embeddings

Provide a model ID and a JSON array of strings. Generates vector embeddings for input texts

generate_image

Provide a model ID and descriptive prompt. Generates an image from a text prompt

list_available_models

Lists all AI models available on Together AI

list_finetune_jobs

Lists all fine-tuning jobs

text_completion

Provide a model ID and a prompt. Executes a base text completion

See what your AI agent can do with Together AI

Why VS Code Copilot?

GitHub Copilot Agent mode brings Together AI data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 7 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

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VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
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Project-scoped MCP configs (.vscode/mcp.json) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
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Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
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GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

See it in action

Together AI in VS Code Copilot

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Enterprise Security

Why run Together AI with Vinkius?

The Together AI connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 7 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

View full Together AI details →

Fully ManagedNo server setup

Plug & PlayNo coding needed

SecurePrivacy protected

PrivateYour data is safe

Cost ControlBudget limits

Control1-click disconnect

Auto-UpdatesMaintenance free

High SpeedOptimized for AI

Reliable99.9% uptime

Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents

Complete visibility into every agent action

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Together AI using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Explore Analytics

Why Vinkius

Together AI and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Together AI to VS Code Copilot through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations

<40msResponse time

100%Fully managed

	Raw MCP	Vinkius
Ready-to-use MCPs	Find and configure each manually	4,000+ MCPs ready to use
Connection Setup	Manual coding & server setup	1-click instant connection
Server Hosting	You host it yourself (needs 24/7 uptime)	100% hosted & managed by Vinkius
Security & Privacy	Stored in plaintext config files	Bank-grade encrypted vault
Activity Visibility	Blind execution (no logs or tracking)	Live dashboard with real-time logs
Cost Control	Runaway AI token spend risk	Automatic budget limits
Revoking Access	Must delete files or code to stop	1-click disconnect button

View step-by-step setup guide for VS Code Copilot →

The Vinkius Advantage

How Vinkius secures
Together AI for VS Code Copilot

Every request between VS Code Copilot and Together AI is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

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.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.