Clarifai (Vision AI) MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Clarifai (Vision AI) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"clarifai-vision-ai": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Clarifai (Vision AI) Agent",
instructions:
"You help users interact with Clarifai (Vision AI) " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Clarifai (Vision AI)?"
);
console.log(result.text);
}
main();
* 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
About Clarifai (Vision AI) MCP Server
Connect your Clarifai account to any AI agent and take full control of your computer vision and AI workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Clarifai (Vision AI) tool infrastructure. Connect 6 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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
The Clarifai (Vision AI) MCP Server exposes 6 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Clarifai (Vision AI) to Mastra AI via MCP
Follow these steps to integrate the Clarifai (Vision AI) MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 6 tools from Clarifai (Vision AI) via MCP
Why Use Mastra AI with the Clarifai (Vision AI) MCP Server
Mastra AI provides unique advantages when paired with Clarifai (Vision AI) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Clarifai (Vision AI) without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Clarifai (Vision AI) tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Clarifai (Vision AI) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Clarifai (Vision AI) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Clarifai (Vision AI), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Clarifai (Vision AI) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Clarifai (Vision AI) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Clarifai (Vision AI) tools alongside other MCP servers
Clarifai (Vision AI) MCP Tools for Mastra AI (6)
These 6 tools become available when you connect Clarifai (Vision AI) to Mastra AI via MCP:
list_apps
Identify bounded Clarifai apps managing global compute limits
list_concepts
Extracts explicitly attached semantic bounds tagging datasets matching limits
list_datasets
Identify precise physical bounds mapping data structures resolving visual nodes
list_models
Perform structural extraction of computer vision parameters driving AI features
list_workflows
Retrieve the exact structural matching verifying chained AI limits
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
Example Prompts for Clarifai (Vision AI) in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Clarifai (Vision AI) immediately.
"List all my Clarifai apps for user 'user_123'"
"Predict using model 'general-v2' in app 'General-Vision' with image URL 'https://example.com/photo.jpg'"
"What datasets are available in the 'Custom-Trainer' app?"
Troubleshooting Clarifai (Vision AI) MCP Server with Mastra AI
Common issues when connecting Clarifai (Vision AI) to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpClarifai (Vision AI) + Mastra AI FAQ
Common questions about integrating Clarifai (Vision AI) MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Clarifai (Vision AI) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Clarifai (Vision AI) to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.