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Connect Sambanova AI Inference 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. Get record-breaking tokens per second for your AI agents.

Ask AI about this Connector

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

A futuristic MCP client docking bay
V8 Isolate01

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.

Kill Switch02

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.

FinOps per User03

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 · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through SambaNova.

  1. 01

    Create embedding

    This capability generates high-dimensional text representations using SambaStack. It's useful for building vector databases and RAG pipelines.

  2. 02

    Create chat completion

    This capability handles chat completions using SambaNova models. It follows the OpenAI Chat Completions API format for easy integration.

  3. 03

    Create response

    This capability produces typed output items via the SambaNova Responses API. It is designed specifically for reliable, structured agentic workflows.

Real work

What teams actually run

01

Real-time AI Agents

Use high-speed inference to power agents that need to respond without lag.

02

RAG Pipelines

Generate embeddings at scale to populate vector databases for retrieval.

03

Automated Workflows

Use typed responses to ensure agent actions follow a strict data schema.

04

Large-scale Data Processing

Leverage high throughput to process massive amounts of text through open-source models.

Automate a task

Put SambaNova 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

SambaNova 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put SambaNova 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

875ms average. Fast in production.

SambaNova is checked daily against the live service.

Daily averagePeak 1136ms
Oct 3Today
Fastest day
748ms
Slowest day
1136ms
14-day trend
Slowing+37%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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 SambaNova, so you can see the experience inside your AI.

It does not authenticate your account with SambaNova. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

SambaNova Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_z52tsMdkFaoCTCBeg6u7bbxNhhnjcT0r5KXU6hjj/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — SambaNova capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "sambanova-ai-inference-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_z52tsMdkFaoCTCBeg6u7bbxNhhnjcT0r5KXU6hjj/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 SambaNova in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work SambaNova owners hand off.

This MCP is built for technical users who need massive scale and low latency.

  • 01

    AI Engineers

    They use this to build real-time applications that require high throughput.

  • 02

    Developers

    They use this as a faster, more cost-effective alternative to standard LLM providers.

  • 03

    Data Scientists

    They use this to generate embeddings for large-scale knowledge bases.

FAQ

Questions SambaNova owners ask.

  • 01

    Which models can I use with this MCP?

    You can access models like Meta-Llama-3.3-70B-Instruct, DeepSeek-V3.1, and MiniMax-M2.7.

  • 02

    How do I connect it to my AI client?

    Once you subscribe on Vinkius, you can connect it to Claude, Cursor, Windsurf, or any other MCP-compatible client with one click.

  • 03

    What makes the inference speed different?

    The speed comes from SambaNova's specialized SN40L chips and DataScale infrastructure, which are designed for high-speed dataflow.

  • 04

    Can I use this for RAG?

    Yes, you can use the create_embedding capability to generate text representations for your retrieval-augmented generation workflows.

  • 05

    Is this compatible with OpenAI capabilities?

    Yes, the create_chat_completion capability is compatible with the OpenAI Chat Completions API format.

  • 06

    Which models are available for chat completions?

    You can use create_chat_completion with models like Meta-Llama-3.3-70B-Instruct, DeepSeek-V3.1, and MiniMax-M2.5 for high-speed text generation.

  • 07

    Can I generate embeddings for my RAG pipeline?

    Yes! Use the create_embedding capability with models like E5-Mistral-7B-Instruct to create vectorized representations of your text data.

  • 08

    What is the difference between create_chat_completion and create_response?

    create_chat_completion follows the standard OpenAI chat format, while create_response is a stateless API designed specifically for agentic workflows, returning typed output items.

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