VS Code CopilotIDE

Together AI Alternative MCP Server

Bring Llm
to VS Code Copilot

Name: Together AI Alternative MCP Server
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Learn how to connect Together AI Alternative to VS Code Copilot and start using 27 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Cancel BatchCreate Audio SpeechCreate Audio TranscriptionCreate BatchCreate Chat CompletionCreate EmbeddingsCreate EndpointCreate Fine TuneCreate Image GenerationCreate RerankCreate Text CompletionCreate Video GenerationDelete EndpointDelete FileDelete Fine TuneGet BatchGet EndpointGet FileGet Fine TuneList BatchesList EndpointsList FilesList Fine Tune CheckpointsList Fine TunesList ModelsUpdate EndpointUpload File

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Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

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Gemini

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VS Code

JetBrains

Vercel

+ other MCP clients

What is the Together AI Alternative MCP Server?

Connect Together AI to your AI agent to leverage the world's fastest inference cloud for open-source models. This server provides a comprehensive suite of tools for generative AI, from text and image creation to advanced fine-tuning and batch processing.

What you can do

Inference & Chat — Generate high-quality responses using models like Llama 3.3, Qwen, and Mixtral via chat or text completions.
Media Generation — Create stunning images and videos from text prompts using state-of-the-art models like Flux and Stable Diffusion.
Audio Services — Convert text to speech (TTS) or transcribe audio files (STT) with speaker identification.
Advanced RAG — Generate vector embeddings and rerank documents to build high-performance search and retrieval systems.
Model Management — Manage fine-tuning jobs, dedicated endpoints, and file uploads for custom model training.
Batch Processing — Handle large-scale asynchronous workloads efficiently using the Batch API.

How it works

Subscribe to this server
Enter your Together AI API Key
Start building with the most powerful open-source models directly from your MCP-compatible client

Who is this for?

AI Developers — integrate cutting-edge LLMs and image models into your applications without managing infrastructure
Data Scientists — fine-tune models on custom datasets and manage checkpoints seamlessly
Product Teams — prototype and scale AI features using a unified, high-performance API

Built-in capabilities (27)

cancel_batch

Cancel a running batch job

create_audio_speech

Text-to-Speech (TTS) generation

create_audio_transcription

Transcriptions (STT) from audio file

create_batch

Create a new asynchronous batch job

create_chat_completion

3-70B-Instruct-Turbo. Generate a model response for a given chat conversation

create_embeddings

Turn text into vector embeddings

create_endpoint

Create a dedicated endpoint for predictable performance

create_fine_tune

Create a fine-tuning job

create_image_generation

Generate images from text prompts

create_rerank

Reorder documents by relevance to a query

create_text_completion

Generate text completions for a given prompt

create_video_generation

Create videos from text or image prompts

delete_endpoint

Delete a dedicated endpoint

delete_file

Delete an uploaded file

delete_fine_tune

Delete a fine-tuning job

get_batch

Get details of a specific batch job

get_endpoint

Get details of a specific dedicated endpoint

get_file

Retrieve metadata for a specific file

get_fine_tune

Get details of a specific fine-tuning job

list_batches

List all batch jobs

list_endpoints

List all dedicated endpoints

list_files

List all uploaded files

list_fine_tune_checkpoints

List checkpoints for a fine-tuning job

list_fine_tunes

List all fine-tuning jobs

list_models

List all available models on Together AI

update_endpoint

Update a dedicated endpoint (Start/Stop/Scale)

upload_file

Upload a file for fine-tuning, evals, or batch inference

Why VS Code Copilot?

GitHub Copilot Agent mode brings Together AI Alternative data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 27 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

—
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 Alternative in VS Code Copilot

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Together AI Alternative and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Together AI Alternative to VS Code Copilot through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for VS Code Copilot →

Enterprise Security

Why teams choose Vinkius for Together AI Alternative in VS Code Copilot

The Together AI Alternative 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. All 27 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in VS Code Copilot 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, zero maintenance.

Unlock for AI Agents View full Together AI Alternative details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures
Together AI Alternative for VS Code Copilot

Every tool call from VS Code Copilot to the Together AI Alternative MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

How do I generate a chat response using a specific model like Llama 3.3?

Use the create_chat_completion tool. Specify the model name (e.g., 'meta-llama/Llama-3.3-70B-Instruct-Turbo') and provide an array of messages. The agent will return the generated response from the model.

Can I create images from text prompts with this server?

Yes! Use the create_image_generation tool. You can specify the model, the prompt description, and optional parameters like width, height, and steps to get high-quality visual outputs.

How can I check the status of my asynchronous batch jobs?

You can use list_batches to see all your current batch jobs or get_batch with a specific Job ID to retrieve detailed status and results for a particular task.

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.