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Connect Clarifai Vision AI 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. Control your computer vision workflows through natural conversation.

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 · 6 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through Clarifai.

  1. 01

    Predict model

    This capability runs an automated inference to get image classifications and bounding box evaluations from a specific model.

  2. 02

    List workflows

    Use this to retrieve the specific chained AI structures you have built.

  3. 03

    List datasets

    This capability finds the specific physical data structures and visual nodes in your account.

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through Clarifai.

  1. 04

    List concepts

    Use this to extract the semantic tags and bounds attached to your datasets.

  2. 05

    List apps

    This capability identifies the Clarifai apps you have set up to manage your compute limits.

  3. 06

    List models

    This capability pulls the structural parameters for the computer vision models driving your features.

Real work

What teams actually run

01

Rapid Prototyping

A developer uses the agent to quickly test how a new model classifies a specific image URL.

02

Dataset Auditing

A data scientist asks the agent to list concepts to ensure training data is consistent.

03

Workflow Management

An ML engineer retrieves chained workflows to verify complex multi-model tasks.

04

Compute Monitoring

A team uses the agent to list apps and models to audit their current compute environment.

Automate a task

Put Clarifai 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

Clarifai 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 Clarifai 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

861ms average. Fast in production.

Clarifai is checked daily against the live service.

Daily averagePeak 1044ms
Oct 3Today
Fastest day
667ms
Slowest day
1044ms
14-day trend
Improving-9%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 6 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 Clarifai, so you can see the experience inside your AI.

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

Clarifai Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Wl7k3LILBATZT8oR2K1AY33RSlJewMKygOPyhcuJ/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 — Clarifai capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "clarifai-vision-ai-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Wl7k3LILBATZT8oR2K1AY33RSlJewMKygOPyhcuJ/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 Clarifai in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Clarifai owners hand off.

This MCP is built for technical teams working with computer vision and machine learning pipelines.

  • 01

    AI Developers

    They use the agent to test model predictions and workflow logic without writing boilerplate code.

  • 02

    Data Scientists

    They hand off dataset auditing and concept verification tasks to the agent.

  • 03

    ML Engineers

    They use the agent to monitor and manage active models and execution contexts.

  • 04

    Product Teams

    They use the agent to quickly verify vision logic during prototyping.

FAQ

Questions Clarifai owners ask.

  • 01

    How do I connect my Clarifai account?

    You subscribe to the MCP on Vinkius and enter your Clarifai Personal Access Token (PAT). Once connected, your AI client can immediately start using the capabilities.

  • 02

    Which AI clients can I use with this MCP?

    You can use any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 03

    Can I run image predictions through my agent?

    Yes, you can use the predict_model capability to send images to your Clarifai models and receive classification results and bounding boxes.

  • 04

    Does this MCP handle dataset management?

    Yes, you can use capabilities to list datasets and identify the semantic concepts used to tag your visual data.

  • 05

    Do I need to write code to test my models?

    No, this MCP is designed so you can test model predictions and inspect workflows using natural language instead of boilerplate code.

  • 06

    Can my agent run image predictions using custom models?

    Yes. Provide the User ID, App ID, and Model ID, along with the input JSON (containing image URLs or bytes). The agent calls Clarifai's predict API and returns exactly what the AI detected, from tags to bounding boxes.

  • 07

    How can I audit the datasets being used in my Clarifai app?

    Ask your agent to list datasets for a specific app. It returns the precise physical bounds mapping the image sets, helping you ensure that your training loop is using the correct data boundaries.

  • 08

    Can I see all active workflows in my organization?

    Absolutely. Use the 'list_workflows' capability. Your agent will pull the chained AI limits, showing you composed computational blocks that tie multiple neural networks together for complex visual tasks.

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