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Vinkius

DeepInfra (Serverless LLM Inference) Connector for AI agents.

4 live capabilities

Run open-source LLM inference and image generation for your projects.

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Why people use DeepInfra (Serverless LLM Inference)

DeepInfra for Serverless LLM Inference

This Connector changes the math by providing on-demand access to a massive library of open-source models. You get the power of DeepSeek, Llama 3, and FLUX without ever touching a server. You just connect your API key and start querying, getting the exact model you need for the job at that moment.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get instant access to a massive library of open-source models without managing any hardware.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Building a RAG system

    A developer needs to turn a massive PDF library into a searchable database.

  2. Real-world use case 02

    Creating marketing assets

    A social media manager wants a specific cyberpunk aesthetic.

  3. Real-world use case 03

    Processing bulk documents

    A data worker needs to extract text from hundreds of scanned receipts.

Complete set · 4capabilities

The complete DeepInfra (Serverless LLM Inference) capability set.

These are the exact actions your AI can choose when you ask it to work with DeepInfra (Serverless LLM Inference).

Capability set01 / 01

01—04

4 capabilities in this set.

Part of 4 available through DeepInfra (Serverless LLM Inference).

  1. 01 Capability

    Run native inference

    Execute non-standard tasks like OCR or speech-to-text. It's the go-to for specialized model requirements.

  2. 02 Capability

    Create embedding

    Turn text into vectors for semantic search or RAG. It helps you build better search systems.

  3. 03 Capability

    Generate image

    Create visuals from a text prompt using models like FLUX. It lets you generate custom assets on the fly.

  4. 04 Capability

    Create chat completion

    Get text responses from models like DeepSeek-V3. You can set specific temperatures and token limits.

Set up in minutes

One URL. Then ask DeepInfra (Serverless LLM Inference) to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use DeepInfra (Serverless LLM Inference) from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_RMvS2UlIMhdShOjNbZfqar6XAZE9QfzTMbaejxJY/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it DeepInfra (Serverless LLM Inference), and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable DeepInfra (Serverless LLM Inference) for the conversation.

Where the request belongs

Work DeepInfra can move forward.

Built around the request

The developer who is tired of managing GPU clusters and the content creator who needs more variety than a single model can offer.

01

AI Engineer

Building RAG pipelines and testing different open-source models for specific tasks on a Tuesday afternoon.

02

Content Marketer

Generating high-quality images and text variations for social campaigns directly in their workspace.

03

Data Scientist

Creating vector embeddings for large-scale semantic search projects without setting up local infrastructure.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

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Access powerful LLMs, fine-tune models on your own data, and generate embeddings directly through your AI agent.

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02 13 capabilities

Eden AI

Access 100+ AI models through a single API. route LLMs, generate embeddings, and execute specialized AI tasks like OCR and translation.

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03 7 capabilities

Together AI

Generate code, evaluate embeddings, and deploy open-source LLMs instantly from your local agent via Together AI's infrastructure.

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Mistral AI (Frontier LLMs & Embeddings) logo
04 7 capabilities

Mistral AI (Frontier LLMs & Embeddings)

Manage AI inference via Mistral. execute chat completions, generate RAG embeddings, and audit frontier models.

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OpenAI logo
05 10 capabilities

OpenAI

Use GPT-4o, DALL-E 3, embeddings, fine-tuning, and moderation as capabilities inside your AI agent workflows.

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NVIDIA AI logo
06 9 capabilities

NVIDIA AI

Access LLMs, embeddings, code generation, and reasoning via NVIDIA API Catalog.

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Bring your own AI

Change the model, client or framework. Keep DeepInfra connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about DeepInfra.

The practical details behind the request, access and result.

What models can I run with the DeepInfra MCP?

You can access a wide range of open-source models, including DeepSeek, Llama 3, and FLUX. This gives you the flexibility to choose the best model for your specific needs, whether it's for complex reasoning, text generation, or image creation.

Does the DeepInfra MCP support image generation?

Yes, it does. You can use it to generate high-quality images from text prompts using models like FLUX. This makes it a great choice for content creators who need variety in their visual assets.

Can I use this Connector for my RAG system?

Absolutely. You can use it to create high-dimensional embeddings from your text data. This is perfect for building semantic search pipelines and Retrieval-Augmented Generation systems.

Do I need to manage any hardware to use the DeepInfra MCP?

No, you don't. This Connector provides on-demand inference, meaning the infrastructure is handled for you. You just need your API key to start running models immediately.

Can the DeepInfra MCP handle tasks like OCR?

Yes, it can. You can use the native inference capabilities to run specialized models for tasks like OCR, speech-to-text, and other non-standard requirements that don't follow typical chat formats.

Is the DeepInfra MCP compatible with Claude and Cursor?

Yes, it's designed to work with any MCP-compatible client. You can easily connect it to Claude, Cursor, Windsurf, or VS Code to bring these models into your existing workspace.

Which LLM models can I use with the chat capability?

You can use any model hosted on DeepInfra, such as deepseek-ai/DeepSeek-V3 or meta-llama/Llama-3.3-70B-Instruct, by passing the model name to the create_chat_completion capability.

How do I generate images using FLUX or Stable Diffusion?

Use the generate_image capability. Simply provide the model name (e.g., black-forest-labs/FLUX-1-schnell) and your text prompt to receive the generated image URL.

What is the 'run_native_inference' capability used for?

It is used for models that don't follow the OpenAI chat/image spec, such as audio transcription (Whisper), specialized OCR models, or your own private model deployments on DeepInfra.

One connection away

Give your agent a direct line to DeepInfra.

Connect DeepInfra once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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