Arize AI MCP Server for Mastra AIGive Mastra AI instant access to 6 tools to Create Dataset, Get Model, List Datasets, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Arize AI through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Arize AI app connector for Mastra AI is a standout in the Friends Mcp category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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: {
"arize-ai-alternative": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Arize AI Agent",
instructions:
"You help users interact with Arize AI " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Arize 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 Arize AI MCP Server
Connect your Arize AI account to any AI agent and take full control of your machine learning observability and automated model monitoring workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Arize 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
- Project & Trace Orchestration — List and monitor active ML tracing projects programmatically, retrieving detailed high-fidelity execution spans and telemetry data in real-time
- Dataset Lifecycle Management — Programmatically create and manage datasets for model evaluation and validation to maintain a perfectly coordinated ML infrastructure
- Experiment Monitoring — Access and track ML experiments to understand high-fidelity model performance, drift, and data quality across different environments
- Model Intelligence Discovery — Retrieve detailed metadata for specific ML models to coordinate your organizational AI strategy directly through your agent
- Operational Monitoring — Access account-level settings and verify API connectivity directly through your agent for instant performance reporting
The Arize 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.
All 6 Arize AI tools available for Mastra AI
When Mastra AI connects to Arize AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning ml-observability, model-monitoring, data-drift, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a dataset
Get model details
List datasets
List experiments
List projects
List spans
Connect Arize AI to Mastra AI via MCP
Follow these steps to wire Arize AI into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Arize AI MCP Server
Mastra AI provides unique advantages when paired with Arize AI through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Arize 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 Arize 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
Arize AI + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Arize AI MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Arize AI, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Arize 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 Arize AI on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Arize AI tools alongside other MCP servers
Example Prompts for Arize AI in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Arize AI immediately.
"List all active ML projects in my Arize account."
"Show the recent execution spans for project '1024'."
"Create a new dataset 'Q2_Eval_Data' for model evaluation."
Troubleshooting Arize AI MCP Server with Mastra AI
Common issues when connecting Arize AI to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpArize AI + Mastra AI FAQ
Common questions about integrating Arize 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.