Arize AI MCP Server for Mastra AI 10 tools — connect in under 2 minutes
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 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: {
"arize-ai": {
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 10 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 observability platform to any AI agent and take full control of your Machine Learning and LLM telemetry workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Arize AI tool infrastructure. Connect 10 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
- Model Monitoring & Metrics — List all tracked ML models, extract deep configuration schemas, and fetch real-time metrics (performance, data quality, and prediction drift)
- Evaluation & Alignment — Launch and list automated LLM evaluation runs (e.g., Toxicity, Hallucination, PII filtering) against static datasets and ground truth baselines
- Telemetry Ingestion — Push programmatic raw logs, predictions, and inferences straight into Arize for immediate visualization and tracking
- Space & Environment Management — Browse organizational spaces and segregated deployment environments (Production, Training, Verification)
The Arize AI MCP Server exposes 10 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 Arize AI to Mastra AI via MCP
Follow these steps to integrate the Arize 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 10 tools from Arize AI via MCP
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
Arize AI MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Arize AI to Mastra AI via MCP:
get_dataset
Get a specific evaluation dataset
get_metrics
Fetch observability metrics for an ML model
get_model
It defines the inputs, outputs, and features. Get details and metadata for a specific tracked model
ingest_log
payload_json must contain valid Arize payload structures. Ingest raw telemetry logs into Arize
list_datasets
List static evaluation datasets
list_environments
g., Production, Training, Verification) used to segregate model inferences and baseline datasets. List configured environments within Arize
list_evals
g., Toxicity, Hallucination, PII filtering). List automated evaluation runs
list_models
List tracked ML models or LLMs
list_spaces
Spaces separate different models and telemetry datasets. List accessible workspaces within the Arize platform
run_eval
Trigger a custom LLM evaluation run
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 Machine Learning models monitored in my workspace."
"Get the evaluation baseline datasets available for our LLM checks."
"Push these 3 mocked prompt responses as telemetry logs to the 'OpenAI-Customer-Service-Bot' model."
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.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Arize 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 Arize AI to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.