Clarifai (Vision AI)

Clarifai (Vision AI) MCP Connector for Claude

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Manage AI inference via Clarifai — list apps, models, and workflows, and perform computer vision predictions directly from any AI agent.

6 tools Official Updated Jun 28, 2026 Official Vinkius Partner

Connect your Clarifai account to any AI agent and take full control of your computer vision and AI workflows through natural conversation.

What you can do

  • AI Inference (Predictions) — Dispatch automated validation inferences and parse exactly what the neural networks evaluated
  • App & Model Management — List Clarifai apps and models to organize and audit your compute environments
  • Chained Workflows — Retrieve composed computational blocks that tie multiple models together for complex AI tasks
  • Datasets & Concepts — Identify data structures used for training and audit the textual concepts tagging your visual data
  • Identity Mapping — Navigate users and apps to isolate your AI logic across different execution contexts

How it works

  1. Subscribe to this server
  2. Enter your Clarifai Personal Access Token (PAT)
  3. Start managing your AI workflows from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • AI Developers — test model predictions and workflow logic using natural language without writing boilerplate code
  • Data Scientists — audit datasets and concepts to ensure training data consistency across different applications
  • ML Engineers — monitor and manage active compute brains (models) and their execution contexts
  • Product Teams — quickly verify AI output and vision logic during the prototyping phase
computer-visionmachine-learningmodel-inferenceneural-networksimage-recognitionai-workflows

6 tools expose this connector's capabilities to your AI agent.

list_apps

Identify bounded Clarifai apps managing global compute limits

list_models

Perform structural extraction of computer vision parameters driving AI features

predict_model

/models/{model_id}/outputs` parsing exactly what the AI limit evaluated bounding image classifications. Dispatch an automated validation inference routing explicit network predictions

list_workflows

Retrieve the exact structural matching verifying chained AI limits

list_datasets

Identify precise physical bounds mapping data structures resolving visual nodes

list_concepts

Extracts explicitly attached semantic bounds tagging datasets matching limits

See how to talk to your AI agent using Clarifai (Vision AI).

List all my Clarifai apps for user 'user_123'

I found 4 apps for 'user_123': 'Image-Moderation', 'Face-Recognition', 'General-Vision', and 'Custom-Trainer'. Which one would you like to explore?

Predict using model 'general-v2' in app 'General-Vision' with image URL 'https://example.com/photo.jpg'

Inference complete! The model detected: 'Person' (99.2%), 'Outdoors' (95.4%), 'Mountain' (92.1%). I have the full JSON response if you need the bounding boxes.

What datasets are available in the 'Custom-Trainer' app?

The 'Custom-Trainer' app has 2 datasets: 'training-v1' (500 images) and 'validation-v1' (100 images). I can also list the concepts tagging these images.

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.

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